Highly accurate protein structure prediction with AlphaFold
Jumper, John +33 · 2021 · Nature
学術論文
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
学術論文
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.
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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.”
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すべての論文
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
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ZZotero
プロジェクト
タンパク質構造5
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Recall読んでいる論文に関連
Evolutionary-scale prediction of atomic-level protein structure with a language model
発見実験で解かれた構造は、既知のタンパク質配列のごく一部にすぎない。Jumper et al. · 2021
質問この論文はどんな課題に取り組んでいますか？Jumper et al. · 2021
発見類似構造が知られていなくても、予測は原子レベルの精度に達する。Jumper et al. · 2021
発見
実験で解かれた構造は、既知のタンパク質配列のごく一部にすぎない。
正確な証拠
“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 論文内で開く
関連知識
類似構造が知られていなくても、予測は原子レベルの精度に達する。
この論文はどんな課題に取り組んでいますか？
研究ワークベンチ
main.texreferences.bib プロジェクトを書き出す… 原稿をビルド
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}
プレビュー · 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
学術論文
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
学術論文
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.
単ページ 連続‹ 1 / 7 ›
メンター
論文を説明し、証拠をたどり、分野を開く。
現在の論文
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
日々の研究
最近
お気に入り
ZZotero
プロジェクト
タンパク質構造5
知識
設定
知識
Recall読んでいる論文に関連
Evolutionary-scale prediction of atomic-level protein structure with a language model
発見実験で解かれた構造は、既知のタンパク質配列のごく一部にすぎない。Jumper et al. · 2021
質問この論文はどんな課題に取り組んでいますか？Jumper et al. · 2021
発見類似構造が知られていなくても、予測は原子レベルの精度に達する。Jumper et al. · 2021
発見
実験で解かれた構造は、既知のタンパク質配列のごく一部にすぎない。
正確な証拠
“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.”
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}
プレビュー · 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).
