Literature DB >> 33759121

Binding Mode Prediction and Virtual Screening Applications by Covalent Docking.

Andrea Scarpino1, György G Ferenczy1, György M Keserű2.   

Abstract

The mechanism of action of covalent drugs involves the formation of a bond between their electrophilic warhead group and a nucleophilic residue of the protein target. The recent advances in covalent drug discovery have accelerated the development of computational tools for the design and characterization of covalent binders. Covalent docking algorithms can predict the binding mode of covalent ligands by modeling the bonds and interactions formed at the reaction site. Their scoring functions can estimate the relative binding affinity of ligands towards the target of interest, thus allowing virtual screening of compound libraries. However, most of the scoring schemes have no specific terms for the bond formation, and therefore it prevents the direct comparison of warheads with different intrinsic reactivity. Herein, we describe a protocol for the binding mode prediction of covalent ligands, a typical virtual screening of compound sets with a single warhead chemistry, and an alternative approach to screen libraries that include various warhead types, as applied in recently validated studies.

Keywords:  Binding mode prediction; Covalent docking; Reactivity; Targeted covalent inhibitors; Virtual screening; Warhead

Mesh:

Substances:

Year:  2021        PMID: 33759121     DOI: 10.1007/978-1-0716-1209-5_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  13 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Docking Screens for Novel Ligands Conferring New Biology.

Authors:  John J Irwin; Brian K Shoichet
Journal:  J Med Chem       Date:  2016-03-15       Impact factor: 7.446

3.  New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries and for their exclusion in bioassays.

Authors:  Jonathan B Baell; Georgina A Holloway
Journal:  J Med Chem       Date:  2010-04-08       Impact factor: 7.446

Review 4.  Drugging the undruggable RAS: Mission possible?

Authors:  Adrienne D Cox; Stephen W Fesik; Alec C Kimmelman; Ji Luo; Channing J Der
Journal:  Nat Rev Drug Discov       Date:  2014-10-17       Impact factor: 84.694

5.  Docking covalent inhibitors: a parameter free approach to pose prediction and scoring.

Authors:  Kai Zhu; Kenneth W Borrelli; Jeremy R Greenwood; Tyler Day; Robert Abel; Ramy S Farid; Edward Harder
Journal:  J Chem Inf Model       Date:  2014-06-26       Impact factor: 4.956

6.  Mechanism of conductivity of bimolecular lipid membranes in the presence of tetrachlorotrifluoromethylbenzimidazole.

Authors:  M P Borisova; L N Ermishkin; E A Liberman; A Y Silberstein; E M Trofimov
Journal:  J Membr Biol       Date:  1974       Impact factor: 1.843

7.  Beyond picomolar affinities: quantitative aspects of noncovalent and covalent binding of drugs to proteins.

Authors:  Adam J T Smith; Xiyun Zhang; Andrew G Leach; K N Houk
Journal:  J Med Chem       Date:  2009-01-22       Impact factor: 7.446

8.  Reversible emetine-induced myopathy with ECG abnormalities: a toxic myopathy.

Authors:  T Kuntzer; J Bogousslavsky; J P Deruaz; R Janzer; F Regli
Journal:  J Neurol       Date:  1989-05       Impact factor: 4.849

9.  Comparative Evaluation of Covalent Docking Tools.

Authors:  Andrea Scarpino; György G Ferenczy; György M Keserű
Journal:  J Chem Inf Model       Date:  2018-06-22       Impact factor: 4.956

10.  PubChem Substance and Compound databases.

Authors:  Sunghwan Kim; Paul A Thiessen; Evan E Bolton; Jie Chen; Gang Fu; Asta Gindulyte; Lianyi Han; Jane He; Siqian He; Benjamin A Shoemaker; Jiyao Wang; Bo Yu; Jian Zhang; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2015-09-22       Impact factor: 16.971

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  1 in total

Review 1.  Photopharmacology of Ion Channels through the Light of the Computational Microscope.

Authors:  Alba Nin-Hill; Nicolas Pierre Friedrich Mueller; Carla Molteni; Carme Rovira; Mercedes Alfonso-Prieto
Journal:  Int J Mol Sci       Date:  2021-11-08       Impact factor: 5.923

  1 in total

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