View Article

Abstract

The first principle calculations of supramolecular host-guest interaction between drug molecules (Mavacamten and Olutasidenib) and ?-Cyclodextrin (?-CD) have been performed. The strong binding energies of 1:1 complexes, Mavacamten-?-CD and Olutasidenib-?-CD are -11.89 eV and –9.78 eV respectively indicating the formation of a stable complex in aqueous medium. Analyses of the HOMO-LUMO energy, global reactivity parameter, ESP, NCI plots also revealed formation of a stable complex between the drug and ?-CD. The stability of the complexes has also been established by ADMP calculations. Both the complexes show sufficient intermolecular forces of attractions supported by NCI analysis and RDG plots. These results showed that hydrogen bonding and van der Waals interactions stabilize the inclusion complexes. We hope this study helps to develop a useful approach to minimize the side effects of organic drug.

Keywords

Inclusion complex, HOMO-LUMO energy, global reactivity parameters, electrostatic potential map, non-covalent interactions, H-bonding

Introduction

The emergence of targeted drug delivery is to deliver most of the administered drug to the target, while eliminating or minimizing the accumulation of the drug at any non-target sites and with minimum side effects associated with the use of free drugs[1]. Nanocarriers offer several advantages over traditional drug therapies as it is easier to customize their size, charge, surface properties and targeting moieties to regulate their uptake, biodistribution, targeting and elimination[2,3]. Due to their tiny size, giant surface area and feasible targetability, nanocarriers have optimized efficacy, decreased side effects, enhanced drug bioavailability and improved stability[4,5]. Drugs can either be dispersed into the nanocarrier matrix or located within the nanocarrier layers[6].  There are different types of nanocarriers that have been synthesized for drug delivery including dendrimers, liposomes, solid lipid nanoparticles, polymersomes, polymer–drug conjugates, polymeric nanoparticles, peptide nanoparticles, micelles, nanoemulsions, nanospheres, nanocapsules, nanoshells, carbon nanotubes, silicon nanotubes and gold nanoparticles[7,8] [9].  Some widely recognized host moieties in this area include Crown ether, porphyrin[10] calixarenes [11], pillararenes, cyclodextrins [12-15], cucurbituril [16,17]and rotaxane. Cyclodextrins are cyclic oligosaccharides linked by α-1,4 bonds and derived from starch that has been broken down by glucosyltransferase[18,19] . The natural cyclodextrins α-, β-, and γ-CDs are composed of 6, 7, or 8 glucose units and their synthetic derivatives are divided into three groups: hydrophilic, such as 2-hydroxypropyl-β-CD (HP-β-CD); hydrophobic, such as 2,6-di-O-ethyl- β-CD; and ionizable, such as sulfobutylether β-CD (SBE-β-CD). The CDs have a truncated cone-resembled shape with a hollow cavity. The sizes of the primary and secondary sides of the CDs depend on the unit number of glucose. The depth of the hollow cavity is 0.78 nm for all three types of CDs. The hydroxyl groups of the glucose units are oriented toward the outside at the orifice of the two ends, while methinic protons are located inside the cavity, the structure of which enables CDs with hydrophilic external surface and hydrophobic hollow cavity[20]. Thus, a variety of guests can be encapsulated into the cavity via the host–guest interaction in aqueous conditions and even in the solid state, which include small molecules, cationic or anionic guests, proteins, and polymer chains. The free hydroxyls on the outside of the CDs impart a more hydrophilic character, whereas the oxygen atoms in the glycosidic bonds and the hydrogen atoms impart a hydrophobic character within the cavity, which allows the dissolution in aqueous medium of compounds with low solubility. Different drugs used in cancer[21], COVID[22-26], cardiac recovery[27] have huge side effects. Mavacamten is the first and only cardiac myosin inhibitor used for the treatment of adults with obstructive hypertrophic cardiomyopathy (HCM) to improve functional capacity and symptoms[28]. Mavacamten sometimes cause harmful effects in people. Mavacamten reduces left ventricular ejection fraction (LVEF) and can cause heart failure due to systolic dysfunction. Some other mild side effects have been reported with Mavacamten. These include dizziness, fainting, mild allergic reaction, liver problems, and kidney problems[29].  

Mavacamten is also acknowledged as an endocrine disrupting compound (EDC)[30]. Research has shown that Mavacamten exposure negatively impacts the functions of the brain, thyroid, ovaries, and reproductive organs, resulting in cardiovascular diseases, obesity, carcinogenic effects, neurotoxicity, and issues with child growth[31]. Consequently, regulatory agencies in numerous countries have confirmed that mavacamten is a toxic substance. Thus, to predict mavacamten's exposure and potential health effects, it must be monitored frequently in drinking water. Olutasidenib serves as a beta-blocker medication. It is indicated for treating hypertension, hyperthyroidism, migraine[32,33] and certain cases of cardiac arrhythmia. Olutasidenib devastates steroid hormone levels, and causes different health related problems in humans[32]. Olutasidenib is an isocitrate dehydrogenase-1 (IDH1) inhibitor indicated for the treatment of patients with relapsed or refractory acute myeloid leukemia with a susceptible IDH1 mutation[34]. Olutasidenib causes several hazards to patient’s health like liver toxicity, electrolyte (Sodium, Potassium) abnormalities, kidney problems, nausea and/or vomiting, fatigue, muscle or joint pain/aches and headache, constipation, leukocytosis (increased White Blood Cell Count), shortness of breath (Dyspnea), rash, mouth ulcers (Mucositis), diarrhea, fever[33,35]. To mask their associated side effects and increase bioavailability we will make their respective inclusion complexes with supramolecular host β-Cyclodextrin (β-CD)[36]. Subsequently we will evaluate their stability by different theoretical parameters like adsorption energy, projected density of states[37], charge density, Mulliken charge analysis[38] and Molecular Dynamics Simulation[39].

In this work, we conducted a quantum chemistry investigation of β-CD and its inclusion complexation with two significant anti-cancer drugs, Mavacamten and Olutasidenib, aimed at minimizing their usage and side effects.

Figure 1: Molecular Structures of Host (β-Cyclodextrin (Top view) and Guest (Mavacamten and Olutasidenib) Molecules.

Computational details:

All density functional theory (DFT) calculations in our present work were carried out using the Gaussian 16 program [40]. Ground state geometry optimizations of the of β-Cyclodextrin, Mavacamten, Olutasidenib and the inclusion complexes in aqueous medium were performed at B3LYP/6-31+G(d) level of theory[41]. We have chosen dispersion corrected hybrid B3LYP-D-3 functional through the 6-31+G(d)  basis set which is pretty reliable and precisely defines the non-covalently bonded interaction energies (hydrogen bonding, π–π stacking) present in the π-system [42]. The optimized geometries correspond to minima on the potential energy surfaces were confirmed by vibration frequency analysis at the identical level of theory. Different types of weak interactions like H-bonding, van der Waals and steric interactions were envisaged by Non Covalent Interaction (NCI) [43] index plots of the reduced density gradient (RDG or s) vs. molecular density ρ were analyzed using the Multiwfn 2.6 suite[44] at the ground state geometries. Molecular electrostatic potential (MESP) maps were produced at the identical level of theory to know the range of existing charge transfer interactions in the inclusion complexes. Furthermore, adsorption energies or binding energy (ΔEads) for all inclusion complexes were evaluated by the following formula:

ΔEads = Einclusion-complex - ECD - EMavacamten/Olutasidenib

Where Einclusion-complex, ECD, EMavacamten/Olutasidenib are the total energy of the geometry optimized inclusion complex (i.e. Mavacamten-β-CD and Olutasidenib-β-CD, β-CD, Mavacamten/Olutasidenib) in aqueous medium respectively. In order to analyze the contributions from host and guest moieties in HOMO and LUMO of the composite systems, the projected density of states (PDOS) analysis have been carried out.

The interaction of Mavacamten-β-CD and Olutasidenib-β-CD complexes were simulated by employing the atom centered density matrix propagation (ADMP) approach at the identical level of theory with a step-size of 1000 over a timeframe of 45 femtosecond. We have analyzed the geometric parameters and energy fluctuations of these complexes for each 10 fs.

RESULTS AND DISCUSSIONS:

Stable structures and binding energy analysis:

Ground state optimized configurations of host-guest inclusion complexes of Mavacamten and Olutasidenib with β-CD are presented   in Figure 2. The negative binding energies listed in Table 1 confirm that both Mavacamten and Olutasidenib form stable complexes with β-CD, demonstrating a thermodynamically favorable inclusion process (Figure 2). The global and geometric parameters like HOMO, LUMO, chemical potential, bang gap, global hardness, global softness, electro-negativities and electrophilicity index in water medium are illustrated in Table 1. The strong hydrogen bonds (indicated by dashed lines in Figure 2) are crucial for holding Mavacamten (3.51 Å, 3.57 Å) and Olutasidenib (2.12 Å, 3.03 Å, 3.71 Å, 3.91 Å, 3.95 Å) tightly within the β-CD host. These bond lengths clearly demonstrate the significant strength of H-bonding in these supramolecular complexes, contributing to their enhanced stability. 

Table 1:  Adsorption Energy, HOMO, LUMO levels band gap and other global parameters for Mavacamten, Olutasidenib Mavacamten-β-CD and Olutasidenib-β-CD Composites in water medium

 

Mavacamten

Mavacamten-β-CD

Olutasidenib

Olutasidenib-β-CD

ΔEads (eV)

 

-11.89

 

-9.78

HOMO (eV)

-5.78

-5.76

-5.40

-5.37

LUMO (eV)

-0.33

-0.26

-1.78

-1.81

Δ(HOMO −

LUMO) (eV)

- 5.44

- 5.50

- 3.62

- 3.56

μ (eV)

-3.05

-3.01

-3.59

-3.59

χ (eV)

3.05

3.01

3.59

3.59

S (eV)

0.18

0.18

0.28

0.28

η (eV)

2.72

2.75

1.81

1.78

ω (eV)

1.71

1.65

3.55

3.

Figure 2. Geometry optimization of the molecules at B3LYP/6-31+G(d) level of theory. Top and side views of the Mavacamten, Olutasidenib inclusion complexes. Hydrogen Bonds between Host and Guest Molecules in inclusion complexes and calculated major structural parameters were listed. (Angstrom unit)

Computational frequency analyses facilitated the evaluation of thermodynamic parameters. The calculated thermodynamic parameters such as the enthalpy change (ΔH°), the thermal Gibbs free energy (ΔG°) and entropy contribution (ΔS°) calculated at PM7 are summarized in Table 2. The data presented in Table 2, specifically the negative ΔH° and ΔG° values, are found to be consistent with an exothermic and spontaneous complex formation at standard temperature and pressure (298.15 K, 1 atm). The ΔS° change for the inclusion complexes were found negative, indicating a decrease in disorder. We note that the negative entropy change (ΔS°) is the steric barrier caused by molecular geometrical shape and the limit of β-CD cavity to the freedom of movement and rotation of guest molecule. Thermodynamic analysis, revealing negative enthalpy and entropy changes, indicates that the inclusion complex formation is an enthalpy-driven and spontaneous process. The adsorption, solvation energy, and thermodynamic data collectively indicate that the composites present a viable mechanism for the attenuation of drug toxicity and the achievement of sustained drug release.                  Table 2:  ΔG° (kcal); ΔH° (kcal) and ΔS° (cal/K) for Mavacamten-β-CD and Olutasidenib-β-CD Composites in water medium (calculated at RPM7/ZDO level of theory).

Drug Composites

Mavacamten-β-CD

Olutasidenib-β-CD

ΔG° (kcal)

-79.84

-26.06

ΔH° (kcal)

-96.76

-43.75

ΔS° (cal/K)

-56.74

-59.33

Frontier molecular orbital and charge transfer characteristics:

Frontier molecular orbital (FMO) analysis has been performed to understand the stability of the inclusion complexes. The kinetic stability, chemical reactivity, and chemical hardness are often predicted from the energy gap between HOMO and LUMO. The global reactivity descriptors of molecules like chemical potential (μ), electronegativity (χ), softness (S), hardness (η) and electrophilicity index (ω) have been derived from HOMO and LUMO energy values [50, 51] and they were calculated from the equations using Koopman’s theorem for closed-shell molecules. The global reactivity descriptors in water phase are reported in Table 1. The negative chemical potential (μ) values confirm that the studied inclusion complexes are quite stable. Mavacamten's electronegativity (χ) is greater than that of its composite, while Olutasidenib and its composite exhibit the same electronegativity. The softness (S) value of the drug and its corresponding composite was identical in both experimental systems. The global hardness (η) of the Mavacamten composite increases upon its inclusion in the host cavity, a trend reversed for Olutasidenib. Conversely, the electrophilicity index (ω) shows an opposite trend to global hardness. The 3D plots of the HOMO and LUMO orbitals computed at the B3LYP/6-31+G(d) level for all the complexes are shown in Figure 3. A careful scrutiny of FMO plots of encapsulated composites revealed that only guest molecule Mavacamten and Olutasidenib contribute to both HOMO and LUMO level. Such spatial distribution of HOMO-LUMO charge densities evidently demonstrates that charge transfer involving host-guest interaction is absent in these complexes.

Figure 3. HOMO and LUMO of the Mavacamten-β-CD and Olutasidenib-β-CD inclusion complexes.

Figure 4. Mulliken charge distribution of Mavacamten-β-CD and Olutasidenib-β-CD inclusion complexes.

To gain a quantitative insight on the charge transfer from host to guest, the Mulliken charge analysis was done. It is found that in Mavacamten-β-CD inclusion complexes, Host moiety acts as an acceptor and the guest acts a donor, whereas, in Olutasidenib-β-CD, Host moiety acts as donor and the guest acts an acceptor. The substantial charge transfer from host to guest is shown in figure 4.

The electrostatic potential maps (ESP) is a vital tool to understand the molecular interactions in a given molecule. It is very useful for interpreting and predicting relative reactivity sites for electrophilic and nucleophilic attack and hydrogen bonding interactions. The ESP for all the complexes is plotted in the figure 5. The red coloured region signifies the area of negative electrostatic potential. As seen in figure 5, the  red region is more prominent in case of Olutasidenib-β-CD. We have also plotted projected density of states as illustrated in the figure 6 which also suggests donor acceptor interactions and contributions of theses moieties to the conduction and valence bands of the composite systems.

Figure 5. Electrostatic potential maps for the (a) Mavacamten-β-CD and (b) Olutasidenib-β-CD inclusion complexes.

Figure 6.  Projected density of states of (a) Mavacamten-β-CD (b) Olutasidenib-β-CD

Study of ADMP Dynamics of the inclusion complexes:

To account the stability of the micro system molecular dynamics and trajectory analysis of these inclusion complexes were performed. We have chosen ADMP method as it is a reliable approach to examine the molecular stability and dynamics of macrosystems. The dynamic stabilities of the optimized geometries of Mavacamten-β-CD and Olutasidenib-β-CD inclusion complexes were simulated by employing the ADMP method in vacuum (as implemented in Gaussian 16 programme package). The plots of simulated total energies and time are shown in figure 7.

Figure 7.   ADMP trajectories of Etotal of 1:1 Mavacamten-β-CD and Olutasidenib-β-CD inclusion complexes dynamics of optimized geometries.

As shown in figure 8 ( a & b), the typical snapshots at each 10fs are collected. It is noteworthy to notice that during the ADMP simulations, Mavacamten and Olutasidenib moiety is tightly bound within the CD cavity owing to the formation of strong H- bonding. Strong H bonding and  low level of fluctuations are indicative of high stability of inclusion complexes.

Figure 8 (a)  ADMP snapshots for Mavacamten-β-CD inclusion complexes at 10 fs

Figure 8 (b)  ADMP snapshots for Olutasidenib-β-CD inclusion complexes at 10 fs

Non Covalent Interactions?Reduced Density Gradient analysis:

To analyze non-covalent interactions like van der Waals, H-bonding, steric interactions, non-covalent index (NCI) technique have been used. The plots of reduced density gradient (RDG) against electron density multiplied by the sign of the second Hessian eigenvalue (sign(λ2)ρ)  for these supramolecular complexes are shown in figure 9. It is well known that reduced density gradient, appeared to be a practically helpful quantity [46] for the description of non-covalent interactions. In order to differentiate between stabilizing and destabilizing interactions, the eigenvalues (λi ) of the second derivative of density is plotted within the framework of NCI technique and one can easily illustrate information about non-covalent interactions from the plots of sign(λ2  vs. s. The stabilizing interactions are indicated by negative values while the repulsive interactions are characterized by positive values of sign(λ2 . Red, blue and green colors in graphs are signifying the attractive H-bonding, van der Waals, and repulsive steric interaction respectively. Reduced density gradient (RDG) graphs (Figure 9) indicated the presence of stronger stabilizing H-bonding (red region) interactions in both inclusion complexes. It is also observed from the RDG graphs that a significant amount of van der Waals attractive force (blue region) is responsible to stabilize both the inclusion complexes.

Figure 9.   Plots of reduced density gradient (RDG) (a) Mavacamten-β-CD, (b) Olutasidenib-β-CD inclusion complexes respectively

CONCLUSION

Evidence from geometric, adsorption energy, and thermodynamic parameter assessments strongly suggests that Mavacamten and Olutasidenib form stable host-guest inclusion complexes with β-CD. The greater thermodynamic stability of the Mavacamten-β-CD complex, evidenced by its more negative adsorption energy, is attributed to a more precise molecular encapsulation compared to Olutasidenib-β-CD. Simulation results verified that between Mavacamten and Olutasidenib, Mavacamten showed stronger affinity towards β-CD. Furthermore, the NCI analysis provides conclusive evidence that hydrogen bonding and van der Waals interactions represent the primary energetic contributions to complex stabilization. The formation of these host-guest inclusion complexes represents an exceptionally effective strategy for minimizing the adverse effects of specific drugs. The proposed strategy for mitigating the side effects of Mavacamten and Olutasidenib holds the potential to significantly broaden their therapeutic window and optimize their clinical deployment. We sincerely hope that the present research will facilitate the development of effective practices within the scientific community to circumvent the deleterious consequences of these pharmaceuticals.

Conflicts of interest: There is no conflict of interest.

REFERENCES

  1. Bae YH, Park K. Targeted drug delivery to tumors: myths, reality and possibility. Volume 153: Elsevier, 2011:198
  2. Kwon IK, Lee SC, Han B, Park K (2012) Journal of Controlled Release 164(2):108
  3. Yetisgin AA, Cetinel S, Zuvin M, Kosar A, Kutlu O (2020) Molecules 25(9):2193
  4. Bilia AR, Piazzini V, Risaliti L, Vanti G, Casamonti M, Wang M, Bergonzi MC (2019) Current medicinal chemistry 26(24):4631
  5. Baildya N, Mazumdar S, Mridha NK, Chattopadhyay AP, Khan AA, Dutta T, Mandal M, Chowdhury SK, Reza R, Ghosh NN (2023) Computers in Biology and Medicine 154:106593
  6. Wang N, Cheng X, Li N, Wang H, Chen H (2019) Advanced healthcare materials 8(6):1801002
  7. Wakaskar RR (2018) Journal of drug targeting 26(4):311
  8. Hani U, Choudhary VT, Ghazwani M, Alghazwani Y, Osmani RAM, Kulkarni GS, Shivakumar HG, Wani SUD, Paranthaman S (2024) Pharmaceutics 16(12):1527
  9. Beach MA, Nayanathara U, Gao Y, Zhang C, Xiong Y, Wang Y, Such GK (2024) Chemical Reviews 124(9):5505
  10. Zhang M-J, Guo Y-R, Fang G-Z, Pan Q-J (2013) Computational and Theoretical Chemistry 1019:94
  11. Jang Y-M, Yu C-J, Kim J-S, Kim S-U (2018) Journal of Materials Science 53(7):5125
  12. Mondal M, Basak S, Roy D, Haydar MS, Choudhury S, Ghosh B, Ghosh NN, Dutta A, Mandal P, Roy K (2022) ACS omega 7(30):26211
  13. Mondal M, Basak S, Ali S, Roy D, Saha S, Ghosh B, Ghosh NN, Lepcha K, Roy K, Roy MN (2022) RSC advances 12(48):30936
  14. Sharma A, Bomzan P, Roy D, Chhetri A, Choudhury S, Ghosh NN, Ali S, Bk P, Ghosh S, Dutta A (2023) ChemistrySelect 8(11):e202300417
  15. Rajbanshi B, Saha S, Mahato B, Roy D, Ghosh R, Ghosh NN, Ray T, Roy MN (2024) Green Analytical Chemistry 8:100097
  16. Sen S, Baildya N, Alphonse-Mendoza M, Singh B, Chakraborty S, Ghosh NN, Biswas G (2024) Journal of Molecular Liquids 395:123877
  17. Assaf KI, Nau WM (2015) Chemical Society Reviews 44(2):394
  18. Tu C, Zhu L, Li P, Chen Y, Su Y, Yan D, Zhu X, Zhou G (2011) Chemical Communications 47(21):6063
  19. Xia L, Bai Y, Mu W, Wang J, Xu X, Jin Z (2017) Journal of Agricultural and Food Chemistry 65(29):6023
  20. Szejtli J (1998) Chemical reviews 98(5):1743
  21. Iwamoto T (2013) Biological and pharmaceutical bulletin 36(5):715
  22. Roy A, Das R, Roy D, Saha S, Ghosh NN, Bhattacharyya S, Roy MN (2022) Journal of molecular structure 1247:131371
  23. Baildya N, Ghosh NN, Chattopadhyay AP (2021) Journal of Molecular Structure 1230:129891
  24. Baildya N, Khan AA, Ghosh NN, Dutta T, Chattopadhyay AP (2021) Journal of molecular structure 1227:129390
  25. Khan AA, Baildya N, Dutta T, Ghosh NN (2021) Microbial Pathogenesis 152:104762
  26. Dutta T, Baildya N, Khan AA, Ghosh NN (2021) Network Modeling Analysis in Health Informatics and Bioinformatics 10(1):32
  27. Monsuez J-J, Charniot J-C, Vignat N, Artigou J-Y (2010) International journal of cardiology 144(1):3
  28. Olivotto I, Oreziak A, Barriales-Villa R, Abraham TP, Masri A, Garcia-Pavia P, Saberi S, Lakdawala NK, Wheeler MT, Owens A (2020) The Lancet 396(10253):759
  29. Yukselen Z, Raju AKV, Kumar PA, Ujjawal A, Dasari M, Parajuli S, Nakhla M, Bansal K, Ganatra S, Dani SS (2024) American Journal of Cardiovascular Drugs 24(6):791
  30. Hafezi SA, Abdel-Rahman WM (2019) Current molecular pharmacology 12(3):230
  31. Kassab YW, Kader MSMA, Sowran SP, Jayaraman A, Searan WM, Abdalqader MA, Kayarohanam S, Jamal IZAB, Purushothaman VK, Bhupathyraaj M (2025) International Journal of Nutrition, Pharmacology, Neurological Diseases:10.4103
  32. Nehra B, Kumar M, Singh S, Chawla PA (2023) Health Sciences Review 7:100100
  33. Woods AC, Norsworthy KJ, Choe M, Gehrke BJ, Chen H, Vallejo J, Pan L, Jiang X, Li H, Kraft J (2025) Clinical Cancer Research 31(1):12
  34. de Botton S, Fenaux P, Yee K, Recher C, Wei AH, Montesinos P, Taussig DC, Pigneux A, Braun T, Curti A (2023) Blood advances 7(13):3117
  35. Venugopal S, Watts J (2023) Blood advances 7(16):4358
  36. Liu Z, Liu Y (2022) Chemical Society Reviews 51(11):4786
  37. Maiti R, Ghosh NN, Khan AA, Baildya N, Maiti DK (2021) Physics Letters A 412:127554
  38. Hassan N, Sanfui MH, Chowdhury D, Roy S, Ghosh NN, Rahaman M, Chang M, Hasnat MA, Chattopadhyay PK, Singha NR (2024) Macromolecular Rapid Communications 45(19):2400363
  39. Mazumdar S, Chauhan A, Mridha NK, Ghosh NN, Adhikari S, Pathak S, Chattopadhyay AP, Baildya N (2025) Next Research 2(1):100156
  40. Frisch M, Trucks G, Schlegel H, Scuseria G, Robb M, Cheeseman J, Scalmani G, Barone V, Mennucci B, Petersson G (2003) Inc, Pittsburgh PA
  41. Ghosh A, Roychowdhury T, Nandi R, Maiti R, Ghosh NN, Molla SA, Mukhopadhyay S, Prodhan C, Chaudhury K, Das P (2021) Journal of Traditional and Complementary Medicine 11(6):481
  42. Deb M, Roy S, Mitra M, Deb Roy JS, Chowdhury D, Ghosh NN, Maiti DK, Chang M, Rahaman M, Chattopadhyay PK (2024) ACS Applied Polymer Materials 6(8):4936
  43. Sanfui MH, Hassan N, Roy S, Chowdhury D, Nandy P, Chang M, Rahaman M, Ghosh NN, Majumdar S, Chattopadhyay PK (2024) Macromolecular Rapid Communications 45(23):2400677
  44. Lu T, Chen F (2012) Journal of computational chemistry 33(5):580.

Reference

  1. Bae YH, Park K. Targeted drug delivery to tumors: myths, reality and possibility. Volume 153: Elsevier, 2011:198
  2. Kwon IK, Lee SC, Han B, Park K (2012) Journal of Controlled Release 164(2):108
  3. Yetisgin AA, Cetinel S, Zuvin M, Kosar A, Kutlu O (2020) Molecules 25(9):2193
  4. Bilia AR, Piazzini V, Risaliti L, Vanti G, Casamonti M, Wang M, Bergonzi MC (2019) Current medicinal chemistry 26(24):4631
  5. Baildya N, Mazumdar S, Mridha NK, Chattopadhyay AP, Khan AA, Dutta T, Mandal M, Chowdhury SK, Reza R, Ghosh NN (2023) Computers in Biology and Medicine 154:106593
  6. Wang N, Cheng X, Li N, Wang H, Chen H (2019) Advanced healthcare materials 8(6):1801002
  7. Wakaskar RR (2018) Journal of drug targeting 26(4):311
  8. Hani U, Choudhary VT, Ghazwani M, Alghazwani Y, Osmani RAM, Kulkarni GS, Shivakumar HG, Wani SUD, Paranthaman S (2024) Pharmaceutics 16(12):1527
  9. Beach MA, Nayanathara U, Gao Y, Zhang C, Xiong Y, Wang Y, Such GK (2024) Chemical Reviews 124(9):5505
  10. Zhang M-J, Guo Y-R, Fang G-Z, Pan Q-J (2013) Computational and Theoretical Chemistry 1019:94
  11. Jang Y-M, Yu C-J, Kim J-S, Kim S-U (2018) Journal of Materials Science 53(7):5125
  12. Mondal M, Basak S, Roy D, Haydar MS, Choudhury S, Ghosh B, Ghosh NN, Dutta A, Mandal P, Roy K (2022) ACS omega 7(30):26211
  13. Mondal M, Basak S, Ali S, Roy D, Saha S, Ghosh B, Ghosh NN, Lepcha K, Roy K, Roy MN (2022) RSC advances 12(48):30936
  14. Sharma A, Bomzan P, Roy D, Chhetri A, Choudhury S, Ghosh NN, Ali S, Bk P, Ghosh S, Dutta A (2023) ChemistrySelect 8(11):e202300417
  15. Rajbanshi B, Saha S, Mahato B, Roy D, Ghosh R, Ghosh NN, Ray T, Roy MN (2024) Green Analytical Chemistry 8:100097
  16. Sen S, Baildya N, Alphonse-Mendoza M, Singh B, Chakraborty S, Ghosh NN, Biswas G (2024) Journal of Molecular Liquids 395:123877
  17. Assaf KI, Nau WM (2015) Chemical Society Reviews 44(2):394
  18. Tu C, Zhu L, Li P, Chen Y, Su Y, Yan D, Zhu X, Zhou G (2011) Chemical Communications 47(21):6063
  19. Xia L, Bai Y, Mu W, Wang J, Xu X, Jin Z (2017) Journal of Agricultural and Food Chemistry 65(29):6023
  20. Szejtli J (1998) Chemical reviews 98(5):1743
  21. Iwamoto T (2013) Biological and pharmaceutical bulletin 36(5):715
  22. Roy A, Das R, Roy D, Saha S, Ghosh NN, Bhattacharyya S, Roy MN (2022) Journal of molecular structure 1247:131371
  23. Baildya N, Ghosh NN, Chattopadhyay AP (2021) Journal of Molecular Structure 1230:129891
  24. Baildya N, Khan AA, Ghosh NN, Dutta T, Chattopadhyay AP (2021) Journal of molecular structure 1227:129390
  25. Khan AA, Baildya N, Dutta T, Ghosh NN (2021) Microbial Pathogenesis 152:104762
  26. Dutta T, Baildya N, Khan AA, Ghosh NN (2021) Network Modeling Analysis in Health Informatics and Bioinformatics 10(1):32
  27. Monsuez J-J, Charniot J-C, Vignat N, Artigou J-Y (2010) International journal of cardiology 144(1):3
  28. Olivotto I, Oreziak A, Barriales-Villa R, Abraham TP, Masri A, Garcia-Pavia P, Saberi S, Lakdawala NK, Wheeler MT, Owens A (2020) The Lancet 396(10253):759
  29. Yukselen Z, Raju AKV, Kumar PA, Ujjawal A, Dasari M, Parajuli S, Nakhla M, Bansal K, Ganatra S, Dani SS (2024) American Journal of Cardiovascular Drugs 24(6):791
  30. Hafezi SA, Abdel-Rahman WM (2019) Current molecular pharmacology 12(3):230
  31. Kassab YW, Kader MSMA, Sowran SP, Jayaraman A, Searan WM, Abdalqader MA, Kayarohanam S, Jamal IZAB, Purushothaman VK, Bhupathyraaj M (2025) International Journal of Nutrition, Pharmacology, Neurological Diseases:10.4103
  32. Nehra B, Kumar M, Singh S, Chawla PA (2023) Health Sciences Review 7:100100
  33. Woods AC, Norsworthy KJ, Choe M, Gehrke BJ, Chen H, Vallejo J, Pan L, Jiang X, Li H, Kraft J (2025) Clinical Cancer Research 31(1):12
  34. de Botton S, Fenaux P, Yee K, Recher C, Wei AH, Montesinos P, Taussig DC, Pigneux A, Braun T, Curti A (2023) Blood advances 7(13):3117
  35. Venugopal S, Watts J (2023) Blood advances 7(16):4358
  36. Liu Z, Liu Y (2022) Chemical Society Reviews 51(11):4786
  37. Maiti R, Ghosh NN, Khan AA, Baildya N, Maiti DK (2021) Physics Letters A 412:127554
  38. Hassan N, Sanfui MH, Chowdhury D, Roy S, Ghosh NN, Rahaman M, Chang M, Hasnat MA, Chattopadhyay PK, Singha NR (2024) Macromolecular Rapid Communications 45(19):2400363
  39. Mazumdar S, Chauhan A, Mridha NK, Ghosh NN, Adhikari S, Pathak S, Chattopadhyay AP, Baildya N (2025) Next Research 2(1):100156
  40. Frisch M, Trucks G, Schlegel H, Scuseria G, Robb M, Cheeseman J, Scalmani G, Barone V, Mennucci B, Petersson G (2003) Inc, Pittsburgh PA
  41. Ghosh A, Roychowdhury T, Nandi R, Maiti R, Ghosh NN, Molla SA, Mukhopadhyay S, Prodhan C, Chaudhury K, Das P (2021) Journal of Traditional and Complementary Medicine 11(6):481
  42. Deb M, Roy S, Mitra M, Deb Roy JS, Chowdhury D, Ghosh NN, Maiti DK, Chang M, Rahaman M, Chattopadhyay PK (2024) ACS Applied Polymer Materials 6(8):4936
  43. Sanfui MH, Hassan N, Roy S, Chowdhury D, Nandy P, Chang M, Rahaman M, Ghosh NN, Majumdar S, Chattopadhyay PK (2024) Macromolecular Rapid Communications 45(23):2400677
  44. Lu T, Chen F (2012) Journal of computational chemistry 33(5):580.

Photo
Subhankar Choudhury
Corresponding author

Department of Chemistry, Malda College, Malda, India, 732101.

Photo
Somanika Basu
Co-author

Department of Chemistry, University of North Bengal, Darjeeling-734013, West Bengal, India.

Photo
Sibasish Deb
Co-author

Department of Chemistry, University of North Bengal, Darjeeling-734013, West Bengal, India.

Photo
Debadrita Roy
Co-author

Department of Chemistry, University of North Bengal, Darjeeling-734013, West Bengal, India.

Photo
Delwar Ansary
Co-author

Department of Chemistry, University of Kalyani, Kalyani, Nadia, 741235, India.

Photo
Prosenjit Choudhury
Co-author

Department of Physics, Dr. Meghnad Saha College, Itahar-733128, India.

Photo
Surajit Saha
Co-author

Department of Chemistry, Darjeeling Government College, West Bengal, 734101, India.

Photo
Gulbuddin Hekmotiar
Co-author

Department of Chemistry, Gour Mahavidyalaya, Malda-732142, India.

Photo
Niranjan Kumar Mridha
Co-author

Department of Chemistry, Gour Mahavidyalaya, Malda-732142, India.

Photo
Mahendra Nath Roy
Co-author

Department of Chemistry, University of North Bengal, Darjeeling-734013, West Bengal, India.

Somanika Basu, Sibasish Deb, Debadrita Roy, Delwar Ansary, Prosenjit Choudhury, Surajit Saha, Gulbuddin Hekmotiar, Niranjan Kumar Mridha, Subhankar Choudhury*, Mahendra Nath Roy, Delivery of Mavacamten and Olutasidenib Drugs by ?-Cyclodextrin Through Supramolecular Host-Guest Inclusion Complex Formation: A Theoretical Study, Int. J. of Pharm. Sci., 2025, Vol 3, Issue 11, 3798-3810 https://doi.org/10.5281/zenodo.17698666

More related articles
Formulation And Evaluation of Mucoadhesive Buccal ...
Sudhir Kumar, Gunjan Rani, Sourabh Sharma, ...
A review on diabetes mellitus...
Ajay S., Dharshan S., Sneha P., Thoufiq K., Rajesh S., Muhamed Ra...
Development And Validation of RP-HPLC Method for S...
Brinda Jodhani, Dhirendra Kumar tarai, Khyati Bhupta, Dr. Santosh...
BIOACTIVE CONSTITUENTS AND ANTIDIABETIC MECHANISM OF FENUGREEK (TRIGONELLA FOENU...
Thota Srinivas, Shaik Akthar , Dr B Thangabalan, Morla Pavani, Unnagiri Nandini, Chinnappudureddy An...
Herbal Antidepressants : A Comprehensive Review of Plant–Based Therapeutic Age...
Swati Kanaujiya , Dr. Rahul Sharma, Dr. Aaditya Singh, ...
Drug-Induced Ischemic Priapism in an Intellectually Disabled Patient: Al-Ghorab ...
Vivek A. K., Gaythri Ajaya Prasad, Reshma Babu, Shaiju S. Dharan, ...
Related Articles
A Overview On Role Of Artificial Intelligence In Future Of Pharmacy ...
Nutan Yashwant Date , Shrawani Eknath Rakshe , Akshada Sunil Dhamdhere , ...
Clinical Insights And Challenges: A Rare Case Report Of Mauriac Syndrome ...
S P Srinivas Nayak, Chauhan Sneha Arvind, Tanishka Bairagi, Riddhi Patel, ...
A Review on Transdermal Drug Delivery System...
Wasim Bagwan, Kumbhar Shivam, Kotsulwar Sohan, Nilewad Mahesh, ...
Evaluation Of Antidepressant Activity of Passiflora Edulis in Laboratory Animals...
Pratiksha Mhalsane, Dr. Kailash Biyani, Dr. Gopal Bihani, Dr. Pavan Folane , ...
More related articles
A review on diabetes mellitus...
Ajay S., Dharshan S., Sneha P., Thoufiq K., Rajesh S., Muhamed Rafeek., ...
Development And Validation of RP-HPLC Method for Simultaneous Estimation of Dapa...
Brinda Jodhani, Dhirendra Kumar tarai, Khyati Bhupta, Dr. Santosh Kirtane, ...
A review on diabetes mellitus...
Ajay S., Dharshan S., Sneha P., Thoufiq K., Rajesh S., Muhamed Rafeek., ...
Development And Validation of RP-HPLC Method for Simultaneous Estimation of Dapa...
Brinda Jodhani, Dhirendra Kumar tarai, Khyati Bhupta, Dr. Santosh Kirtane, ...