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structure activity relationships

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8555 results for structure activity relationships in 16 miliseconds

Bone
2021 ◽
pp. 116289
Author(s):
Frank H. Ebetino
Shuting Sun
Philip Cherian
Sahar Roshandel
Jeffrey D. Neighbors
Eric Hu
James E. Dunford
Parish P. Sedghizadeh
Charles E. McKenna
Venkat Srinivasan
Robert K. Boeckman
R. Graham G. Russell
2021 ◽
Vol 225
pp. 113809
Author(s):
Ana Dolšak
Dora Šribar
Alexander Scheffler
Maria Grabowski
Urban Švajger
Stanislav Gobec
Janine Holze
Günther Weindl
Gerhard Wolber
Matej Sova
Author(s):
Hamish S. Sutherland
Guo-Liang Lu
Amy S.T. Tong
Daniel Conole
Scott G. Franzblau
Anna M. Upton
Manisha U. Lotlikar
Christopher B. Cooper
Brian D. Palmer
Peter J. Choi
William A. Denny
2021 ◽
pp. 107697
Author(s):
Seiji Komeda
Hiroki Yoneyama
Masako Uemura
Takahiro Tsuchiya
Miyuu Hoshiyama
Tomoya Sakazaki
Keiichi Hiramoto
Shinya Harusawa
2021 ◽
Vol 12
Author(s):
Yuwei Wang
Yifan Guo
Shaojia Qiang
Ruyi Jin
Zhi Li
Yuping Tang
Elaine Lai Han Leung
Hui Guo
Xiaojun Yao

PGAM1 is overexpressed in a wide range of cancers, thereby promoting cancer cell proliferation and tumor growth, so it is gradually becoming an attractive target. Recently, a series of inhibitors with various structures targeting PGAM1 have been reported, particularly anthraquinone derivatives. In present study, the structure–activity relationships and binding mode of a series of anthraquinone derivatives were probed using three-dimensional quantitative structure–activity relationships (3D-QSAR), molecular docking, and molecular dynamics (MD) simulations. Comparative molecular field analysis (CoMFA, r2 = 0.97, q2 = 0.81) and comparative molecular similarity indices analysis (CoMSIA, r2 = 0.96, q2 = 0.82) techniques were performed to produce 3D-QSAR models, which demonstrated satisfactory results, especially for the good predictive abilities. In addition, molecular dynamics (MD) simulations technology was employed to understand the key residues and the dominated interaction between PGAM1 and inhibitors. The decomposition of binding free energy indicated that the residues of F22, K100, V112, W115, and R116 play a vital role during the ligand binding process. The hydrogen bond analysis showed that R90, W115, and R116 form stable hydrogen bonds with PGAM1 inhibitors. Based on the above results, 7 anthraquinone compounds were designed and exhibited the expected predictive activity. The study explored the structure–activity relationships of anthraquinone compounds through 3D-QSAR and molecular dynamics simulations and provided theoretical guidance for the rational design of new anthraquinone derivatives as PGAM1 inhibitors.

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