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Elucidation of protein function using computational docking and hotspot analysis by ClusPro and FTMap

Starting with a crystal structure of a macromolecule, computational structural modeling can help to understand the associated biological processes, structure and function, as well as to reduce the number of further experiments required to characterize a given molecular entity. In the past decade, tw...

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Detalles Bibliográficos
Autores principales: Jones, George, Jindal, Akhil, Ghani, Usman, Kotelnikov, Sergei, Egbert, Megan, Hashemi, Nasser, Vajda, Sandor, Padhorny, Dzmitry, Kozakov, Dima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159284/
https://www.ncbi.nlm.nih.gov/pubmed/35647916
http://dx.doi.org/10.1107/S2059798322002741
Descripción
Sumario:Starting with a crystal structure of a macromolecule, computational structural modeling can help to understand the associated biological processes, structure and function, as well as to reduce the number of further experiments required to characterize a given molecular entity. In the past decade, two classes of powerful automated tools for investigating the binding properties of proteins have been developed: the protein–protein docking program ClusPro and the FTMap and FTSite programs for protein hotspot identification. These methods have been widely used by the research community by means of publicly available online servers, and models built using these automated tools have been reported in a large number of publications. Importantly, additional experimental information can be leveraged to further improve the predictive power of these approaches. Here, an overview of the methods and their biological applications is provided together with a brief interpretation of the results.