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.
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研究洞察
研究問題
能否僅憑胺基酸序列，以原子精度預測蛋白質結構——即使沒有已知的相似結構？
研究方法
一種深度學習模型，把關於蛋白質結構的物理與生物學知識融入網路設計，並利用多序列比對。
主要貢獻
在 CASP14 中，多數情況下的預測精度可與實驗結構相當，並大幅領先其他方法。
局限與邊界
可用的同源序列很少（比對較淺）時，預測精度明顯下降。
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.
單頁 連續‹ 1 / 7 ›
研究導師
解釋論文，追蹤證據，展開領域。
目前論文
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.”
繼續提問
精度是如何衡量的？
哪些證據支持這個結論？
詢問關於此論文的問題…
aPaper
所有文獻
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
每日閱讀
最近
收藏
ZZotero
專案
蛋白質結構5
知識
設定
知識
朝花夕拾與你正在讀的論文相關
Evolutionary-scale prediction of atomic-level protein structure with a language model
發現實驗解析的結構只涵蓋已知蛋白質序列中的一小部分。Jumper et al. · 2021
問題這篇論文要解決什麼缺口？Jumper et al. · 2021
發現即使沒有已知的相似結構，預測也能達到原子精度。Jumper et al. · 2021
發現
實驗解析的結構只涵蓋已知蛋白質序列中的一小部分。
精確證據
“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 在論文中打開
相關知識
即使沒有已知的相似結構，預測也能達到原子精度。
這篇論文要解決什麼缺口？
研究工作台
main.texreferences.bib 匯出專案… 建置文稿
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}
預覽 · 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.
單頁 連續‹ 1 / 7 ›
研究導師
解釋論文，追蹤證據，展開領域。
目前論文
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
每日閱讀
最近
收藏
ZZotero
專案
蛋白質結構5
知識
設定
知識
朝花夕拾與你正在讀的論文相關
Evolutionary-scale prediction of atomic-level protein structure with a language model
發現實驗解析的結構只涵蓋已知蛋白質序列中的一小部分。Jumper et al. · 2021
問題這篇論文要解決什麼缺口？Jumper et al. · 2021
發現即使沒有已知的相似結構，預測也能達到原子精度。Jumper et al. · 2021
發現
實驗解析的結構只涵蓋已知蛋白質序列中的一小部分。
精確證據
“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 在論文中打開
相關知識
即使沒有已知的相似結構，預測也能達到原子精度。
這篇論文要解決什麼缺口？
06創造研究工作台
把理解，寫成自己的研究。
按專案組織稿件，在編輯器中寫作，隨時建置 PDF 並預覽。研究助理在一旁核對與建議；完成後，匯出單一檔案或整個專案。
研究工作台
main.texreferences.bib 匯出專案… 建置文稿
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}
預覽 · 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).
