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Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning
Interactions between transmembrane (TM) proteins are fundamental for a wide spectrum of cellular functions, but precise molecular details of these interactions remain largely unknown due to the scarcity of experimentally determined three-dimensional complex structures. Computational techniques are t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985279/ https://www.ncbi.nlm.nih.gov/pubmed/33815689 http://dx.doi.org/10.1016/j.csbj.2021.03.005 |