LM-GVP: an extensible sequence and structure informed deep learning framework for protein property prediction

Proteins perform many essential functions in biological systems and can be successfully developed as bio-therapeutics. It is invaluable to be able to predict their properties based on a proposed sequence and structure. In this study, we developed a novel generalizable deep learning framework, LM-GVP...

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Detalles Bibliográficos
Autores principales: Wang, Zichen, Combs, Steven A., Brand, Ryan, Calvo, Miguel Romero, Xu, Panpan, Price, George, Golovach, Nataliya, Salawu, Emmanuel O., Wise, Colby J., Ponnapalli, Sri Priya, Clark, Peter M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046255/
https://www.ncbi.nlm.nih.gov/pubmed/35477726
http://dx.doi.org/10.1038/s41598-022-10775-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046255/
https://www.ncbi.nlm.nih.gov/pubmed/35477726
http://dx.doi.org/10.1038/s41598-022-10775-y

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