Literature DB >> 32659630

Design of antitumor drugs targeting c-kit receptor by a new mixed ligand-structure based method.

Annamaria Martorana1, Antonino Lauria2.   

Abstract

An important challenge, in the medicinal chemistry field, is the research of novel forceful drugs to overcome tumor-acquired resistance. The c-Kit tyrosine kinase receptor (TKR) represents a suitable target for the carcinogenesis control of gastro-intestinal stromal (GIST), leukemia, and mastocytosis tumors; nevertheless, several hotspot mutations of the protein limit the efficacy of a few clinical administered TKRs inhibitors. In this study, a new in silico protocol based on ligand and structure-based combined method is proposed, with the aim to identify a set of new c-Kit inhibitors able to complex c-Kit mutated proteins. A recent and freely available web-server DRUDIT is used for the ligand-based method. The protocol application allows for identifying a new generation of potential TKR inhibitors, which, in silico, complex the V654A and T670I mutated proteins and potentially overcome resistant mutations (D816H). The structure-based analysis is performed by Induced Fit Docking (IFD) studies. The comparison between the explored ligands and well-known drugs highlights the possibility to overcome tumor-acquired resistance. The best-selected structures (630705 and SML1348) provide valuable binding affinities with the mutated c-Kit forms (respectively T670I and V654A).
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DRUDIT web-server; Drug resistance; In silico protocols; Molecular docking; c-Kit

Mesh:

Substances:

Year:  2020        PMID: 32659630     DOI: 10.1016/j.jmgm.2020.107666

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  2 in total

1.  In Silico Identification of Small Molecules as New Cdc25 Inhibitors through the Correlation between Chemosensitivity and Protein Expression Pattern.

Authors:  Antonino Lauria; Annamaria Martorana; Gabriele La Monica; Salvatore Mannino; Giuseppe Mannino; Daniele Peri; Carla Gentile
Journal:  Int J Mol Sci       Date:  2021-04-02       Impact factor: 5.923

Review 2.  Mucosal Melanoma: Pathological Evolution, Pathway Dependency and Targeted Therapy.

Authors:  Yanni Ma; Ronghui Xia; Xuhui Ma; Robert L Judson-Torres; Hanlin Zeng
Journal:  Front Oncol       Date:  2021-07-19       Impact factor: 6.244

  2 in total

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