DMCTOP: Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8965270/8982928/08982958.pdf?arnumber=8982958
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Probing Transmembrane Proteins Binding Domain via Multi-level Molecule Learning;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05
2. The Relative Distance Prediction of Transmembrane Protein Surface Residue Based on Improved Residual Networks;Mathematics;2023-01-27
3. Improving the topology prediction of α-helical transmembrane proteins with deep transfer learning;Computational and Structural Biotechnology Journal;2022
4. Discover the Binding Domain of Transmembrane Proteins Based on Structural Universality;2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2021-12-09
5. TMPSS: A Deep Learning-Based Predictor for Secondary Structure and Topology Structure Prediction of Alpha-Helical Transmembrane Proteins;Frontiers in Bioengineering and Biotechnology;2021-01-25
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