Recognizing Ion Ligand–Binding Residues by Random Forest Algorithm Based on Optimized Dihedral Angle

The prediction of ion ligand–binding residues in protein sequences is a challenging work that contributes to understand the specific functions of proteins in life processes. In this article, we selected binding residues of 14 ion ligands as research objects, including four acid radical ion ligands a...

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Detalles Bibliográficos
Autores principales: Liu, Liu, Hu, Xiuzhen, Feng, Zhenxing, Wang, Shan, Sun, Kai, Xu, Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303464/
https://www.ncbi.nlm.nih.gov/pubmed/32596216
http://dx.doi.org/10.3389/fbioe.2020.00493

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303464/
https://www.ncbi.nlm.nih.gov/pubmed/32596216
http://dx.doi.org/10.3389/fbioe.2020.00493

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