A Computational Investigation of Small-Molecule Engagement of Hot Spots at Protein-Protein Interaction Interfaces.
A Computational Investigation of Small-Molecule Engagement of Hot Spots at Protein-Protein Interaction Interfaces.
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DOI:
10.1021/acs.jcim.7b00181
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发表时间:
2017-09-25
影响因子:
5.6
通讯作者:
Meroueh SO
中科院分区:
文献类型:
--
作者:
Xu D;Si Y;Meroueh SO
Tight protein-protein interactions (KD < 100 nM) that occur over a large binding interface (> 1,000 Å2) are highly challenging to disrupt with small molecules. Successful inhibition of tight interactions requires not only high-affinity binding to the protein receptor, but also effective mimicry of critical interface residues of the protein ligand. Here, we explore whether small molecules that mimic the interface residues and the binding profile of the native protein ligand can enrich commercial libraries for small-molecule inhibitors of tight protein-protein interactions. We target the high-affinity single-digit nanomolar protein-protein interaction between the urokinase receptor (uPAR) and its serine proteinase ligand urokinase (uPA). We introduce three methods for rank-ordering small molecules docked to uPAR: (i) a new fingerprint approach to identify compounds that mimic the uPA ligand binding profile to uPAR receptor interface residues; (ii) a pharmacophore approach to identify small molecules that mimic the position of uPA interface residues; and (iii) a combined fingerprint and pharmacophore approach. The combined use of uPA ligand mimicry and binding pattern to uPAR receptor interface residues led to small molecules with new chemotypes that inhibited with single-digit micromolar binding affinities and excellent ligand efficiencies. We conducted an analog-by-catalog approach to explore structure-activity relationships. We also report the extensive studies that identified several of the initial hits as either lacking stability, were thiol reactive, or redox active. This work suggests that mimicry of the ligand interface residue and binding pattern can be an effective strategy to overcome limitations of commercial libraries to identify small-molecule starting points for the development of potent inhibitors of tight protein-protein interactions.
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影响因子:
5.6
作者:
Bottger, A;Bottger, V;Lane, DP
通讯作者:
Lane, DP
影响因子:
4.8
作者:
Ding, Jingzhen;Mooers, Blaine H. M.;Lin, Jialing
通讯作者:
Lin, Jialing
影响因子:
3
作者:
Feig, M;Onufriev, A;Brooks, CL
通讯作者:
Brooks, CL
影响因子:
7.3
作者:
Davies, Thomas G.;Wixted, William E.;Kerns, Jeffrey K.
通讯作者:
Kerns, Jeffrey K.
影响因子:
14.9
作者:
UniProt Consortium
通讯作者:
UniProt Consortium