Query-guided protein-protein interaction inhibitor discovery.
Query-guided protein-protein interaction inhibitor discovery.
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查询引导的蛋白质 - 蛋白质相互作用抑制剂发现。
DOI:
10.1039/d1sc00023c
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发表时间:
2021-03-02
期刊:
影响因子:
8.4
通讯作者:
Wilson AJ
中科院分区:
文献类型:
--
作者:
Celis S;Hobor F;James T;Bartlett GJ;Ibarra AA;Shoemark DK;Hegedüs Z;Hetherington K;Woolfson DN;Sessions RB;Edwards TA;Andrews DM;Nelson A;Wilson AJ
Protein–protein interactions (PPIs) are central to biological mechanisms, and can serve as compelling targets for drug discovery. Yet, the discovery of small molecule inhibitors of PPIs remains challenging given the large and typically shallow topography of the interacting protein surfaces. Here, we describe a general approach to the discovery of orthosteric PPI inhibitors that mimic specific secondary protein structures. Initially, hot residues at protein–protein interfaces are identified in silico or from experimental data, and incorporated into secondary structure-based queries. Virtual libraries of small molecules are then shape-matched against the queries, and promising ligands docked to target proteins. The approach is exemplified experimentally using two unrelated PPIs that are mediated by an α-helix (p53/hDM2) and a β-strand (GKAP/SHANK1-PDZ). In each case, selective PPI inhibitors are discovered with low μM activity as determined by a combination of fluorescence anisotropy and 1H–15N HSQC experiments. In addition, hit expansion yields a series of PPI inhibitors with defined structure–activity relationships. It is envisaged that the generality of the approach will enable discovery of inhibitors of a wide range of unrelated secondary structure-mediated PPIs. Small-molecule protein–protein interaction inhibitors were prioritised on the basis of shape similarity to secondary structure-based queries incorporating hot-spot residues.
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DOI:
10.1002/anie.201410810
发表时间:
2015-03-02
期刊:
Angewandte Chemie (International ed. in English)
影响因子:
--
作者:
Barnard A;Long K;Martin HL;Miles JA;Edwards TA;Tomlinson DC;Macdonald A;Wilson AJ
通讯作者:
Wilson AJ
影响因子:
15
作者:
Hoggard, Logan R.;Zhang, Yongqiang;Ji, Haitao
通讯作者:
Ji, Haitao
影响因子:
7.3
作者:
Hawkins, Paul C. D.;Skillman, A. Geoffrey;Nicholls, Anthony
通讯作者:
Nicholls, Anthony
影响因子:
--
作者:
Arkin MR;Tang Y;Wells JA
通讯作者:
Wells JA
DOI:
10.1021/ci9803381
发表时间:
1999-07-01
期刊:
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
影响因子:
--
作者:
Butina, D
通讯作者:
Butina, D