In Silico Identification of Promising New Pyrazole Derivative-Based Small Molecules for Modulating CRMP2, C-RAF, CYP17, VEGFR, C-KIT, and HDAC-Application towards Cancer Therapeutics.
cancer targets
molecular docking
molecular dynamic simulation
pyrazole derivatives
Journal
Current issues in molecular biology
ISSN: 1467-3045
Titre abrégé: Curr Issues Mol Biol
Pays: Switzerland
ID NLM: 100931761
Informations de publication
Date de publication:
31 Oct 2022
31 Oct 2022
Historique:
received:
26
08
2022
revised:
11
10
2022
accepted:
24
10
2022
entrez:
10
11
2022
pubmed:
11
11
2022
medline:
11
11
2022
Statut:
epublish
Résumé
Despite continual efforts being made with multiple clinical studies and deploying cutting-edge diagnostic tools and technologies, the discovery of new cancer therapies remains of severe worldwide concern. Multiple drug resistance has also emerged in several cancer cell types, leaving them unresponsive to the many cancer treatments. Such a condition always prompts the development of next-generation cancer therapies that have a better chance of inhibiting selective target macromolecules with less toxicity. Therefore, in the present study, extensive computational approaches were implemented combining molecular docking and dynamic simulation studies for identifying potent pyrazole-based inhibitors or modulators for CRMP2, C-RAF, CYP17, c-KIT, VEGFR, and HDAC proteins. All of these proteins are in some way linked to the development of numerous forms of cancer, including breast, liver, prostate, kidney, and stomach cancers. In order to identify potential compounds, 63 in-house synthesized pyrazole-derivative compounds were docked with each selected protein. In addition, single or multiple standard drug compounds of each protein were also considered for docking analyses and their results used for comparison purposes. Afterward, based on the binding affinity and interaction profile of pyrazole compounds of each protein, potentially strong compounds were filtered out and further subjected to 1000 ns MD simulation analyses. Analyzing parameters such as RMSD, RMSF, RoG and protein-ligand contact maps were derived from trajectories of simulated protein-ligand complexes. All these parameters turned out to be satisfactory and within the acceptable range to support the structural integrity and interaction stability of the protein-ligand complexes in dynamic state. Comprehensive computational analyses suggested that a few identified pyrazole compounds, such as M33, M36, M72, and M76, could be potential inhibitors or modulators for HDAC, C-RAF, CYP72 and VEGFR proteins, respectively. Another pyrazole compound, M74, turned out to be a very promising dual inhibitor/modulator for CRMP2 and c-KIT proteins. However, more extensive study may be required for further optimization of the selected chemical framework of pyrazole derivatives to yield improved inhibitory activity against each studied protein receptor.
Identifiants
pubmed: 36354673
pii: cimb44110361
doi: 10.3390/cimb44110361
pmc: PMC9689108
doi:
Types de publication
Journal Article
Langues
eng
Pagination
5312-5351Subventions
Organisme : Taif University Researchers
ID : TURSP-2020/75
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