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For: Chatzigoulas A, Cournia Z. Rational design of allosteric modulators: Challenges and successes. WIREs Comput Mol Sci 2021;11. [DOI: 10.1002/wcms.1529] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 9.0] [Reference Citation Analysis]
Number Citing Articles
1 Nussinov R, Zhang M, Maloney R, Liu Y, Tsai C, Jang H. Allostery: Allosteric Cancer Drivers and Innovative Allosteric Drugs. Journal of Molecular Biology 2022. [DOI: 10.1016/j.jmb.2022.167569] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Ni D, Chai Z, Wang Y, Li M, Yu Z, Liu Y, Lu S, Zhang J. Along the allostery stream: Recent advances in computational methods for allosteric drug discovery. WIREs Comput Mol Sci. [DOI: 10.1002/wcms.1585] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 9.0] [Reference Citation Analysis]
3 Mannes M, Martin C, Menet C, Ballet S. Wandering beyond small molecules: peptides as allosteric protein modulators. Trends Pharmacol Sci 2021:S0165-6147(21)00214-5. [PMID: 34857409 DOI: 10.1016/j.tips.2021.10.011] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Yuan Y, Deng J, Cui Q. Molecular Dynamics Simulations Establish the Molecular Basis for the Broad Allostery Hotspot Distributions in the Tetracycline Repressor. J Am Chem Soc 2022;144:10870-87. [PMID: 35675441 DOI: 10.1021/jacs.2c03275] [Reference Citation Analysis]
5 Chen J, Vishweshwaraiah YL, Dokholyan NV. Design and engineering of allosteric communications in proteins. Curr Opin Struct Biol 2022;73:102334. [PMID: 35180676 DOI: 10.1016/j.sbi.2022.102334] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Chatzigoulas A, Cournia Z. Predicting protein–membrane interfaces of peripheral membrane proteins using ensemble machine learning. Briefings in Bioinformatics. [DOI: 10.1093/bib/bbab518] [Cited by in Crossref: 4] [Article Influence: 4.0] [Reference Citation Analysis]
7 Pei H, Guo W, Peng Y, Xiong H, Chen Y. Targeting key proteins involved in transcriptional regulation for cancer therapy: Current strategies and future prospective. Med Res Rev 2022. [PMID: 35312190 DOI: 10.1002/med.21886] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
8 Avila-barrientos LP, Cofas-vargas LF, Agüero-chapin G, Hernández-garcía E, Ruiz-carmona S, Valdez-cruz NA, Trujillo-roldán M, Weber J, Ruiz-blanco YB, Barril X, García-hernández E. Computational Design of Inhibitors Targeting the Catalytic β Subunit of Escherichia coli FOF1-ATP Synthase. Antibiotics 2022;11:557. [DOI: 10.3390/antibiotics11050557] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]