TMPSS: A Deep Learning-Based Predictor for Secondary Structure and Topology Structure Prediction of Alpha-Helical Transmembrane Proteins

TMPSS: A Deep Learning-Based Predictor for Secondary Structure and Topology Structure Prediction of Alpha-Helical Transmembrane Proteins

Alpha transmembrane proteins (αTMPs) profoundly affect many critical biological processes and are major drug targets due to their pivotal protein functions. At present, even though the non-transmembrane secondary structures are highly relevant to the biological functions of αTMPs along with their tr...

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Bibliographic Details
Main Authors: Zhe Liu, Yingli Gong, Yihang Bao, Yuanzhao Guo, Han Wang, Guan Ning Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
protein secondary structure
protein topology structure
deep learning
alpha-helical transmembrane proteins
long short-term memory networks
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2020.629937/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2020.629937/full

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