Improving the topology prediction of α-helical transmembrane proteins with deep transfer learning

Transmembrane proteins (TMPs) are essential for cell recognition and communication, and they serve as important drug targets in humans. Transmembrane proteins' 3D structures are critical for determining their functions and drug design but are hard to determine even by experimental methods. Alth...

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Detalles Bibliográficos
Autores principales: Wang, Lei, Zhong, Haolin, Xue, Zhidong, Wang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9062415/
https://www.ncbi.nlm.nih.gov/pubmed/35521551
http://dx.doi.org/10.1016/j.csbj.2022.04.024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9062415/
https://www.ncbi.nlm.nih.gov/pubmed/35521551
http://dx.doi.org/10.1016/j.csbj.2022.04.024

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