Literature DB >> 31300938

Structure based design of selective SHP2 inhibitors by De novo design, synthesis and biological evaluation.

Wen-Shan Liu1, Wen-Yan Jin1, Liang Zhou1, Xing-Hua Lu1, Wei-Ya Li1, Ying Ma2, Run-Ling Wang3.   

Abstract

SHP2 phosphatase, encoded by the PTPN11 gene, is a non-receptor PTP, which plays an important role in growth factor, cytokine, integrin, hormone signaling pathways, and regulates cellular responses, such as proliferation, differentiation, adhesion migration and apoptosis. Many studies have reported that upregulation of SHP2 expression is closely related to human cancer, such as breast cancer, liver cancer and gastric cancer. Hence, SHP2 has become a promising target for cancer immunotherapy. In this paper, we reported the identification of compound 1 as SHP2 inhibitor. Fragment-based ligand design, De novo design, ADMET and Molecular docking were performed to explore potential selective SHP2 allosteric inhibitors based on SHP836. The results of docking studies indicated that the selected compounds had higher selective SHP2 inhibition than existing inhibitors. Compound 1 was found to have a novel selectivity against SHP2 with an in vitro enzyme activity IC50 value of 9.97 μM. Fluorescence titration experiment confirmed that compound 1 directly bound to SHP2. Furthermore, the results of binding free energies demonstrated that electrostatic energy was the primary factor in elucidating the mechanism of SHP2 inhibition. Dynamic cross correlation studies also supported the results of docking and molecular dynamics simulation. This series of analyses provided important structural features for designing new selective SHP2 inhibitors as potential drugs and promising candidates for pre-clinical pharmacological investigations.

Entities:  

Keywords:  De novo; Molecular dynamics simulation; SHP2; Selective allosteric inhibitors

Year:  2019        PMID: 31300938     DOI: 10.1007/s10822-019-00213-z

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  38 in total

1.  Conformational change of proteins arising from normal mode calculations.

Authors:  F Tama; Y H Sanejouand
Journal:  Protein Eng       Date:  2001-01

2.  Detailed analysis of grid-based molecular docking: A case study of CDOCKER-A CHARMm-based MD docking algorithm.

Authors:  Guosheng Wu; Daniel H Robertson; Charles L Brooks; Michal Vieth
Journal:  J Comput Chem       Date:  2003-10       Impact factor: 3.376

Review 3.  Comparing protein-ligand docking programs is difficult.

Authors:  Jason C Cole; Christopher W Murray; J Willem M Nissink; Richard D Taylor; Robin Taylor
Journal:  Proteins       Date:  2005-08-15

Review 4.  Computer-based de novo design of drug-like molecules.

Authors:  Gisbert Schneider; Uli Fechner
Journal:  Nat Rev Drug Discov       Date:  2005-08       Impact factor: 84.694

5.  Atomic solvation parameters applied to molecular dynamics of proteins in solution.

Authors:  L Wesson; D Eisenberg
Journal:  Protein Sci       Date:  1992-02       Impact factor: 6.725

6.  The discovery of a novel and selective inhibitor of PTP1B over TCPTP: 3D QSAR pharmacophore modeling, virtual screening, synthesis, and biological evaluation.

Authors:  Ying Ma; Yuan-Yuan Jin; Ye-Liu Wang; Run-Ling Wang; Xin-Hua Lu; De-Xin Kong; Wei-Ren Xu
Journal:  Chem Biol Drug Des       Date:  2014-06       Impact factor: 2.817

7.  Allosteric Inhibition of SHP2: Identification of a Potent, Selective, and Orally Efficacious Phosphatase Inhibitor.

Authors:  Jorge Garcia Fortanet; Christine Hiu-Tung Chen; Ying-Nan P Chen; Zhouliang Chen; Zhan Deng; Brant Firestone; Peter Fekkes; Michelle Fodor; Pascal D Fortin; Cary Fridrich; Denise Grunenfelder; Samuel Ho; Zhao B Kang; Rajesh Karki; Mitsunori Kato; Nick Keen; Laura R LaBonte; Jay Larrow; Francois Lenoir; Gang Liu; Shumei Liu; Franco Lombardo; Dyuti Majumdar; Matthew J Meyer; Mark Palermo; Lawrence Perez; Minying Pu; Timothy Ramsey; William R Sellers; Michael D Shultz; Travis Stams; Christopher Towler; Ping Wang; Sarah L Williams; Ji-Hu Zhang; Matthew J LaMarche
Journal:  J Med Chem       Date:  2016-07-12       Impact factor: 7.446

8.  Identification of demethylincisterol A3 as a selective inhibitor of protein tyrosine phosphatase Shp2.

Authors:  Chuan Chen; Fan Liang; Bo Chen; Zhongyi Sun; Tongdan Xue; Runlei Yang; Duqiang Luo
Journal:  Eur J Pharmacol       Date:  2016-12-08       Impact factor: 4.432

9.  Exploring protein native states and large-scale conformational changes with a modified generalized born model.

Authors:  Alexey Onufriev; Donald Bashford; David A Case
Journal:  Proteins       Date:  2004-05-01

10.  Integrating genomic information with protein sequence and 3D atomic level structure at the RCSB protein data bank.

Authors:  Andreas Prlic; Tara Kalro; Roshni Bhattacharya; Cole Christie; Stephen K Burley; Peter W Rose
Journal:  Bioinformatics       Date:  2016-08-22       Impact factor: 6.937

View more
  1 in total

1.  Dissecting protein tyrosine phosphatase signaling by engineered chemogenetic control of its activity.

Authors:  Jordan Fauser; Vincent Huyot; Jacob Matsche; Barbara N Szynal; Yuri Alexeev; Pradeep Kota; Andrei V Karginov
Journal:  J Cell Biol       Date:  2022-07-13       Impact factor: 8.077

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.