The AlphaFold Database of Protein Structures: A Biologist's Guide.

The AlphaFold Database of Protein Structures: A Biologist's Guide.
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DOI:
10.1016/j.jmb.2021.167336
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发表时间:
2022-01-30
影响因子:
5.6
通讯作者:
Sternberg MJE
Sternberg MJE
中科院分区:
生物学2区
文献类型:
--
作者:
David A;Islam S;Tankhilevich E;Sternberg MJE

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AlphaFold发布了人类蛋白质组的三维模型(3D)。准确和不好建模的区域可能存在于单个AlphaFold模型中。讨论了AlphaFold模型的优点、局限性和未解决的挑战。由DeepMind开发的深度学习算法AlphaFold最近向科学界发布了整个人类蛋白质组的三维模型。在这里,我们从生物学家的角度讨论了AlphaFold模型的优势,局限性和尚未解决的挑战,这些生物学家可能不是结构生物学专家。
AlphaFold, released the three-dimensional models (3D) of the human proteome. Accurately and poorly modelled regions may be present within a single AlphaFold model. The advantages, limitations and unsolved challenges of AlphaFold models are discussed. AlphaFold, the deep learning algorithm developed by DeepMind, recently released the three-dimensional models of the whole human proteome to the scientific community. Here we discuss the advantages, limitations and the still unsolved challenges of the AlphaFold models from the perspective of a biologist, who may not be an expert in structural biology.
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