Literature DB >> 28825477

Improved Method for the Identification and Validation of Allosteric Sites.

Kun Song1, Xinyi Liu1, Wenkang Huang1, Shaoyong Lu1, Qiancheng Shen1, Lu Zhang1, Jian Zhang1.   

Abstract

Allosteric regulation induced by modulators binding to different, often distant, allosteric sites allows for exquisite control of protein functional activity. The structural diversity of allosteric sites endows allosteric modulators with high selectivity and low toxicity. Targeting allosteric sites, a novel tactic in drug discovery, has garnered much attention in the scientific community, and the identification of allosteric sites has become an important component of the development of allosteric drugs. Here we present AllositePro, a method which predicts allosteric sites in proteins by combining pocket features with perturbation analysis. The performance of AllositePro is superior to that of the other currently available methods. Using AllositePro, we predicted a novel allosteric site in cyclin-dependent kinase 2 (CDK2) and validated it by site-directed mutagenesis assay. Thus, the AllositePro method provides an effective way to identify allosteric sites and could be a useful strategy for allosteric drug discovery.

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Year:  2017        PMID: 28825477     DOI: 10.1021/acs.jcim.7b00014

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  23 in total

1.  Coupling dynamics and evolutionary information with structure to identify protein regulatory and functional binding sites.

Authors:  Sambit K Mishra; Gaurav Kandoi; Robert L Jernigan
Journal:  Proteins       Date:  2019-06-22

2.  PASSer2.0: Accurate Prediction of Protein Allosteric Sites Through Automated Machine Learning.

Authors:  Sian Xiao; Hao Tian; Peng Tao
Journal:  Front Mol Biosci       Date:  2022-07-11

3.  Structural and Dynamic Effects of PTEN C-Terminal Tail Phosphorylation.

Authors:  Iris N Smith; Jennifer E Dawson; James Krieger; Stetson Thacker; Ivet Bahar; Charis Eng
Journal:  J Chem Inf Model       Date:  2022-08-24       Impact factor: 6.162

Review 4.  Specifics of Metabolite-Protein Interactions and Their Computational Analysis and Prediction.

Authors:  Dirk Walther
Journal:  Methods Mol Biol       Date:  2023

5.  Allosteric Hotspots in the Main Protease of SARS-CoV-2.

Authors:  Léonie Strömich; Nan Wu; Mauricio Barahona; Sophia N Yaliraki
Journal:  J Mol Biol       Date:  2022-07-16       Impact factor: 6.151

6.  AlloSigMA 2: paving the way to designing allosteric effectors and to exploring allosteric effects of mutations.

Authors:  Zhen Wah Tan; Enrico Guarnera; Wei-Ven Tee; Igor N Berezovsky
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

7.  Genetic validation of Aspergillus fumigatus phosphoglucomutase as a viable therapeutic target in invasive aspergillosis.

Authors:  Kaizhou Yan; Mathew Stanley; Bartosz Kowalski; Olawale G Raimi; Andrew T Ferenbach; Pingzhen Wei; Wenxia Fang; Daan M F van Aalten
Journal:  J Biol Chem       Date:  2022-04-30       Impact factor: 5.486

8.  Reversing allosteric communication: From detecting allosteric sites to inducing and tuning targeted allosteric response.

Authors:  Wei-Ven Tee; Enrico Guarnera; Igor N Berezovsky
Journal:  PLoS Comput Biol       Date:  2018-06-18       Impact factor: 4.475

9.  AlloFinder: a strategy for allosteric modulator discovery and allosterome analyses.

Authors:  Min Huang; Kun Song; Xinyi Liu; Shaoyong Lu; Qiancheng Shen; Renxiao Wang; Jingze Gao; Yuanyuan Hong; Qian Li; Duan Ni; Jianrong Xu; Guoqiang Chen; Jian Zhang
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

10.  Unraveling allosteric landscapes of allosterome with ASD.

Authors:  Xinyi Liu; Shaoyong Lu; Kun Song; Qiancheng Shen; Duan Ni; Qian Li; Xinheng He; Hao Zhang; Qi Wang; Yingyi Chen; Xinyi Li; Jing Wu; Chunquan Sheng; Guoqiang Chen; Yaqin Liu; Xuefeng Lu; Jian Zhang
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

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