Literature DB >> 28477056

Discovery of Potent ALK Inhibitors Using Pharmacophore-Informatics Strategy.

Nivya James1, K Ramanathan2.   

Abstract

Anaplastic lymphoma kinase is a tyrosine kinase receptor protein belonging to insulin receptor superfamily. Gene fusions in anaplastic lymphoma kinase are associated with non-small cell lung cancer development. Hence, they are of immense importance in targeted therapies. Thus, for the treatment of non-small cell lung cancer, effective anaplastic lymphoma kinase inhibitors are of great significance. Therefore, our objective is to find hit compounds that could have better inhibitory activity than the existing anaplastic lymphoma kinase inhibitors. Keeping this in mind, in the present study pharmacophore based virtual screening was performed to identify possible anaplastic lymphoma kinase inhibitors. Initially, a five-point common pharmacophore hypothesis was generated based on twelve anaplastic lymphoma kinase inhibitors using PHASE module of Schrödinger. Subsequently, common pharmacophore hypothesis-based screening was conducted against in-trials subset of ZINC database and a total of 1000 hits were identified. The molecules obtained were further screened by three stages of docking using GLIDE software. The docking results reveal that six hit molecules showed higher glide score in comparison with the reference molecules. Finally, pharmacokinetic properties of the hit molecules were also analysed using QikProp programme. The results indicate that molecules namely videx, dexecadotril, chloramphenicol, naficillin were found to have good pharmacokinetic properties and human oral absorption. Moreover, videx, naficillin and chloramphenicol were found to have significant inhibitory activity for mutant (F1174L) anaplastic lymphoma kinase. It was also found that videx exhibited crucial interactions with the Met1199 residue of the native and mutant anaplastic lymphoma kinase protein. Furthermore, PASS algorithm predicted anti-neoplastic activity for all the four molecules. Thus these hits are found to be promising leads for anaplastic lymphoma kinase inhibitors. We believe that this study will be useful for the discovery and designing of more potent anaplastic lymphoma kinase inhibitors in the near future.

Entities:  

Keywords:  ALK; Pharmacophore model; Qikprop; Virtual screening; ZINC database

Mesh:

Substances:

Year:  2017        PMID: 28477056     DOI: 10.1007/s12013-017-0800-y

Source DB:  PubMed          Journal:  Cell Biochem Biophys        ISSN: 1085-9195            Impact factor:   2.194


  3 in total

1.  Exploring the antidiabetic potential of compounds isolated from Anacardium occidentale using computational aproach: ligand-based virtual screening.

Authors:  Victor Okoliko Ukwenya; Sunday Aderemi Adelakun; Olusola Olalekan Elekofehinti
Journal:  In Silico Pharmacol       Date:  2021-04-03

2.  Discovery of potent Covid-19 main protease inhibitors using integrated drug-repurposing strategy.

Authors:  Muthu Kumar T; Rohini K; Nivya James; Shanthi V; Ramanathan K
Journal:  Biotechnol Appl Biochem       Date:  2021-04-14       Impact factor: 2.724

3.  How to Achieve Better Results Using PASS-Based Virtual Screening: Case Study for Kinase Inhibitors.

Authors:  Pavel V Pogodin; Alexey A Lagunin; Anastasia V Rudik; Dmitry A Filimonov; Dmitry S Druzhilovskiy; Mark C Nicklaus; Vladimir V Poroikov
Journal:  Front Chem       Date:  2018-04-26       Impact factor: 5.221

  3 in total

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