Literature DB >> 29080471

Structure-based prediction of protein allostery.

Joe G Greener1, Michael Je Sternberg2.   

Abstract

Allostery is the functional change at one site on a protein caused by a change at a distant site. In order for the benefits of allostery to be taken advantage of, both for basic understanding of proteins and to develop new classes of drugs, the structure-based prediction of allosteric binding sites, modulators and communication pathways is necessary. Here we review the recently emerging field of allosteric prediction, focusing mainly on computational methods. We also describe the search for cryptic binding pockets and attempts to design allostery into proteins. The development and adoption of such methods is essential or the long-preached potential of allostery will remain elusive.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2017        PMID: 29080471     DOI: 10.1016/j.sbi.2017.10.002

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  23 in total

Review 1.  Allosteric regulation of CRISPR-Cas9 for DNA-targeting and cleavage.

Authors:  Zhicheng Zuo; Jin Liu
Journal:  Curr Opin Struct Biol       Date:  2020-02-18       Impact factor: 6.809

2.  Identification of Allosteric Effects in Proteins by Elastic Network Models.

Authors:  Guang Hu
Journal:  Methods Mol Biol       Date:  2021

3.  Drug design by machine-trained elastic networks: predicting Ser/Thr-protein kinase inhibitors' activities.

Authors:  Cyrus Ahmadi Toussi; Javad Haddadnia; Chérif F Matta
Journal:  Mol Divers       Date:  2020-03-28       Impact factor: 2.943

Review 4.  Advanced Methods for Accessing Protein Shape-Shifting Present New Therapeutic Opportunities.

Authors:  Catherine R Knoverek; Gaya K Amarasinghe; Gregory R Bowman
Journal:  Trends Biochem Sci       Date:  2018-12-14       Impact factor: 13.807

5.  Distinct allosteric pathways in imidazole glycerol phosphate synthase from yeast and bacteria.

Authors:  Federica Maschietto; Aria Gheeraert; Andrea Piazzi; Victor S Batista; Ivan Rivalta
Journal:  Biophys J       Date:  2021-12-03       Impact factor: 4.033

6.  Sparse group selection and analysis of function-related residue for protein-state recognition.

Authors:  Fangyun Bai; Kin Ming Puk; Jin Liu; Hongyu Zhou; Peng Tao; Wenyong Zhou; Shouyi Wang
Journal:  J Comput Chem       Date:  2022-06-03       Impact factor: 3.672

Review 7.  Recent advances suggest increased influence of selective pressure in allostery.

Authors:  Archana S Bhat; Richard Dustin Schaeffer; Lisa Kinch; Kirill E Medvedev; Nick V Grishin
Journal:  Curr Opin Struct Biol       Date:  2020-04-14       Impact factor: 6.809

Review 8.  Intrinsic dynamics is evolutionarily optimized to enable allosteric behavior.

Authors:  Yan Zhang; Pemra Doruker; Burak Kaynak; She Zhang; James Krieger; Hongchun Li; Ivet Bahar
Journal:  Curr Opin Struct Biol       Date:  2019-11-27       Impact factor: 6.809

9.  AlloMAPS: allosteric mutation analysis and polymorphism of signaling database.

Authors:  Zhen Wah Tan; Wei-Ven Tee; Enrico Guarnera; Lauren Booth; Igor N Berezovsky
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

Review 10.  Selective Modulation of Dynamic Protein Complexes.

Authors:  Julie M Garlick; Anna K Mapp
Journal:  Cell Chem Biol       Date:  2020-08-11       Impact factor: 8.116

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