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  • Synthesis, Characterization, In-Silico Anticancer Evaluation & In-Vivo Antioxidant Evaluation of Novel Benzothiazole Derivatives

  • Department of Pharmaceutical Chemistry, Sagar Institute of Technology and Management, Department of  Pharmacy, Barabanki.

Abstract

Breast cancer is one of the most common and deadly cancers that affect women globally. Because of its rising frequency, resistance to treatment, and side effects from traditional chemotherapy, it remains a significant global health concern. The search for novel anticancer agents possessing improved safety, selectivity, and additional pharmacological benefits has therefore become an important area of medicinal chemistry research. In the present investigation, a series of novel benzothiazole-based Schiff base derivatives were designed, synthesized, characterized, and evaluated for their anticancer and antioxidant potential. The target compounds (3a–3f) were synthesized through a multistep synthetic route involving preparation of substituted benzothiazol-2amine intermediates followed by condensation with cinnamaldehyde derivatives. The anticancer potential of the synthesized derivatives was assessed through molecular docking studies using AutoDock Vina against two important breast cancer–associated target proteins, namely Epidermal Growth Factor Receptor kinase domain (EGFR, PDB ID 2J6M) and Human Estrogen Receptor Alpha Ligand (ER?, PDB ID: 3ERT). Docking analysis demonstrated favorable binding affinity and stable interaction profiles of the synthesized compounds within the active binding cavity of both receptors. Several derivatives exhibited docking scores comparable to or higher than the standard drug Tamoxifen, indicating promising receptor binding potential.

Keywords

Benzothiazole derivatives, Breast cancer, Molecular docking, EGFR kinase, Estrogen receptor alpha, Antioxidant activity, Schiff base, Tamoxifen

Introduction

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Cancer is a complicated group of illnesses marked by the unchecked proliferation and dissemination of aberrant cells that can invade surrounding tissues and spread to other organs these biological hallmarks distinguish cancer from benign growths and make it a formidable public health threat worldwide.

Cancer is one of the most significant causes of death worldwide. According to the WHO, cancer was accountable for an estimated 10 million deaths in 2020, representing nearly one in six deaths globally.

Breast cancer is unique among cancer types because of its extremely high incidence and high fatality rate. Globally, an estimated 2.3 million women received a breast cancer diagnosis in 2022, and the disease claimed the lives of about 670,000 people. In 157 out of 185 nations, breast cancer was the most prevalent disease diagnosed in women. It can strike at any age after puberty, and the risk rises with age.[6]

Benzothiazole is an important bicyclic heterocyclic compound that has attracted considerable attention in medicinal and pharmaceutical chemistry due to its unique structural features and broad spectrum of biological activities. Structurally, benzothiazole consists of a fused benzene ring and a thiazole moiety containing both sulfur and nitrogen heteroatoms. This conjugated heteroaromatic framework confers remarkable chemical stability, planarity, and electronic versatility, making benzothiazole a privileged scaffold in drug discovery and development.

The presence of heteroatoms within the benzothiazole nucleus allows for diverse intermolecular interactions, including hydrogen bonding, π–π stacking, and coordination with biological targets.[39]

These properties enable benzothiazole derivatives to interact effectively with enzymes, receptors, nucleic acids, and other biomacromolecules, thereby contributing to their wide-ranging pharmacological potential.[40]

Benzothiazole-Based Agents in Role in Oncology and Cancer Diagnostics

Benzothiazole derivatives have gained considerable attention in oncology, both as therapeutic agents and diagnostic tools. Their planar aromatic nature facilitates interactions with DNA, enzymes, and signaling proteins involved in cancer cell proliferation and survival. Quizartinib (Vanflyta), a highly selective type II FLT3 inhibitor approved for the treatment of acute myeloid leukemia, exemplifies the potential of benzothiazole-related scaffolds in targeted cancer therapy. By selectively inhibiting aberrant kinase signaling, such compounds contribute to improved treatment specificity and reduced systemic toxicity. Phortress is an experimental benzothiazole-based antitumor prodrug designed to target breast, ovarian, and renal carcinomas. It undergoes metabolic activation within tumor cells, generating cytotoxic intermediates that selectively impair cancer cell viability. This strategy underscores the value of benzothiazole derivatives in prodrug design and tumor-selective therapy.[43]

Scheme

 

 

 

 

Materials

List of Chemical Used

 

 

 

 

Methodology

Molecular Docking Study

Molecular docking studies were performed to investigate the binding affinity, molecular interactions, and possible binding orientations of the synthesized benzothiazole derivatives (3a–f) against selected breast cancer–related target proteins. Docking analysis helps in understanding the interaction behavior of synthesized compounds within the active binding cavity of receptor proteins and predicts their potential biological activity at the molecular level.

 

 

 

Fig 4.1 Molecular Docking

 

The docking study performed using AutoDock Vina, which is widely used for predicting ligand–protein interactions based on binding free energy calculations and conformational flexibility. The synthesized derivatives were evaluated against two important breast cancer–associated molecular targets, namely the EGFR kinase domain and Human Estrogen Receptor Alpha.

Selection of Target Proteins

The current molecular docking study's target proteins were linked to the advancement of breast cancer and cellular proliferation. The Protein Data Bank (PDB) provided the proteins' three-dimensional crystal structures.

The selected target proteins were:

Target 1: EGFR kinase domain (PDB ID: 2J6M)

The Epidermal Growth Factor Receptor (EGFR) is a membrane-bound receptor possessing intrinsic tyrosine kinase activity and is critically involved in regulating several cellular processes such as proliferation, survival, differentiation, migration, and angiogenesis. Dysregulation or excessive expression of EGFR has been frequently observed in multiple malignancies, particularly breast cancer, where it contributes to uncontrolled tumor growth and metastatic progression. Due to its significant role in cancer cell signaling pathways, EGFR has emerged as an important molecular target for the development of anticancer agents aimed at suppressing tumor progression through inhibition of kinase activity.

Target 2: Human Estrogen Receptor Alpha Ligand (PDB ID: 3ERT)

Human Estrogen Receptor Alpha (ERα) is a ligand-activated nuclear transcription factor that plays a crucial role in the initiation and progression of hormone-responsive breast cancer. Upon interaction with estrogenic compounds, ERα regulates the expression of genes associated with cellular growth, proliferation, and survival. Abnormal activation of this receptor has been closely linked with estrogen-dependent breast tumor development. Consequently, targeting ERα through receptor antagonism or modulation has become a well-established therapeutic strategy in the management of estrogen receptor–positive breast cancer.

Ligand Preparation

The chemical structures of all synthesized benzothiazole derivatives (3a–f) were drawn using ChemDraw software. The two-dimensional structures were converted into three-dimensional conformations and subjected to geometry optimization in order to obtain energetically stable molecular structures suitable for docking analysis.

The optimized structures were saved in MOL format, then Open Babel was used to transform them into PDB format. Hydrogen atoms were added during ligand preparation, and energy minimization was used to eliminate undesirable conformations and steric hindrance. Ultimately, all ligand structures were transformed into PDBQT format, which is necessary for docking simulations using Auto Dock Vina.

Protein Preparation

The crystal structures of the selected proteins were downloaded in PDB format from the Protein Data Bank. Prior to docking, protein structures were prepared carefully to ensure proper ligand binding analysis.

Protein preparation involved the following steps:

  • Removal of co-crystallized ligands and heteroatoms
  • Deletion of water molecules present in the crystal structure
  • Addition of polar hydrogen atoms
  • Assignment of Kollman charges
  • Correction of missing atoms and bond orders where necessary
  • Conversion of protein structures into PDBQT format

Protein preparation done by AutoDock tools to obtain receptor files compatible with AutoDock Vina.

Active Site Identification

The active binding site of each target protein was identified based on the binding position of the co-crystallized ligand present in the crystal structure. The amino acid residues surrounding the ligand-binding cavity were selected for grid box generation.

For EGFR kinase domain (2J6M), important active site residues included Leu718, Val726, Ala743, Lys745, Thr790, Leu788, and Leu844, which are known to participate in ATP-binding and kinase inhibition.

For Human Estrogen Receptor Alpha (3ERT), important amino acid residues involved in ligand binding included Glu353, Arg394, His524, Leu387, and Phe404.

Docking Procedure

Docking simulations were performed using AutoDock Vina to evaluate the interaction of synthesized compounds with the selected receptor proteins. A grid box was generated around the active site region of each protein to allow ligand flexibility and proper exploration of the binding cavity.

During docking, the ligands were allowed to adopt different conformations and orientations inside the receptor binding pocket. AutoDock Vina calculated the binding affinity based on intermolecular interactions such as hydrogen bonding, hydrophobic interactions, van der Waals forces, and electrostatic interactions.

The docking score obtained from AutoDock Vina was expressed in kcal/mol. Lower binding energy values indicated stronger ligand–protein interaction and better binding stability. The best docking pose for each ligand was selected based on minimum binding energy and favorable interaction profile.

Post-Docking Analysis and Visualization

The docked ligand–protein complexes were analyzed for intermolecular interactions and binding orientation using PyMOL and BIOVIA Discovery Studio Visualizer.

Two-dimensional and three-dimensional interaction analyses were performed to identify:

  • Hydrogen bond interactions
  • Hydrophobic interactions
  • π–π stacking interactions
  • π–alkyl interactions
  • van der Waals interactions
  • Electrostatic interactions

The amino acid residues involved in ligand stabilization inside the active site were carefully examined and compared with the interactions shown by the standard drug.

Standard Drug for Comparative Docking

The docking results of synthesized compounds were compared with the standard anticancer drug Tamoxifen. Tamoxifen was selected as the reference ligand because of its established role in breast cancer therapy and its reported interaction with estrogen receptor and related oncogenic targets.

The comparative docking study helped in evaluating the potential anticancer activity of the synthesized benzothiazole derivatives and identifying compounds with promising receptor binding characteristics for further biological evaluation.

Synthetic Procedures

General Procedure for the Synthesis of Substituted Benzothiazol-2amine Derivatives (2a–f)

The substituted benzo[d]thiazol-2-amine derivatives (2a–f) were prepared by an oxidative cyclization method using suitably substituted aniline derivatives as starting materials in the presence of potassium thiocyanate under acidic conditions. In the initial step, potassium thiocyanate (8 g, 0.08 mol) along with the corresponding substituted aniline derivative (1.45 g, 0.01 mol) was dissolved in 20 mL of pre-chilled glacial acetic acid under constant stirring to obtain a homogeneous reaction mixture. The reaction temperature was carefully controlled at a low level with the help of an ice–salt bath in order to minimize excessive heat evolution and ensure smooth progression of the cyclization process.

 

 

 

 

A bromine solution prepared by dissolving bromine (1.6 mL) in glacial acetic acid (6 mL) was added slowly to the reaction mixture in a dropwise manner over approximately 105 minutes with constant stirring. Careful addition of bromine was necessary to control the exothermic nature of the cyclization process. After complete addition, the reaction mixture was stirred continuously for an additional 2 hours under cold conditions and then allowed to stir at room temperature for nearly 10 hours. The reaction mixture was subsequently kept undisturbed overnight to ensure completion of cyclization.

After completion of the reaction, the mixture was heated at approximately 85 °C with the addition of 6 mL of distilled water and filtered while hot to obtain the first filtrate. The remaining residue was further extracted using 10 mL of glacial acetic acid at the same temperature and filtered again to obtain a second filtrate. Both filtrates were combined and allowed to cool to room temperature. The combined solution was then neutralized carefully using concentrated ammonia solution until the pH reached nearly 6, leading to the formation of a precipitated solid product.

The separated crude product was collected by filtration, washed appropriately, and subjected to purification using activated charcoal treatment. Final purification was carried out by recrystallization from a benzene–ethanol solvent mixture (1:1), affording pure substituted benzo[d]thiazol-2-amine derivatives (2a–f) in crystalline form.

Synthesis of N-(Substitutedbenzo[d]thiazol-2-yl)-3-phenylprop-2-en-1-imine Derivatives (3a–f)

The Schiff base derivatives of benzothiazole, namely N-(substitutedbenzo[d]thiazol-2-yl)-3-phenylprop-2-en1-imine (3a–f), were synthesized by condensation of substituted benzo[d]thiazol-2-amines with cinnamaldehyde under reflux conditions. Equimolar quantities of substituted benzo[d]thiazol-2-amine and cinnamaldehyde were dissolved in absolute ethanol in a clean round-bottom flask equipped with a reflux condenser. To promote the condensation reaction and facilitate imine bond formation, a few drops of glacial acetic acid were introduced as a catalyst.

 

 

 

 

The reaction mixture was heated under reflux for approximately 3–4 hours with continuous stirring. The reaction progress is observed using TLC using a suitable mobile phase system. Formation of a new spot corresponding to the desired product confirmed completion of the reaction.

After completion, the reaction mixture was allowed to attain room temperature and was then transferred slowly into ice-cold distilled water with constant stirring. A colored solid precipitate separated out gradually, indicating formation of the Schiff base derivative. The obtained precipitate was collected by vacuum filtration and washed thoroughly with distilled water to remove traces of catalyst and any unreacted reactants. The crude products were dried under reduced pressure and subsequently purified by recrystallization using ethanol as the solvent. Pure crystalline derivatives of N-(substitutedbenzo[d]thiazol-2yl)-3phenylprop-2-en-1imine (3a–f) were obtained after recrystallization and preserved in airtight containers for further characterization and biological evaluation.

Purity Determination of Synthesized Compounds

Purity of synthesizd compounds was determine by perfoerming Thin Layer Chromatography and recrystallization technique.

Characterization of Synthesized Compounds

The synthesized benzothiazole derivatives were characterized using various physicochemical and spectral analytical techniques to confirm their identity, purity, and structural features. The characterization studies included melting point determination, FT-IR, 1H-NMRspectroscopy, mass spectral analysis, and elemental analysis. These analytical techniques provided detailed information regarding the structural framework, functional groups, molecular weight, and composition of the synthesized compounds.

Evaluation of Antioxidant Activity by DPPH Free Radical Scavenging Assay

The antioxidant potential of the selected synthesized benzothiazole derivatives was assessed by employing the DPPH free radical scavenging method. This assay is widely recognized for its simplicity, sensitivity, and reliability in determining the ability of compounds to donate hydrogen atoms or electrons for neutralization of free radicals. The method is based on reduction of the stable DPPH radical, which undergoes a visible color change upon interaction with antioxidant molecules.

DPPH is a stable nitrogen-centered free radical that exhibits a deep violet coloration in methanolic solution due to its strong absorption around 517 nm. When an antioxidant compound reacts with DPPH, the radical accepts a hydrogen atom or electron from the test compound and becomes reduced to a non-radical form. This reduction is accompanied by fading of the violet color to pale yellow, which can be quantitatively measured spectrophotometrically. The degree of discoloration reflects the radical scavenging efficiency of the tested compounds.

RESULTS & DISCUSSION

Molecular Docking Analysis of Synthesized Benzothiazole Derivatives Against EGFR Kinase Domain (PDB ID: 2J6M)

The synthesized derivatives (3a–3f) were subjected to molecular docking analysis against the EGFR kinase domain using the crystal structure of EGFR tyrosine kinase (PDB ID: 2J6M). The docking study was performed to evaluate the binding affinity and molecular interactions of the synthesized compounds within the active binding pocket of the receptor. The obtained docking scores were compared with the standard drug Tamoxifen.

The docking results revealed that all synthesized derivatives exhibited appreciable binding affinity toward the EGFR kinase domain, with binding energies ranging from −7.5 to −7.8 kcal/mol, which were comparable to or better than the standard drug tamoxifen (−7.4 kcal/mol). Among all tested compounds, derivative 3d demonstrated the highest binding affinity with a docking score of −7.8 kcal/mol, indicating strong interaction and favorable accommodation within the receptor active site.

 

Table: 2D Interaction and Binding Affinity of Benzothiazole Derivatives Against EGFR Kinase Domain (PDB ID: 2J6M)

Comp

Binding Affinity (kcal/mol)

H-Bond Interactions

π–π / Hydrophobic Interactions

2D Interaction

3a

-7.6

Leu788

Val726, Ala743, Leu844, Leu718

 

 

3b

-7.5

-

Leu718, Thr790, Ala743, Leu788, Leu844, Val726, Lys745

 

 

3c

-7.7

-

Leu718, Thr790, Ala743, Leu788, Leu844, Val726, Lys745

 

 

3d

-7.8

-

Leu718, Thr790, Leu788, Ala743, Leu844, Val726, Lys745

 

 

3e

-7.6

Pro794

leu718, Thr790, Leu788, Ala743, Leu844, Val726, Lys745

 

 

3f

-7.6

-

Leu718, Thr790, Val726, Leu788, Lys745, Ala743, Leu844

 

 

Std (Temoxifen)

-7.4

-

Leu844, Leu718, Ala743, Val726

 

 

 

 

The molecular interaction analysis showed that hydrophobic interactions played a significant role in stabilizing the ligand–receptor complexes. The amino acid residues Leu718, Thr790, Ala743 Leu788, Leu844Val726, and Lys745 were commonly involved in ligand binding for most of the synthesized derivatives. These residues are considered important components of the ATP-binding pocket of EGFR kinase and contribute substantially to ligand stabilization through hydrophobic and van der Waals interactions.

 

Table: Binding Affinity of Synthesized compounds (3a-e) with target EGFR Kinase Domain (PDB ID: 2J6M)

Compound Code

Substitution

Binding Affinity (kcal/mol)

3a

3-NO₂

−7.6

3b

4-OCH₃

−7.5

3c

4-Cl

−7.7

3d

4-CH₃

−7.8

3e

4-OH

−7.6

3f

3,4-Cl

−7.6

Std. (Tamoxifen)

−7.4

 

Compound 3a showed a binding affinity of −7.6 kcal/mol and formed a hydrogen bond with Leu788 along with hydrophobic interactions involving Val726, Ala743, Leu844, and Leu718. Compounds 3b and 3c exhibited docking scores of −7.5 and −7.7 kcal/mol, respectively, with major hydrophobic interactions involving Leu718, Thr790, Ala743, Leu788, Leu844, Val726, and Lys745. Among all derivatives, compound 3d demonstrated the highest binding affinity (−7.8 kcal/mol) due to extensive hydrophobic interactions with key active-site residues. Compound 3e showed a docking score of −7.6 kcal/mol and formed a hydrogen bond with Pro794 along with several hydrophobic contacts. Similarly, compound 3f exhibited a binding affinity of −7.6 kcal/mol with interaction patterns comparable to the standard drug. The standard Tamoxifen showed a docking score of −7.4 kcal/mol with mainly hydrophobic interactions. Overall, several synthesized derivatives displayed better binding affinity than tamoxifen, indicating promising EGFR inhibitory potential.

The docking study suggested that the synthesized derivatives possess favorable interaction profiles within the EGFR kinase active site. The higher binding affinities and extensive hydrophobic interactions observed for compounds particularly 3c and 3d indicate their potential for further biological evaluation as prospective EGFR-targeted anticancer agents.

Molecular Docking Analysis of Synthesized Benzothiazole Derivatives Against Human Estrogen Receptor α (PDB ID: 3ERT)

The synthesized benzothiazole derivatives (3a–3f) were evaluated for their binding affinity and interaction pattern against the Human Estrogen Receptor Alpha ligand-binding domain using the crystal structure of Human Estrogen Receptor Alpha. The docking results were compared with the standard drug Tamoxifen to assess their potential as estrogen receptor-targeted anticancer agents.

 

 

 

Table: 2D Interaction and Binding Affinity of Benzothiazole Derivatives Against Human Estrogen Receptor Alpha Ligand (PDB ID: 3ERT)

Comp

Binding Affinity (kcal/mol)

H-Bond Interactions

π–π / Hydrophobic Interactions

2D Interaction

3a

-8.5

-

Leu354, Trp383, Leu536, Ala350, Leu525, Leu346

 

 

3b

-7.3

Thr347

Leu525, Lys529, Ala350, Leu391, Leu346, Leu387

 

 

3c

-7.4

Thr347

Leu525, Leu387, Leu346, Leu391, Ala350,      Met 343

 

 

3d

-7.6

-

Leu346, Ala350, Leu378, Leu391, Leu525, Met528

 

 

3e

-7.7

Phe404

Leu391, Leu346, Leu387, Leu525, Leu384, Trp383, Ala350

 

 

3f

-7.6

-

Trp383, Ala350, Leu525, Met388, Phe404,  Met421, Leu346

 

 

Std (Temoxifen)

-8.6

-

Ala350, Leu387, Leu346, Leu525, Met388, Met421

 

 

 

The molecular docking study against Human Estrogen Receptor Alpha revealed that all synthesized benzothiazole scaffolds shows favorable binding interactions within the active site of the receptor, with docking scores −7.3 to −8.5 kcal/mol. Among the tested compounds, derivative 3a showed the highest binding affinity (−8.5 kcal/mol), which was comparable to the standard drug Tamoxifen (−8.6 kcal/mol), indicating strong ligand–receptor interaction. Hydrophobic interactions played a major role in stabilization of the ligand–protein complexes, involving key amino acid residues such as Leu346, Ala350, Leu387, Leu391, Leu525, Trp383, Met388, and Phe404. Compound 3a interacted hydrophobically with Leu354, Trp383, Leu536, Ala350, Leu525, and Leu346. Compounds 3b and 3c formed hydrogen bonds with Thr347 along with multiple hydrophobic interactions, while compound 3e formed a hydrogen bond with Phe404 and showed extensive hydrophobic contacts. Compounds 3d and 3f mainly exhibited hydrophobic interactions with important active-site residues. The standard drug tamoxifen interacted predominantly through hydrophobic contacts involving Ala350, Leu387, Leu346, Leu525, Met388, and Met421.

 

 

Table: Binding Affinity of Synthesized compounds (3a-e) with target Human Estrogen Receptor Alpha Ligand (PDB ID: 3ERT)

Compound Code

Substitution

Binding Affinity (kcal/mol)

3a

3-NO₂

−8.5

3b

4-OCH₃

−7.3

3c

4-Cl

−7.4

3d

4-CH₃

−7.6

3e

4-OH

−7.7

3f

3,4-Cl

−7.6

Std. (Tamoxifen)

−8.6

 

The docking study indicated that the synthesized benzothiazole derivatives possess favorable binding characteristics against Human Estrogen Receptor Alpha. In particular, compound 3a exhibited excellent binding affinity and interaction profile, indicating its potential for further investigation as a prospective anticancer agent targeting estrogen receptor-positive breast cancer.

Synthesis Result

Benzothiazol-2amine Derivatives (2a–f)

 

 

Table: Physiochemical Properties of Synthesized derivatives (2a-f)

Com C

R′ (Substituent)

Mol. Wght

Molecular For.

% Yield (w/w)

Color

Rf

m.p. (°C)

2a

3-NO2

195.20

C7H5N3O2S

68%

Dark yellow

0.61

235-237

2b

4-OCH3

180.23

C8H8N2OS

59%

Yellow

0.72

210-212

2c

4-Cl

174.64

C7H5ClN2S

62%

Light Yellow

0.58

232-234

2d

4-CH3

164.23

C8H8N2S

74%

Pale Brown

0.51

195-197

2e

4-OH

166.20

C7H6N2OS

71%

Yellow

0.54

229-231

2f

3,4-Cl

219.08

C7H4Cl2N2S

63%

Light Brown

0.63

240-242

 

 

 

 

 

 

 

Synthesis of N-(Substitutedbenzo[d]thiazol-2yl)-3-phenylprop-2-en-1imine Derivatives (3a–f)

 

 

5nitro-2((1E,3E)-4phenylbuta-1,3-dien-1yl)benzothiazole (3a)

 

 

 

 

 

 

Mol. Form.

C17H12N2O2S

Mol.  weight

308.36

% yield (w/w)

74

Color

Dark Brown

Melting point (°C)

326-328

Solubility

Soluble

DMSO, chloroform, Acetone

Partially soluble

Methanol, ethanol

Insoluble

water

Rf value

0.51

 

TLC Solvent: Chloroform: Methanol (9:1 v/v)

IR (KBr, cm⁻¹):

 

 

 

S. No.

Functional Group

Reference IR Range (cm⁻¹)

Observed (cm⁻¹)

1

Aromatic C=C

1450–1600

1627.27

2

Aromatic C–H

3000–3100

2929.46

3

Benzothiazole Ring (C=N)

1600–1690

1627.27

4

Benzothiazole Ring (C–S)

600–750

611.06

5

Aliphatic C=C

1620–1680

1627.27

6

Nitro Group (C–NO₂)

1340–1550

1393.07

 

¹H NMR (δ, ppm):

 

 

 

 

S. No.

Proton Type

Shift δ (ppm)

No of H

1

Ali C–H

6.658–7.029

m, 4H, Aliphatic Hydrogen

2

Ar–H

7.081–7.668

m, 8H, Aromatic Hydrogen

 

Mass Spectra:

 

 

 

S. No.

Peak

m/z Value

Assignment

1

Molecular Ion Peak

308.31

[M⁺]

2

Isotopic Molecular Ion Peak

309.29

[M+1]⁺

 

6methoxy-2-((1E,3E)-4phenylbuta-1,3dien-1-yl)benzothiazole (3b)

 

 

 

 

 

 

 

 

 

 

 

Mol. Form.

C18H15NOS

Mol.  weight

293.38

% yield (w/w)

67

Color

Dark Brown

Melting point (°C)

344-346

Solubility

Soluble

DMSO, chloroform, Acetone

Partially soluble

Methanol, ethanol

Insoluble

water

Rf value

0.56

 

IR (KBr, cm⁻¹):

 

 

 

 

S. No.

Functional Group

Reference IR Range (cm⁻¹)

Observed (cm⁻¹)

1

Aromatic C=C

1450–1600

1575.53

2

Aromatic C–H

3000–3100

2915.40

3

Benzothiazole Ring (C=N)

1600–1690

1651.23

4

Benzothiazole Ring (C–S)

600–750

604.36

5

Aliphatic C=C

1620–1680

1651.23

6

C–OH

3200–3600

3402.36

 

¹H NMR (δ, ppm):

 

 

 

 

S. No.

Proton Type

Shift δ (ppm)

No of H

1

O–CH₃

3.826

s, 3H, Methoxy Proton (C–OCH₃)

2

Ali C–H

6.380–6.665

m, 4H, Aliphatic Hydrogen

3

Ar–C–H

7.490–8.240

m, 8H, Aromatic Hydrogen

 

 

            S. No.

Peak

m/z Value

Assignment

1

Molecular Ion Peak

293.7

[M⁺]

2

Isotopic Molecular Ion

294.3

[M+1]⁺

 

6-chloro-2-((1E3E)-4phenylbuta-1,3dien-1yl)benzothiazole (3c)

 

 

 

 

Mol. Form.

C17H12ClNS

Mol.  weight

297.80

% yield (w/w)

64

Color

Dark Yellow

Melting point (°C)

224-226

Solubility

Soluble

DMSO, chloroform, Acetone

Partially soluble

Methanol, ethanol

Insoluble

water

Rf value

0.54

 

IR (KBr, cm⁻¹):

 

 

 

 

S. No.

Functional Group

Reference IR Range (cm⁻¹)

Observed (cm⁻¹)

1

Aromatic C=C

1450–1600

1524.03

2

Aromatic C–H

3000–3100

2916.65

3

Benzothiazole Ring (C=N)

1600–1690

1615.88

4

Benzothiazole Ring (C–S)

600–750

736.00

5

Aliphatic C=C

1620–1680

1615.88

6

C–Cl

600–800

772.15

 

¹H NMR (δ, ppm):

 

 

 

 

 

S. No.

Proton Type

Shift δ (ppm)

No. of H

1

Ali C–H

6.775–7.217

m

4H

Aliphatic Hydrogen

2

Ar–H

7.321–7.821

m

8H

Aromatic Hydrogen

 

S. No.

Peak

m/z Value

Assignment

1

Molecular Ion Peak

297.3

[M⁺]

2

Isotopic Molecular Ion Peak

299.2

[M+2]⁺

 

6-methyl-2-((1E3E)-4phenylbuta-1,3-dien-1yl)benzothiazole (4d)

 

 

Mol. Form.

C18H15NS

Mol.  weight

277.39

% yield (w/w)

76

Color

Yellow

Melting point (°C)

304-306

Solubility

Soluble

DMSO, chloroform, Acetone

Partially soluble

Methanol, ethanol

Insoluble

water

Rf value

0.61

 

IR (KBr, cm⁻¹):

 

 

 

 

S. No.

Functional Group

Reference Range (cm⁻¹)

Observed (cm⁻¹)

1

Aromatic C=C

1450–1600

1544.40

2

Aromatic C–H

3000–3100

3012.27

3

Benzothiazole Ring (C=N)

1600–1690

1609.85

4

Benzothiazole Ring (C–S)

600–750

667.97

5

Aliphatic C=C

1620–1680

1609.85

6

Aliphatic C–H

2850–2960

2929.83

 

¹H NMR (δ, ppm):

 

 

 

 

S. No.

Proton Type

Shift δ (ppm)

Number of Protons

1

Ali C–H

3.379

m

3H

Aliphatic Hydrogen

2

Ali C–H (HC=C)

6.975–7.565

m

4H

Olefinic/Aliphatic Hydrogen

3

Ar–H

7.657–8.661

m

8H

Aromatic Hydrog

 

2-((1E,3E)-4phenylbuta-1,3-dien-1-yl)benzothiazol-6ol (4e)

 

 

 

Mol. Form.

C17H13NOS

Mol.  weight

279.36

% yield (w/w)

62

Color

Yellow

Melting point (°C)

235-237

Solubility

Soluble

DMSO, chloroform, Acetone

Partially soluble

Methanol, ethanol

Insoluble

water

Rf value

0.68

 

 

 

 

S. No.

Functional Group

Reference IR Range (cm⁻¹)

Observed (cm⁻¹)

1

Aromatic C=C

1450–1600

1566.60

2

Aromatic C–H

3000–3100

2915.34

3

Benzothiazole Ring (C=N)

1600–1690

1689.80

4

Benzothiazole Ring (C–S)

600–750

744.91

5

Aliphatic C=C

1620–1680

1689.80

6

C–OH

3200–3600

3402.24

 

 

¹H NMR (δ, ppm):

 

 

 

 

 

S. No.

Proton Type

Shift δ (ppm)

Number of Protons

1

Ali C–H

6.897–7.153

m

4H

Aliphatic Hydrogen

2

Ar C–H

7.159–7.709

m

8H

Aromatic Hydrogen

3

Ar O–H

9.980

s

1H

Hydroxyl Proton

 

 

 

 

S. No.

Peak

m/z Value

Assignment

1

Molecular Ion Peak

279.9

[M⁺]

2

Isotopic Molecular Ion Peak

280.30

[M+1]⁺

 

5,6-dichloro-2((1E3E)-4phenylbuta-1,3-dien-1yl)benzothiazole (3f)

 

 

 

 

 

Mol. Form.

C18H15NOS

Mol.  weight

332.08

% yield (w/w)

67

Color

Dark Brown

Melting point (°C)

344-346

Solubility

Soluble

DMSO, chloroform, Acetone

Partially soluble

Methanol, ethanol

Insoluble

water

Rf value

0.72

 

IR (KBr, cm⁻¹):

 

 

 

 

No.

Functional Group

Reference IR Range (cm⁻¹)

Observed (cm⁻¹)

1

Aromatic C=C

1450–1600

1490.65

2

Aromatic C–H

3000–3100

2921.01

3

Benzothiazole Ring (C=N)

1600–1690

1600.13

4

Benzothiazole Ring (C–S)

600–750

683.45

5

Aliphatic C=C

1620–1680

1717.73

6

C–Cl

600–800

729.86

 

Mass Spectra:

 

S. No.

Peak

m/z Value

Assignment

1

Molecular Ion Peak

332.44

[M⁺]

2

Isotopic Molecular Ion Peak

333.58

[M+1]⁺

 

Antioxidant Activity by DPPH Assay

The DPPH free radical scavenging assay was used to assess the antioxidant activity of the synthesized benzothiazole scaffolds (3a–3f), and the results were compared with those of the conventional antioxidant Ascorbic Acid. The assay was carried out at various doses between 20 and 100 µg/mL, and the % inhibition of DPPH radicals was measured using UV at 517 nm. All synthesized compounds demonstrated concentration-dependent free radical scavenging activity. An increase in percentage inhibition was observed with increasing concentration of the test compounds, indicating effective antioxidant potential of the synthesized benzothiazole derivatives. The reduction in absorbance of the DPPH solution from deep violet to pale yellow confirmed the hydrogen-donating and radical-neutralizing ability of the compounds.

 

Table:  Absorption of Synthesized compounds (3a-f)

Conc. (µg/mL)

Absorption

Control Absorbance (Ac)

3a (As)

3b (As)

3c (As)

3d (As)

3e (As)

3f (As)

Std. Ascorbic Acid (As)

20

0.850

0.575

0.641

0.665

0.616

0.521

0.647

0.438

40

0.850

0.469

0.541

0.569

0.515

0.401

0.547

0.309

60

0.850

0.366

0.436

0.488

0.415

0.281

0.452

0.188

80

0.850

0.276

0.359

0.394

0.322

0.175

0.377

0.088

100

0.850

0.211

0.290

0.328

0.252

0.100

0.309

0.027

 

Among the synthesized benzothiazole derivatives, compound 3e exhibited the highest antioxidant activity, showing 38.7–88.2% inhibition over the concentration range of 20–100 µg/mL, which may be attributed to the presence of the hydroxyl substituent that enhances hydrogen donation and free radical stabilization. Compound 3a also demonstrated considerable antioxidant potential with 75.2% inhibition at 100 µg/mL, possibly due to the nitro substituent and conjugated benzothiazole Schiff base system. Compound 3d showed moderate activity, while compounds 3b and 3f exhibited intermediate free radical scavenging effects. In contrast, compound 3c displayed comparatively lower antioxidant activity (61.4% inhibition at 100 µg/mL), which may be associated with the electron-withdrawing nature of the chloro substituent. The standard antioxidant Ascorbic Acid showed the highest activity with 96.8% inhibition at 100 µg/mL. Overall, the synthesized derivatives demonstrated appreciable antioxidant potential, with activity significantly influenced by the nature of substituents attached to the benzothiazole nucleus.

The results suggested that antioxidant activity of the synthesized compounds was significantly influenced by the nature and position of substituents attached to the benzothiazole nucleus. Electron-donating groups such as hydroxyl substituents enhanced the antioxidant potential, whereas electron-withdrawing groups exhibited comparatively lower activity. The presence of conjugated aromatic systems and Schiff base linkage may also contribute toward stabilization of free radicals through electron delocalization mechanisms.

 

Table: Percentage Inhibition of Synthesized compounds (3a-f)

Concentration (µg/mL)

(% Inhibition ± SD)

3a

3b

3c

3d

3e

3f

Std. Ascorbic Acid

20

32.4 ± 0.8

24.6 ± 0.6

21.8 ± 0.5

27.5 ± 0.7

38.7 ± 0.9

23.9 ± 0.6

48.5 ± 1.1

40

44.8 ± 1.0

36.3 ± 0.8

33.1 ± 0.7

39.4 ± 0.9

52.8 ± 1.2

35.7 ± 0.8

63.7 ± 1.4

60

56.9 ± 1.2

48.7 ± 1.1

42.6 ± 0.9

51.2 ± 1.1

66.9 ± 1.5

46.8 ± 1.0

77.9 ± 1.7

80

67.5 ± 1.4

57.8 ± 1.3

53.7 ± 1.1

62.1 ± 1.3

79.4 ± 1.8

55.6 ± 1.2

89.6 ± 1.9

100

75.2 ± 1.6

65.9 ± 1.4

61.4 ± 1.3

70.3 ± 1.5

88.2 ± 2.0

63.7 ± 1.4

96.8 ± 2.1

 

Based on the obtained results, compound 3e emerged as the most potent antioxidant derivative among the synthesized compounds and may serve as a promising candidate for further pharmacological and biological investigations.

CONCLUSION

The findings of the present investigation suggest that benzothiazole-based Schiff base derivatives possess considerable potential as multifunctional molecules exhibiting both anticancer and antioxidant properties. The combination of favorable molecular docking interactions and appreciable antioxidant activity highlights the importance of benzothiazole scaffolds in medicinal chemistry and supports further pharmacological and biological exploration of these derivatives for development of safer and more effective therapeutic agents against breast cancer and oxidative stress–related disorders.

REFERENCES

  1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide. CA Cancer J Clin. 2018;68(6):394–424.
  2. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide. CA Cancer J Clin. 2021;71(3):209–249.
  3. Wild CP, Weiderpass E, Stewart BW. World Cancer Report: Cancer Research for Cancer Prevention. Int Agency Res Cancer. 2020;1–613.
  4. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J Clin. 2022;72(1):7–33.
  5. Ferlay J, Colombet M, Soerjomataram I, Parkin DM, Piñeros M, Znaor A, Bray F. Cancer statistics for the year 2020: An overview. Int J Cancer. 2021;149(4):778–789.
  6. DeSantis CE, Ma J, Gaudet MM, Newman LA, Miller KD, Sauer AG, Jemal A. Breast cancer statistics, 2019. CA Cancer J Clin. 2019;69(6):438–451.
  7. Harbeck N, Penault-Llorca F, Cortes J, Gnant M, Houssami N, Poortmans P, Ruddy K, Tsang J, Cardoso F. Breast cancer. Nat Rev Dis Primers. 2019;5(1):66.
  8. Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, et al. Molecular portraits of human breast tumours. Nature. 2000;406(6797):747–752.
  9. Polyak K. Heterogeneity in breast cancer. J Clin Invest. 2011;121(10):3786–3788.
  10. Waks AG, Winer EP. Breast cancer treatment: A review. JAMA. 2019;321(3):288–300.
  11. Cardoso F, Paluch-Shimon S, Senkus E, Curigliano G, Aapro MS, André F, Barrios CH, Bergh J, Bhattacharyya GS, Biganzoli L, et al. 5th ESO–ESMO international consensus guidelines for advanced breast cancer. Ann Oncol. 2020;31(12):1623–1649.
  12. Foulkes WD, Smith IE, Reis-Filho JS. Triple-negative breast cancer. N Engl J Med. 2010;363(20):1938–1948.
  13. Prat A, Pineda E, Adamo B, Galván P, Fernández A, Gaba L, Díez M, Viladot M, Arance A, Muñoz M. Clinical implications of the intrinsic molecular subtypes of breast cancer. Breast. 2015;24:S26–S35.
  14. Loibl S, Poortmans P, Morrow M, Denkert C, Curigliano G. Breast cancer. Lancet. 2021;397(10286):1750–1769.
  15. Klaunig JE, Kamendulis LM. The role of oxidative stress in carcinogenesis. Annu Rev PharmacolToxicol. 2004;44:239–267.
  16. Reuter S, Gupta SC, Chaturvedi MM, Aggarwal BB. Oxidative stress, inflammation, and cancer: How are they linked? Free Radic Biol Med. 2010;49(11):1603–1616.
  17. Trachootham D, Alexandre J, Huang P. Targeting cancer cells by ROS-mediated mechanisms. Nat Rev Drug Discov. 2009;8(7):579–591.
  18. Valko M, Rhodes CJ, Moncol J, Izakovic M, Mazur M. Free radicals, metals and antioxidants in oxidative stress-induced cancer. Chem Biol Interact. 2006;160(1):1–40.
  19. Gorrini C, Harris IS, Mak TW. Modulation of oxidative stress as an anticancer strategy. Nat Rev Drug Discov. 2013;12(12):931–947.
  20. Nowsheen S, Yang ES. The intersection between DNA damage response and cell death pathways in cancer therapy. Cancer Biol Ther. 2012;13(6):417–429.
  21. Hanahan D, Weinberg RA. Hallmarks of cancer: The next generation. Cell. 2011;144(5):646–674.
  22. Osborne CK, Schiff R. Mechanisms of endocrine resistance in breast cancer. Annu Rev Med. 2011;62:233–247.
  23. Baselga J, Swain SM. Novel anticancer targets: Revisiting ERBB2 and discovering ERBB3. Nat Rev Cancer. 2009;9(7):463–475.
  24. Luo J, Solimini NL, Elledge SJ. Principles of cancer therapy: Oncogene and non-oncogene addiction. Cell. 2009;136(5):823–837.
  25. Deng CX. BRCA1: Cell cycle checkpoint, genetic instability, DNA damage response, and cancer evolution. Nucleic Acids Res. 2006;34(5):1416–1426.
  26. Fisher B, Costantino JP, Wickerham DL, Redmond CK, Kavanah M, Cronin WM, Vogel V, Robidoux A, Dimitrov N, Atkins J, et al. Tamoxifen for prevention of breast cancer. J Natl Cancer Inst. 1998;90(18):1371–1388.
  27. Musgrove EA, Caldon CE, Barraclough J, Stone A, Sutherland RL. Cyclin D as a therapeutic target in cancer. Nat Rev Cancer. 2011;11(8):558–572.
  28. Turner NC, Neven P, Loibl S, Andre F. Advances in the treatment of advanced oestrogen-receptor-positive breast cancer. Lancet. 2017;389(10087):2403–2414.
  29. O’Shaughnessy J. Extending survival with chemotherapy in metastatic breast cancer. Oncologist. 2005;10(Suppl 3):20–29.
  30. Gewirtz DA. A critical evaluation of the mechanisms of action proposed for the antitumor effects of anthracyclines. BiochemPharmacol. 1999;57(7):727–7

Reference

  1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide. CA Cancer J Clin. 2018;68(6):394–424.
  2. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide. CA Cancer J Clin. 2021;71(3):209–249.
  3. Wild CP, Weiderpass E, Stewart BW. World Cancer Report: Cancer Research for Cancer Prevention. Int Agency Res Cancer. 2020;1–613.
  4. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J Clin. 2022;72(1):7–33.
  5. Ferlay J, Colombet M, Soerjomataram I, Parkin DM, Piñeros M, Znaor A, Bray F. Cancer statistics for the year 2020: An overview. Int J Cancer. 2021;149(4):778–789.
  6. DeSantis CE, Ma J, Gaudet MM, Newman LA, Miller KD, Sauer AG, Jemal A. Breast cancer statistics, 2019. CA Cancer J Clin. 2019;69(6):438–451.
  7. Harbeck N, Penault-Llorca F, Cortes J, Gnant M, Houssami N, Poortmans P, Ruddy K, Tsang J, Cardoso F. Breast cancer. Nat Rev Dis Primers. 2019;5(1):66.
  8. Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, et al. Molecular portraits of human breast tumours. Nature. 2000;406(6797):747–752.
  9. Polyak K. Heterogeneity in breast cancer. J Clin Invest. 2011;121(10):3786–3788.
  10. Waks AG, Winer EP. Breast cancer treatment: A review. JAMA. 2019;321(3):288–300.
  11. Cardoso F, Paluch-Shimon S, Senkus E, Curigliano G, Aapro MS, André F, Barrios CH, Bergh J, Bhattacharyya GS, Biganzoli L, et al. 5th ESO–ESMO international consensus guidelines for advanced breast cancer. Ann Oncol. 2020;31(12):1623–1649.
  12. Foulkes WD, Smith IE, Reis-Filho JS. Triple-negative breast cancer. N Engl J Med. 2010;363(20):1938–1948.
  13. Prat A, Pineda E, Adamo B, Galván P, Fernández A, Gaba L, Díez M, Viladot M, Arance A, Muñoz M. Clinical implications of the intrinsic molecular subtypes of breast cancer. Breast. 2015;24:S26–S35.
  14. Loibl S, Poortmans P, Morrow M, Denkert C, Curigliano G. Breast cancer. Lancet. 2021;397(10286):1750–1769.
  15. Klaunig JE, Kamendulis LM. The role of oxidative stress in carcinogenesis. Annu Rev PharmacolToxicol. 2004;44:239–267.
  16. Reuter S, Gupta SC, Chaturvedi MM, Aggarwal BB. Oxidative stress, inflammation, and cancer: How are they linked? Free Radic Biol Med. 2010;49(11):1603–1616.
  17. Trachootham D, Alexandre J, Huang P. Targeting cancer cells by ROS-mediated mechanisms. Nat Rev Drug Discov. 2009;8(7):579–591.
  18. Valko M, Rhodes CJ, Moncol J, Izakovic M, Mazur M. Free radicals, metals and antioxidants in oxidative stress-induced cancer. Chem Biol Interact. 2006;160(1):1–40.
  19. Gorrini C, Harris IS, Mak TW. Modulation of oxidative stress as an anticancer strategy. Nat Rev Drug Discov. 2013;12(12):931–947.
  20. Nowsheen S, Yang ES. The intersection between DNA damage response and cell death pathways in cancer therapy. Cancer Biol Ther. 2012;13(6):417–429.
  21. Hanahan D, Weinberg RA. Hallmarks of cancer: The next generation. Cell. 2011;144(5):646–674.
  22. Osborne CK, Schiff R. Mechanisms of endocrine resistance in breast cancer. Annu Rev Med. 2011;62:233–247.
  23. Baselga J, Swain SM. Novel anticancer targets: Revisiting ERBB2 and discovering ERBB3. Nat Rev Cancer. 2009;9(7):463–475.
  24. Luo J, Solimini NL, Elledge SJ. Principles of cancer therapy: Oncogene and non-oncogene addiction. Cell. 2009;136(5):823–837.
  25. Deng CX. BRCA1: Cell cycle checkpoint, genetic instability, DNA damage response, and cancer evolution. Nucleic Acids Res. 2006;34(5):1416–1426.
  26. Fisher B, Costantino JP, Wickerham DL, Redmond CK, Kavanah M, Cronin WM, Vogel V, Robidoux A, Dimitrov N, Atkins J, et al. Tamoxifen for prevention of breast cancer. J Natl Cancer Inst. 1998;90(18):1371–1388.
  27. Musgrove EA, Caldon CE, Barraclough J, Stone A, Sutherland RL. Cyclin D as a therapeutic target in cancer. Nat Rev Cancer. 2011;11(8):558–572.
  28. Turner NC, Neven P, Loibl S, Andre F. Advances in the treatment of advanced oestrogen-receptor-positive breast cancer. Lancet. 2017;389(10087):2403–2414.
  29. O’Shaughnessy J. Extending survival with chemotherapy in metastatic breast cancer. Oncologist. 2005;10(Suppl 3):20–29.
  30. Gewirtz DA. A critical evaluation of the mechanisms of action proposed for the antitumor effects of anthracyclines. BiochemPharmacol. 1999;57(7):727–7

Photo
Anjali Gupta
Corresponding author

Department of Pharmaceutical Chemistry, Sagar Institute of Technology & Management, Department of Pharmacy, Barabanki, Uttar Pradesh

Photo
Sarita
Co-author

Department of Pharmaceutical Chemistry, Sagar Institute of Technology & Management, Department of Pharmacy, Barabanki, Uttar Pradesh

Photo
Ankit Kumar Verma
Co-author

Department of Pharmaceutical Chemistry, Sagar Institute of Technology & Management, Department of Pharmacy, Barabanki, Uttar Pradesh

Anjali Gupta, Sarita, Ankit Kumar, Synthesis, Characterization, In-Silico Anticancer Evaluation & In-Vivo Antioxidant Evaluation of Novel Benzothiazole Derivatives, Int. J. of Pharm. Sci., 2026, Vol 4, Issue 6, 6381-6408, https://doi.org/10.5281/zenodo.20845001

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