Highly accurate protein structure prediction with AlphaFold
Jumper, John +33 · 2021 · Nature
期刊文章
Article
Highly accurate protein structure prediction with AlphaFold
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, … Demis Hassabis
Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort, the structures of around 100,000 unique proteins have been determined, but this represents a small fraction of the billions of known protein sequences.Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known.
单页 连续‹ 1 / 7 ›
研究洞察
研究问题
能否仅凭氨基酸序列，以原子精度预测蛋白质结构——即使没有已知的相似结构？
研究方法
一种深度学习模型，把关于蛋白质结构的物理与生物学知识融入网络设计，并利用多序列比对。
主要贡献
在 CASP14 中，多数情况下的预测精度可与实验结构相当，并大幅领先其他方法。
局限与边界
可用的同源序列很少（比对较浅）时，预测精度明显下降。
Highly accurate protein structure prediction with AlphaFold
Jumper, John +33 · 2021 · Nature
期刊文章
Article
Highly accurate protein structure prediction with AlphaFold
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, … Demis Hassabis
Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort, the structures of around 100,000 unique proteins have been determined, but this represents a small fraction of the billions of known protein sequences.Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known.
单页 连续‹ 1 / 7 ›
研究导师
解释论文，追踪证据，展开领域。
当前论文
Highly accurate protein structure prediction with AlphaFold
1“Through an enormous experimental effort, the structures of around 100,000 unique proteins have been determined, but this represents a small fraction of the billions of known protein sequences.”
2“Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known.”
继续提问
精度是如何衡量的？
哪些证据支持这一结论？
询问关于此论文的问题…
aPaper
所有文献
Highly accurate protein structure prediction with AlphaFold
Highly accurate protein structure prediction for the human proteome
Accurate prediction of protein structures and interactions using a three-track neural network
Evolutionary-scale prediction of atomic-level protein structure with a language model
每日阅读
最近
收藏
ZZotero
项目
蛋白质结构5
知识
设置
知识
朝花夕拾与你正在读的论文相关
Evolutionary-scale prediction of atomic-level protein structure with a language model
发现实验解析的结构只覆盖已知蛋白质序列中的一小部分。Jumper et al. · 2021
问题这篇论文要解决什么缺口？Jumper et al. · 2021
发现即使没有已知的相似结构，预测也能达到原子精度。Jumper et al. · 2021
发现
实验解析的结构只覆盖已知蛋白质序列中的一小部分。
精确证据
“Through an enormous experimental effort, the structures of around 100,000 unique proteins have been determined, but this represents a small fraction of the billions of known protein sequences.”
Jumper et al. · Nature · 2021 在论文中打开
相关知识
即使没有已知的相似结构，预测也能达到原子精度。
这篇论文要解决什么缺口？
研究工作台
main.texreferences.bib 导出项目… 构建文稿
1\documentclass{article}
2\usepackage{natbib}
3\title{Predicted structures at proteome scale}
4\begin{document}
5\maketitle
67\section{Introduction}
8Experiments have resolved around 100,000 unique
9protein structures, a small fraction of the billions
10of known sequences~\cite{jumper2021}. Predicted
11structures now cover nearly the entire human
12proteome~\cite{jumper2021}.
1314\section{Methods}
15We compare predicted and experimental structures
16for every entry in the benchmark set.
1718\bibliographystyle{unsrtnat}
19\bibliography{references}
20\end{document}
预览 · main.pdf
Predicted structures at proteome scale
1 Introduction
Experiments have resolved around 100,000 unique protein structures, a small fraction of the billions of known sequences [1]. Predicted structures now cover nearly the entire human proteome [1].
2 Methods
We compare predicted and experimental structures for every entry in the benchmark set.
References
[1] J. Jumper et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).
Highly accurate protein structure prediction with AlphaFold
Jumper, John +33 · 2021 · Nature
期刊文章
Article
Highly accurate protein structure prediction with AlphaFold
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, … Demis Hassabis
Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort, the structures of around 100,000 unique proteins have been determined, but this represents a small fraction of the billions of known protein sequences.Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known.
Highly accurate protein structure prediction with AlphaFold
Jumper, John +33 · 2021 · Nature
期刊文章
Article
Highly accurate protein structure prediction with AlphaFold
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, … Demis Hassabis
Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort, the structures of around 100,000 unique proteins have been determined, but this represents a small fraction of the billions of known protein sequences.Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known.
单页 连续‹ 1 / 7 ›
研究导师
解释论文，追踪证据，展开领域。
当前论文
Highly accurate protein structure prediction with AlphaFold
1“Through an enormous experimental effort, the structures of around 100,000 unique proteins have been determined, but this represents a small fraction of the billions of known protein sequences.”
2“Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known.”
Highly accurate protein structure prediction with AlphaFold
Highly accurate protein structure prediction for the human proteome
Accurate prediction of protein structures and interactions using a three-track neural network
Evolutionary-scale prediction of atomic-level protein structure with a language model
每日阅读
最近
收藏
ZZotero
项目
蛋白质结构5
知识
设置
知识
朝花夕拾与你正在读的论文相关
Evolutionary-scale prediction of atomic-level protein structure with a language model
发现实验解析的结构只覆盖已知蛋白质序列中的一小部分。Jumper et al. · 2021
问题这篇论文要解决什么缺口？Jumper et al. · 2021
发现即使没有已知的相似结构，预测也能达到原子精度。Jumper et al. · 2021
发现
实验解析的结构只覆盖已知蛋白质序列中的一小部分。
精确证据
“Through an enormous experimental effort, the structures of around 100,000 unique proteins have been determined, but this represents a small fraction of the billions of known protein sequences.”
Jumper et al. · Nature · 2021 在论文中打开
相关知识
即使没有已知的相似结构，预测也能达到原子精度。
这篇论文要解决什么缺口？
06创造研究工作台
把理解，写成自己的研究。
按项目组织稿件，在编辑器中写作，随时构建 PDF 并预览。研究助理在一旁核对与建议；完成后，导出单个文件或整个项目。
研究工作台
main.texreferences.bib 导出项目… 构建文稿
1\documentclass{article}
2\usepackage{natbib}
3\title{Predicted structures at proteome scale}
4\begin{document}
5\maketitle
67\section{Introduction}
8Experiments have resolved around 100,000 unique
9protein structures, a small fraction of the billions
10of known sequences~\cite{jumper2021}. Predicted
11structures now cover nearly the entire human
12proteome~\cite{jumper2021}.
1314\section{Methods}
15We compare predicted and experimental structures
16for every entry in the benchmark set.
1718\bibliographystyle{unsrtnat}
19\bibliography{references}
20\end{document}
预览 · main.pdf
Predicted structures at proteome scale
1 Introduction
Experiments have resolved around 100,000 unique protein structures, a small fraction of the billions of known sequences [1]. Predicted structures now cover nearly the entire human proteome [1].
2 Methods
We compare predicted and experimental structures for every entry in the benchmark set.
References
[1] J. Jumper et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).
