Literature DB >> 35762723

More is simpler: Decomposition of ligand-binding affinity for proteins being disordered.

Xiaohui Wang1, Bin Chong2, Zhaoxi Sun1, Hao Ruan1, Yingguang Yang3, Pengbo Song1, Zhirong Liu1.   

Abstract

In statistical mechanics, it is well known that the huge number of degrees of freedom does not complicate the problem as it seems, but actually greatly simplifies the analysis (e.g., to give a Boltzmann distribution). Here, we reveal that the ensemble averaging from the vast conformations of intrinsically disordered proteins (IDPs) greatly simplifies the nature of binding affinity, which can be reliably decomposed into a sum of the ligandability of IDP and the capacity of ligand. Such an unexpected regularity is applied to facilitate the virtual screening upon IDPs. It also provides essential insight in understanding the specificity difference between IDPs and conventional ordered proteins since the specificity is caused by deviation from the baseline behavior of protein-ligand binding.
© 2022 The Protein Society.

Entities:  

Keywords:  affinity; druggability; druglikeness; intrinsically disordered proteins; leadlikeness; ligandability; molecular docking; specificity; virtual screening

Mesh:

Substances:

Year:  2022        PMID: 35762723      PMCID: PMC9214758          DOI: 10.1002/pro.4375

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.993


  46 in total

1.  Combining global and local measures for structure-based druggability predictions.

Authors:  Andrea Volkamer; Daniel Kuhn; Thomas Grombacher; Friedrich Rippmann; Matthias Rarey
Journal:  J Chem Inf Model       Date:  2012-01-05       Impact factor: 4.956

2.  Q-SiteFinder: an energy-based method for the prediction of protein-ligand binding sites.

Authors:  Alasdair T R Laurie; Richard M Jackson
Journal:  Bioinformatics       Date:  2005-02-08       Impact factor: 6.937

3.  All-atom structure ensembles of islet amyloid polypeptides determined by enhanced sampling and experiment data restraints.

Authors:  Xinyue Su; Ke Wang; Na Liu; Jiawen Chen; Yong Li; Mojie Duan
Journal:  Proteins       Date:  2019-03-06

4.  New uses for old drugs.

Authors:  Curtis R Chong; David J Sullivan
Journal:  Nature       Date:  2007-08-09       Impact factor: 49.962

5.  Identifying and characterizing binding sites and assessing druggability.

Authors:  Thomas A Halgren
Journal:  J Chem Inf Model       Date:  2009-02       Impact factor: 4.956

Review 6.  Intrinsically disordered proteins and biomolecular condensates as drug targets.

Authors:  Mateusz Biesaga; Marta Frigolé-Vivas; Xavier Salvatella
Journal:  Curr Opin Chem Biol       Date:  2021-03-31       Impact factor: 8.822

7.  Discriminating binding mechanisms of an intrinsically disordered protein via a multi-state coarse-grained model.

Authors:  Michael Knott; Robert B Best
Journal:  J Chem Phys       Date:  2014-05-07       Impact factor: 3.488

8.  Ensemble-Based Thermodynamics of the Fuzzy Binding between Intrinsically Disordered Proteins and Small-Molecule Ligands.

Authors:  Bin Chong; Yingguang Yang; Chenguang Zhou; Qiaojing Huang; Zhirong Liu
Journal:  J Chem Inf Model       Date:  2020-10-14       Impact factor: 4.956

Review 9.  Fuzziness: linking regulation to protein dynamics.

Authors:  Monika Fuxreiter
Journal:  Mol Biosyst       Date:  2011-09-19

Review 10.  Intrinsically disordered proteins in human diseases: introducing the D2 concept.

Authors:  Vladimir N Uversky; Christopher J Oldfield; A Keith Dunker
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

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  1 in total

1.  Comprehensive evaluation of end-point free energy techniques in carboxylated-pillar[6]arene host-guest binding: I. Standard procedure.

Authors:  Xiao Liu; Lei Zheng; Chu Qin; John Z H Zhang; Zhaoxi Sun
Journal:  J Comput Aided Mol Des       Date:  2022-09-22       Impact factor: 4.179

  1 in total

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