Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions

Predicting protein structure from sequence is still not possible for all proteins. Here, the authors introduce a method that integrates deep learning and information about protein co-evolution to guide the prediction of non-homologous protein structures with greater accuracy.

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Autores principales: S. M. Mortuza, Wei Zheng, Chengxin Zhang, Yang Li, Robin Pearce, Yang Zhang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/6bdfbc60b2644f0aafce6f98f909b1eb
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