Literature DB >> 31999924

Identification of Druggable Kinase Target Conformations Using Markov Model Metastable States Analysis of apo-Abl.

Fabian Paul1, Yilin Meng1, Benoît Roux1.   

Abstract

Kinases are important targets for drug development. However, accounting for the impact of possible structural rearrangements on the binding of kinase inhibitors is complicated by the extensive flexibility of their catalytic domain. The dynamic N-lobe contains four particular mobile structural elements: the Asp-Phe-Gly (DFG) motif, the phosphate (P) positioning loop, the activation (A) loop, and the αC helix. In our previous study [ Meng et al. J. Chem. Theory Comput. 2018 14 , 2721 - 2732 ], we combined various simulation techniques with Markov state modeling (MSM) to explore the free energy landscape of Abl kinase beyond conformations that are known from X-ray crystallography. Here we examine the resulting Markov model in greater detail by analyzing its metastable states. A characterization of the states in terms of their DFG state, P-loop, and αC conformations is presented and compared to existing classification schemes. Several metastable states are found to be structurally close to known crystal structures of different kinases in complex with a variety of inhibitors. These results suggest that the set of conformations accessible to tyrosine kinases may be shared within the entire family and that the conformational dynamics of one kinase in the absence of any ligand can provide meaningful information about possible target conformations for inhibitors of any member of the kinase family.

Entities:  

Year:  2020        PMID: 31999924     DOI: 10.1021/acs.jctc.9b01158

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  6 in total

1.  Kincore: a web resource for structural classification of protein kinases and their inhibitors.

Authors:  Vivek Modi; Roland L Dunbrack
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

2.  Mapping the conformational energy landscape of Abl kinase using ClyA nanopore tweezers.

Authors:  Fanjun Li; Monifa A Fahie; Kaitlyn M Gilliam; Ryan Pham; Min Chen
Journal:  Nat Commun       Date:  2022-06-20       Impact factor: 17.694

3.  Molecular dynamics simulations of the conformational plasticity in the active pocket of salt-inducible kinase 2 (SIK2) multi-state binding with bosutinib.

Authors:  Mingsong Shi; Lun Wang; Kongjun Liu; Yong Chen; Mengshi Hu; Linyu Yang; Jun He; Lijuan Chen; Dingguo Xu
Journal:  Comput Struct Biotechnol J       Date:  2022-05-23       Impact factor: 6.155

4.  Independent Markov decomposition: Toward modeling kinetics of biomolecular complexes.

Authors:  Tim Hempel; Mauricio J Del Razo; Christopher T Lee; Bryn C Taylor; Rommie E Amaro; Frank Noé
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-03       Impact factor: 11.205

5.  Mechanistic Insights Into Co-Administration of Allosteric and Orthosteric Drugs to Overcome Drug-Resistance in T315I BCR-ABL1.

Authors:  Hao Zhang; Mingsheng Zhu; Mingzi Li; Duan Ni; Yuanhao Wang; Liping Deng; Kui Du; Shaoyong Lu; Hui Shi; Chen Cai
Journal:  Front Pharmacol       Date:  2022-03-18       Impact factor: 5.810

6.  AtomNet PoseRanker: Enriching Ligand Pose Quality for Dynamic Proteins in Virtual High-Throughput Screens.

Authors:  Kate A Stafford; Brandon M Anderson; Jon Sorenson; Henry van den Bedem
Journal:  J Chem Inf Model       Date:  2022-03-02       Impact factor: 4.956

  6 in total

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