ArticleBioinformation2019
Structure-based virtual screening and molecular docking for the identification of potential novel EGFRkinase inhibitors against ovarian cancer.
Article in Bioinformation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Molecular docking analysis of MCL-1 inhibitors for breast cancer management.Bioinformation · 2023Article
- Molecular docking analysis of sphingosine kinase 1 inhibitors for cancer management.Bioinformation · 2023Article
- Discovery of potent STAT3 inhibitors using structure-based virtual screening, molecular dynamic simulation, and biological evaluation.Frontiers in oncology · 2023Article
- Molecular docking analysis of KRAS inhibitors for cancer management.Bioinformation · 2023Article
- Molecular docking analysis of natural compounds as TNF-α inhibitors for Crohn's disease management.Bioinformation · 2023Article
- Novel saccharin analogs as promising antibacterial and anticancer agents: synthesis, DFT, POM analysis, molecular docking, molecular dynamic simulations, and cell-based assay.Frontiers in pharmacology · 2022Article
- Synthesis, Structural Investigations, Molecular Docking, and Anticancer Activity of Some Novel Schiff Bases and Their Uranyl Complexes.Biomolecules · 2021Article
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epidermal Growth Factor Receptor (EGFR) is, for the most part, deregulated and over-communicated in ovarian disease, which is legitimately connected with STAT3 enactment that prompts the collection of hostile to apoptotic occasions and along these lines, docetaxel medicate obstruction happens. As to, expanding of docetaxel medicate affectability by focusing on EGFR receptor alongside docetaxel drugs is one of the real techniques in ovarian disease treatment. In this specific circumstance, utilizing atomic recreation considers, the present examination depicted the auxiliary and pragmatic properties of IBS Database mixes as a potential inhibitor of EGFR tyrosine kinase, and furthermore ADMET had researched its Pharmacokinetic profile. As indicated by the outcomes, STOCK1N-98911, STOCK1N- 98869, and STOCK1N-98896 have appeared tremendous restricting vitality by associating with critical build ups in the dynamic site. Natural movement range forecast of these mixes indicated potential anticancer properties by demonstrating important collaboration with EGFR tyrosine kinase. Besides, the investigation is likewise valuable for further clinical based examinations and furthermore for the approval of toxicological and pharmacokinetic contemplate.
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