Literature DB >> 29282631

Emergence of a Promising Lead Compound in the Treatment of Triple Negative Breast Cancer: An Insight into Conformational Features and Ligand Binding Landscape of c-Src Protein with UM-164.

Umar Ndagi1, Ndumiso N Mhlongo2, Mahmoud E Soliman3.   

Abstract

UM-164, a potent Src/p38 inhibitor, is a promising lead compound for developing the first targeted therapeutic strategy against triple-negative breast cancer (TNBC). However, lack of understanding of conformational features of UM-164 in complex with Src serves a challenge in the rational design of novel Src dual inhibitors. Herein, we provide an in-depth insight into conformational features of Src-UM-164 using different computational approaches. This involved molecular dynamics (MD) simulation, principal component analysis (PCA), thermodynamics calculations, dynamic cross-correlation (DCCM) analysis, and hydrogen bond formation. Findings from this study revealed that (1) the binding of UM-164 to Src induces a more stable and compact conformation; (2) the binding of UM-164 results in increased correlation among the active site residue; (3) the presence of multiple phenyl rings and fluorinated phenyl group in UM-164 contributes to the steric effect; (4) a relatively high-binding free energy estimated for the Src-UM-164 system is affirmative of its experimental potency; (5) hydrophobic packing contributes significantly to the drug binding in Src-UM-164; and (6) observed increase in H-bond distance of interacting residue atoms and Dasatinib compared to UM-164. Findings from this study can serve as a baseline in the design of novel Src inhibitors with dual inhibitory properties.

Entities:  

Keywords:  Dual kinase inhibitor and DFG-out; Molecular dynamics; Src; TNBC; UM-164

Mesh:

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Year:  2017        PMID: 29282631     DOI: 10.1007/s12010-017-2677-z

Source DB:  PubMed          Journal:  Appl Biochem Biotechnol        ISSN: 0273-2289            Impact factor:   2.926


  2 in total

1.  An analogue of a kinase inhibitor exhibits subjective characteristics that contribute to its inhibitory activities as a potential anti-cancer candidate: insights through computational biomolecular modelling of UM-164 binding with lyn protein.

Authors:  Umar Ndagi; Maryam Abdullahi; Asmau N Hamza; Mahmoud E Soliman
Journal:  RSC Adv       Date:  2019-12-24       Impact factor: 4.036

2.  KEGG-expressed genes and pathways in triple negative breast cancer: Protocol for a systematic review and data mining.

Authors:  Jiarui Chen; Chong Liu; Jiemei Cen; Tuo Liang; Jiang Xue; Haopeng Zeng; Zide Zhang; Guoyong Xu; Chaojie Yu; Zhaojun Lu; Zequn Wang; Jie Jiang; Xinli Zhan; Jian Zeng
Journal:  Medicine (Baltimore)       Date:  2020-05       Impact factor: 1.817

  2 in total

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