Literature DB >> 25262798

Virtual screening and discovery of novel aurora kinase inhibitors.

R Raghu, Vinod Devaraji, K Leena, S D Riyaz, Polavaru Baby Rani, B Suneel Kumar, Pradeep Kumar Naik, P K Dubey, Devadasan Velmurugan, M Vijayalakshmi1.   

Abstract

Cancer remains one of the major contributors to human mortality and a hazard to human growth. The search for a new treatment continues unabated. Aurora kinases play an important role in cell cycle, and thus a potential target for the treatment of cancer. In the present work, we aim to discover potential leads against aurora kinase using various rational methods of drug discovery. The available crystal complexes of AKs were analyzed for their interactions and quantified with glide-extra precision (XP) docking. About 20 crystal pdb were selected from the protein databank based on the resolution factor, R-factor and R-value. And after docking with the native ligands, the RMSD value was calculated, wherein the protein with the least RMSD was found to be 3UOK which was further used for our screening of small molecules from the in-house database by molecular docking. Fragments which were found to possess the best interactions were considered for the synthesis with characterization, and biological activity was carried out against breast cancer and colorectal cancer cell lines to assess the inhibitory capability of synthesized compounds. Molecule with the molecular id IS2 i.e. (3E)-3-(5-fluoro-2-oxo-1,2-dihydro-3H-indol-3-ylidene)-2H chromene-2,4(3H)-dione was found to possess inhibitory activity with an IC50 of 1.324 nM and 5.785 µM for breast cell line and colorectal cell line studies, respectively.

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Year:  2014        PMID: 25262798     DOI: 10.2174/1568026614666140929151140

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  2 in total

1.  Computational identification of 2,4-disubstituted amino-pyrimidines as L858R/T790M-EGFR double mutant inhibitors using pharmacophore mapping, molecular docking, binding free energy calculation, DFT study and molecular dynamic simulation.

Authors:  Rahul Pawara; Iqrar Ahmad; Sanjay Surana; Harun Patel
Journal:  In Silico Pharmacol       Date:  2021-10-06

2.  Biotechnology landscape in cancer drug discovery.

Authors:  Monica Neagu; Radu Albulescu; Cristiana Tanase
Journal:  Future Sci OA       Date:  2015-11-01
  2 in total

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