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

Allostery is a fundamental process in regulating protein activities. The discovery, design, and development of allosteric drugs demand better identification of allosteric sites. Several computational methods have been developed previously to predict allosteric sites using static pocket features and...

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Detalles Bibliográficos
Autores principales: Xiao, Sian, Tian, Hao, Tao, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309527/
https://www.ncbi.nlm.nih.gov/pubmed/35898310
http://dx.doi.org/10.3389/fmolb.2022.879251

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309527/
https://www.ncbi.nlm.nih.gov/pubmed/35898310
http://dx.doi.org/10.3389/fmolb.2022.879251

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