1
|
Rathod S, Shinde K, Porlekar J, Choudhari P, Dhavale R, Mahuli D, Tamboli Y, Bhatia M, Haval KP, Al-Sehemi AG, Pannipara M. Computational Exploration of Anti-cancer Potential of Flavonoids against Cyclin-Dependent Kinase 8: An In Silico Molecular Docking and Dynamic Approach. ACS OMEGA 2023; 8:391-409. [PMID: 36643495 PMCID: PMC9835631 DOI: 10.1021/acsomega.2c04837] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
Over the centuries, cancer has been considered one of the significant health threats. It holds the position in the list of deadliest diseases over the globe. In women, breast cancer is the most common among many cancers and is the second most common cancer all over the world, while lung cancer is the first. Cyclin-dependent kinase 8 (CDK8) has been identified as a critical oncogenic driver that is found in breast cancer and associated with tumor progression. Flavonoids were virtually screened against CDK8 using molecular docking, drug-likeness, ADMET prediction, and a molecular dynamics (MD) simulation approach to determine the potential flavonoid structure against CDK8. The results indicated that ZINC000005854718 showed the highest negative binding affinity of -10.7 kcal/mol with the targeted protein and passed all the drug-likeness parameters. Performed molecular dynamics simulation showed that docked complex systems have good conformational stability over 100 ns in different temperatures (298, 300, 305, 310, and 320 K). The comparison between calculated binding free energy via MM/PB(GB)SA methods and binding affinity calculated via molecular docking suggested tight binding of ZINC000005854718 with targeted protein. The results concluded that ZINC000005854718 has drug-like properties with tight and stable binding with the targeted protein.
Collapse
Affiliation(s)
- Sanket Rathod
- Department
of Pharmaceutical Chemistry, Bharati Vidyapeeth
College of Pharmacy, Kolhapur 416 013, Maharashtra, India
| | - Ketaki Shinde
- Department
of Quality Assurance Techniques, Poona College of Pharmacy, Bharati Vidyapeeth Deemed University, Pune 411 038, Maharashtra, India
| | - Jaykedar Porlekar
- Department
of Pharmaceutics, Bharati Vidyapeeth College
of Pharmacy, Kolhapur 416 013, Maharashtra, India
| | - Prafulla Choudhari
- Department
of Pharmaceutical Chemistry, Bharati Vidyapeeth
College of Pharmacy, Kolhapur 416 013, Maharashtra, India
| | - Rakesh Dhavale
- Department
of Pharmaceutics, Bharati Vidyapeeth College
of Pharmacy, Kolhapur 416 013, Maharashtra, India
| | - Deepak Mahuli
- Department
of Pharmacology, Bharati Vidyapeeth College
of Pharmacy, Kolhapur 416 013, Maharashtra, India
| | - Yasinalli Tamboli
- Wockhardt
Research Centre, D-4, MIDC, Chikalthana, Aurangabad 431 006, Maharashtra, India
| | - Manish Bhatia
- Department
of Pharmaceutical Chemistry, Bharati Vidyapeeth
College of Pharmacy, Kolhapur 416 013, Maharashtra, India
| | - Kishan P. Haval
- Department
of Chemistry, Dr. Babasaheb Ambedkar Marathwada
University Sub Campus, Osmanabad 413501, Maharashtra, India
| | | | | |
Collapse
|
2
|
Chen W, Ren X, Chang CEA. Discovery of CDK8/CycC Ligands with a New Virtual Screening Tool. ChemMedChem 2018; 14:107-118. [PMID: 30403831 DOI: 10.1002/cmdc.201800559] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2018] [Revised: 11/02/2018] [Indexed: 12/15/2022]
Abstract
Selective inhibition of cyclin-dependent kinase 8 and cyclin C (CDK8/CycC) has been suggested as a promising strategy for decreasing mitogenic signals in cancer cells with reduced toxicity toward normal cells. We developed a novel virtual screening protocol for drug development and applied it to the discovery of new CDK8/CycC type II ligands, which is likely to achieve long residence time and specificity. We first analyzed the binding thermodynamics of 11 published pyrazolourea ligands using molecular dynamics simulations and a free-energy calculation method, VM2, and extracted the key binding information to assist virtual screening. The urea moiety was found to be the critical structural contributor of the reference ligands. Starting with the urea moiety, we conducted substructure-based searches with our newly developed superposition and single-point energy evaluation method, followed by free-energy calculations, and singled out three purchasable compounds for bioassay testing. The ranking from the experimental results is completely consistent with the predicted rankings. A potent drug-like compound was found to have a Kd value of 42.5 nm, which is similar to those of the most potent reference ligands; this provided a good starting point for further improvement. This study shows that our novel virtual screening protocol is an accurate and efficient tool for drug development.
Collapse
Affiliation(s)
- Wei Chen
- Department of Chemistry, University of California, Riverside, CA, 92521, USA.,ChemConsulting LLC, Frederick, MD, 21704, USA.,NanChang Lead Biotech LLC, NanChang, JiangXi, 330096, China
| | - Xiaodong Ren
- Department of Chemistry, University of California, Riverside, CA, 92521, USA
| | - Chia-En A Chang
- Department of Chemistry, University of California, Riverside, CA, 92521, USA
| |
Collapse
|