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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Detalles Bibliográficos
Autores principales:	S. M. Mortuza, Wei Zheng, Chengxin Zhang, Yang Li, Robin Pearce, Yang Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/6bdfbc60b2644f0aafce6f98f909b1eb
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id	oai:doaj.org-article:6bdfbc60b2644f0aafce6f98f909b1eb
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spelling	oai:doaj.org-article:6bdfbc60b2644f0aafce6f98f909b1eb2021-12-02T17:08:38ZImproving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions10.1038/s41467-021-25316-w2041-1723https://doaj.org/article/6bdfbc60b2644f0aafce6f98f909b1eb2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25316-whttps://doaj.org/toc/2041-1723Predicting 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.S. M. MortuzaWei ZhengChengxin ZhangYang LiRobin PearceYang ZhangNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q S. M. Mortuza Wei Zheng Chengxin Zhang Yang Li Robin Pearce Yang Zhang Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions
description	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.
format	article
author	S. M. Mortuza Wei Zheng Chengxin Zhang Yang Li Robin Pearce Yang Zhang
author_facet	S. M. Mortuza Wei Zheng Chengxin Zhang Yang Li Robin Pearce Yang Zhang
author_sort	S. M. Mortuza
title	Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions
title_short	Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions
title_full	Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions
title_fullStr	Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions
title_full_unstemmed	Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions
title_sort	improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6bdfbc60b2644f0aafce6f98f909b1eb
work_keys_str_mv	AT smmortuza improvingfragmentbasedabinitioproteinstructureassemblyusinglowaccuracycontactmappredictions AT weizheng improvingfragmentbasedabinitioproteinstructureassemblyusinglowaccuracycontactmappredictions AT chengxinzhang improvingfragmentbasedabinitioproteinstructureassemblyusinglowaccuracycontactmappredictions AT yangli improvingfragmentbasedabinitioproteinstructureassemblyusinglowaccuracycontactmappredictions AT robinpearce improvingfragmentbasedabinitioproteinstructureassemblyusinglowaccuracycontactmappredictions AT yangzhang improvingfragmentbasedabinitioproteinstructureassemblyusinglowaccuracycontactmappredictions
_version_	1718381502770708480

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

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