Flavonoids as P-glycoprotein inhibitors for multidrug resistance in cancer: an in-silico approach
dc.contributor.author | Kumar, Amit | |
dc.contributor.author | Kalra, Sourav | |
dc.contributor.author | Jangid, Kailash | |
dc.contributor.author | Jaitak, Vikas | |
dc.date.accessioned | 2024-01-21T10:38:25Z | |
dc.date.accessioned | 2024-08-13T12:05:21Z | |
dc.date.available | 2024-01-21T10:38:25Z | |
dc.date.available | 2024-08-13T12:05:21Z | |
dc.date.issued | 2022-09-19T00:00:00 | |
dc.description.abstract | Cancer has become a leading cause of mortality due to non-communicable diseases after cardiovascular disease worldwide and is increasing day by day at a daunting pace. According to an estimate by 2040 there will be 28.4 million cancer cases. Occurrence of multidrug resistance has further worsened the scenario of available cancer treatment. Among different mechanisms of multidrug resistance efflux of xenobiotics by ABC transporter is of prime importance. P-glycoprotein (P-gp) is the major factor behind occurrence of multidrug resistance due to its wide distribution and invariably big binding cavity. Various generations of chemical inhibitors for P-gp have been designed and tested are not devoid of major side effects. Thus, in present study flavonoids a major class of natural compounds was virtually screened in order to find molecules which can be used as selective P-gp inhibitors to be used along with chemotherapeutics. After screening 4275 molecules from different classes of flavonoids i.e. flavan, flavanol, flavonone, flavone, anthocyanins, and isoflavone, through Glide docking top ten hit molecules were selected based on their binding affinity, binding energy calculation and pharmacokinetic properties. All the hit molecules were found to have docking score within the range of ?11.202 to ?9.699 kcal/mol showing very strong interaction with the amino acid residues of binding pocket. Whereas, dock score of standard P-gp inhibitor verapamil was ?4.984 kcal/mol. The ligand and protein complex were found to be quite stable while run through molecular dynamics simulations. Communicated by Ramaswamy H. Sarma. � 2022 Informa UK Limited, trading as Taylor & Francis Group. | en_US |
dc.identifier.doi | 10.1080/07391102.2022.2123390 | |
dc.identifier.issn | 7391102 | |
dc.identifier.uri | http://10.2.3.109/handle/32116/3564 | |
dc.identifier.url | https://www.tandfonline.com/doi/full/10.1080/07391102.2022.2123390 | |
dc.language.iso | en_US | en_US |
dc.publisher | Taylor and Francis Ltd. | en_US |
dc.subject | Cancer | en_US |
dc.subject | flavonoids | en_US |
dc.subject | in silico | en_US |
dc.subject | multidrug resistance | en_US |
dc.subject | natural products | en_US |
dc.subject | P-gp | en_US |
dc.title | Flavonoids as P-glycoprotein inhibitors for multidrug resistance in cancer: an in-silico approach | en_US |
dc.title.journal | Journal of Biomolecular Structure and Dynamics | en_US |
dc.type | Article | en_US |
dc.type.accesstype | Closed Access | en_US |