Literature DB >> 30548204

Chemical Space Overlap with Critical Protein-Protein Interface Residues in Commercial and Specialized Small-Molecule Libraries.

Yubing Si1, David Xu2,3, Khuchtumur Bum-Erdene1, Mona K Ghozayel1, Baocheng Yang4, Paul A Clemons5, Samy O Meroueh1,2.   

Abstract

There is growing interest in the use of structure-based virtual screening to identify small molecules that inhibit challenging protein-protein interactions (PPIs). In this study, we investigated how effectively chemical library members docked at the PPI interface mimic the position of critical side-chain residues known as "hot spots". Three compound collections were considered, a commercially available screening collection (ChemDiv), a collection of diversity-oriented synthesis (DOS) compounds that contains natural-product-like small molecules, and a library constructed using established reactions (the "screenable chemical universe based on intuitive data organization", SCUBIDOO). Three different tight PPIs for which hot-spot residues have been identified were selected for analysis: uPAR⋅uPA, TEAD4Yap1, and CaV α⋅CaV β. Analysis of library physicochemical properties was followed by docking to the PPI receptors. A pharmacophore method was used to measure overlap between small-molecule substituents and hot-spot side chains. Fragment-like conformationally restricted small molecules showed better hot-spot overlap for interfaces with well-defined pockets such as uPAR⋅uPA, whereas better overlap was observed for more complex DOS compounds in interfaces lacking a well-defined binding site such as TEAD4Yap1. Virtual screening of conformationally restricted compounds targeting uPAR⋅uPA and TEAD4Yap1 followed by experimental validation reinforce these findings, as the best hits were fragment-like and had few rotatable bonds for the former, while no hits were identified for the latter. Overall, such studies provide a framework for understanding PPIs in the context of additional chemical matter and new PPI definitions.
© 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  compound libraries; computational chemistry; protein-protein interactions; virtual screening

Mesh:

Substances:

Year:  2018        PMID: 30548204      PMCID: PMC7175409          DOI: 10.1002/cmdc.201800537

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  61 in total

1.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

Authors:  Richard A Friesner; Jay L Banks; Robert B Murphy; Thomas A Halgren; Jasna J Klicic; Daniel T Mainz; Matthew P Repasky; Eric H Knoll; Mee Shelley; Jason K Perry; David E Shaw; Perry Francis; Peter S Shenkin
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

2.  Large-scale systematic analysis of 2D fingerprint methods and parameters to improve virtual screening enrichments.

Authors:  Madhavi Sastry; Jeffrey F Lowrie; Steven L Dixon; Woody Sherman
Journal:  J Chem Inf Model       Date:  2010-05-24       Impact factor: 4.956

3.  PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results.

Authors:  Steven L Dixon; Alexander M Smondyrev; Eric H Knoll; Shashidhar N Rao; David E Shaw; Richard A Friesner
Journal:  J Comput Aided Mol Des       Date:  2006-11-24       Impact factor: 3.686

Review 4.  Chemical probes and drug leads from advances in synthetic planning and methodology.

Authors:  Christopher J Gerry; Stuart L Schreiber
Journal:  Nat Rev Drug Discov       Date:  2018-04-13       Impact factor: 84.694

5.  Is synthesis the main hurdle for the generation of diversity in compound libraries for screening?

Authors:  Warren Rjd Galloway; David R Spring
Journal:  Expert Opin Drug Discov       Date:  2009-05       Impact factor: 6.098

6.  An aldol-based build/couple/pair strategy for the synthesis of medium- and large-sized rings: discovery of macrocyclic histone deacetylase inhibitors.

Authors:  Lisa A Marcaurelle; Eamon Comer; Sivaraman Dandapani; Jeremy R Duvall; Baudouin Gerard; Sarathy Kesavan; Maurice D Lee; Haibo Liu; Jason T Lowe; Jean-Charles Marie; Carol A Mulrooney; Bhaumik A Pandya; Ann Rowley; Troy D Ryba; Byung-Chul Suh; Jingqiang Wei; Damian W Young; Lakshmi B Akella; Nathan T Ross; Yan-Ling Zhang; Daniel M Fass; Surya A Reis; Wen-Ning Zhao; Stephen J Haggarty; Michelle Palmer; Michael A Foley
Journal:  J Am Chem Soc       Date:  2010-11-10       Impact factor: 15.419

7.  Structural basis of YAP recognition by TEAD4 in the hippo pathway.

Authors:  Liming Chen; Siew Wee Chan; XiaoQian Zhang; Martin Walsh; Chun Jye Lim; Wanjin Hong; Haiwei Song
Journal:  Genes Dev       Date:  2010-02-01       Impact factor: 11.361

8.  Structural insights into the YAP and TEAD complex.

Authors:  Ze Li; Bin Zhao; Ping Wang; Fei Chen; Zhenghong Dong; Huirong Yang; Kun-Liang Guan; Yanhui Xu
Journal:  Genes Dev       Date:  2010-02-01       Impact factor: 11.361

9.  Fragment-based identification of druggable 'hot spots' of proteins using Fourier domain correlation techniques.

Authors:  Ryan Brenke; Dima Kozakov; Gwo-Yu Chuang; Dmitri Beglov; David Hall; Melissa R Landon; Carla Mattos; Sandor Vajda
Journal:  Bioinformatics       Date:  2009-01-28       Impact factor: 6.937

Review 10.  Drug-Like Protein-Protein Interaction Modulators: Challenges and Opportunities for Drug Discovery and Chemical Biology.

Authors:  Bruno O Villoutreix; Melaine A Kuenemann; Jean-Luc Poyet; Heriberto Bruzzoni-Giovanelli; Céline Labbé; David Lagorce; Olivier Sperandio; Maria A Miteva
Journal:  Mol Inform       Date:  2014-06-02       Impact factor: 3.353

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