RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
RT @torusengoku: これはすごい https://t.co/1chVTLLYbB 全残基の 58%についてそれなりの信頼度 36%についてかなりの信頼度
RT @4TotDtXKek2lkfV: AlphaFoldにより、様々な生物の合計1億3000万種類の蛋白質の立体構造がデータベース化! 実験でわかっていたヒト蛋白質の構造は17%だったが、本研究は98.5%まで拡張(高精度予測に限っても36%まで拡張)。 AlphaFo…
RT @4TotDtXKek2lkfV: AlphaFoldにより、様々な生物の合計1億3000万種類の蛋白質の立体構造がデータベース化! 実験でわかっていたヒト蛋白質の構造は17%だったが、本研究は98.5%まで拡張(高精度予測に限っても36%まで拡張)。 AlphaFo…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @torusengoku: これはすごい https://t.co/1chVTLLYbB 全残基の 58%についてそれなりの信頼度 36%についてかなりの信頼度
RT @4TotDtXKek2lkfV: AlphaFoldにより、様々な生物の合計1億3000万種類の蛋白質の立体構造がデータベース化! 実験でわかっていたヒト蛋白質の構造は17%だったが、本研究は98.5%まで拡張(高精度予測に限っても36%まで拡張)。 AlphaFo…
RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
RT @emeKato: 話に聞いていたhuman proteome (ヒトの98.5%のタンパク質構造予測)の構造予測論文が出たみたいです。(EMBL-EBIと一緒の仕事。)ただ、databaseは落ちてるみたいですね(?) https://t.co/fmpA3ZjDg4
RT @LyssiotisLab: Computational determination of structures for 98.5% of the human proteome?! 🤯🤯 https://t.co/0dwpSv3O09
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @mvicaracal: Online at @nature; "Highly accurate protein structure prediction for the human proteome" from @DeepMind @emblebi https://t.…
RT @4TotDtXKek2lkfV: AlphaFoldにより、様々な生物の合計1億3000万種類の蛋白質の立体構造がデータベース化! 実験でわかっていたヒト蛋白質の構造は17%だったが、本研究は98.5%まで拡張(高精度予測に限っても36%まで拡張)。 AlphaFo…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
Interesting 😲
RT @4TotDtXKek2lkfV: AlphaFoldにより、様々な生物の合計1億3000万種類の蛋白質の立体構造がデータベース化! 実験でわかっていたヒト蛋白質の構造は17%だったが、本研究は98.5%まで拡張(高精度予測に限っても36%まで拡張)。 AlphaFo…
Uh, this seems extremely important. Using machine learning, scientists have figured out how to predict an expanded set of the human genome with a high confidence interval.
RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
Highly accurate protein structure prediction for the human proteome https://t.co/aJrZc4oZrY
Wow.
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
RT @BarbMarte: new out in Nature. This is massive: https://t.co/WmboZz0TJH
RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
🤩🤩🤩🤩🤩
RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
RT @NaturePortfolio: A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of…
A @Nature paper describes the production of accurate structure predictions of the human proteome, the complete set of proteins encoded by the human genome, using AlphaFold. https://t.co/CEytdfWBGT https://t.co/C3OOQHxa13
RT @4TotDtXKek2lkfV: AlphaFoldにより、様々な生物の合計1億3000万種類の蛋白質の立体構造がデータベース化! 実験でわかっていたヒト蛋白質の構造は17%だったが、本研究は98.5%まで拡張(高精度予測に限っても36%まで拡張)。 AlphaFo…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @radhadesai: Highly accurate protein structure prediction for the human proteome | Nature #breakthrough !! https://t.co/mNhB8InobK
RT @emeKato: 話に聞いていたhuman proteome (ヒトの98.5%のタンパク質構造予測)の構造予測論文が出たみたいです。(EMBL-EBIと一緒の仕事。)ただ、databaseは落ちてるみたいですね(?) https://t.co/fmpA3ZjDg4
RT @4TotDtXKek2lkfV: AlphaFoldにより、様々な生物の合計1億3000万種類の蛋白質の立体構造がデータベース化! 実験でわかっていたヒト蛋白質の構造は17%だったが、本研究は98.5%まで拡張(高精度予測に限っても36%まで拡張)。 AlphaFo…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @emeKato: 話に聞いていたhuman proteome (ヒトの98.5%のタンパク質構造予測)の構造予測論文が出たみたいです。(EMBL-EBIと一緒の仕事。)ただ、databaseは落ちてるみたいですね(?) https://t.co/fmpA3ZjDg4
RT @emeKato: 話に聞いていたhuman proteome (ヒトの98.5%のタンパク質構造予測)の構造予測論文が出たみたいです。(EMBL-EBIと一緒の仕事。)ただ、databaseは落ちてるみたいですね(?) https://t.co/fmpA3ZjDg4
RT @StearnsLab: This is astounding. Enter your protein (human and some other organisms) and get predetermined structures predicted by Alpha…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @emeKato: 話に聞いていたhuman proteome (ヒトの98.5%のタンパク質構造予測)の構造予測論文が出たみたいです。(EMBL-EBIと一緒の仕事。)ただ、databaseは落ちてるみたいですね(?) https://t.co/fmpA3ZjDg4
RT @emeKato: 話に聞いていたhuman proteome (ヒトの98.5%のタンパク質構造予測)の構造予測論文が出たみたいです。(EMBL-EBIと一緒の仕事。)ただ、databaseは落ちてるみたいですね(?) https://t.co/fmpA3ZjDg4
もうむちゃくちゃやー!
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @4TotDtXKek2lkfV: AlphaFoldにより、様々な生物の合計1億3000万種類の蛋白質の立体構造がデータベース化! 実験でわかっていたヒト蛋白質の構造は17%だったが、本研究は98.5%まで拡張(高精度予測に限っても36%まで拡張)。 AlphaFo…
RT @torusengoku: これはすごい https://t.co/1chVTLLYbB 全残基の 58%についてそれなりの信頼度 36%についてかなりの信頼度
RT @npariente: The structural revolution - applying AlphaFold structural prediction to the entire human proteome (and depositing the outcom…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @4TotDtXKek2lkfV: AlphaFoldにより、様々な生物の合計1億3000万種類の蛋白質の立体構造がデータベース化! 実験でわかっていたヒト蛋白質の構造は17%だったが、本研究は98.5%まで拡張(高精度予測に限っても36%まで拡張)。 AlphaFo…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
An absolute revolution in computational chemistry / biology: https://t.co/oebgQRaBSp
https://t.co/AsqDJZbE3M Highly accurate protein structure prediction for the human proteome
RT @StearnsLab: This is astounding. Enter your protein (human and some other organisms) and get predetermined structures predicted by Alpha…
RT @4TotDtXKek2lkfV: AlphaFoldにより、様々な生物の合計1億3000万種類の蛋白質の立体構造がデータベース化! 実験でわかっていたヒト蛋白質の構造は17%だったが、本研究は98.5%まで拡張(高精度予測に限っても36%まで拡張)。 AlphaFo…
RT @amjjbonvin: For those of you playing with @DeepMind #alphafold2 - check the site that just went life at the @emblebi @PDBeurope - http…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @4TotDtXKek2lkfV: AlphaFoldにより、様々な生物の合計1億3000万種類の蛋白質の立体構造がデータベース化! 実験でわかっていたヒト蛋白質の構造は17%だったが、本研究は98.5%まで拡張(高精度予測に限っても36%まで拡張)。 AlphaFo…
RT @torusengoku: これはすごい https://t.co/1chVTLLYbB 全残基の 58%についてそれなりの信頼度 36%についてかなりの信頼度
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
The structural revolution - applying AlphaFold structural prediction to the entire human proteome (and depositing the outcome openly at the @emblebi) @nature @DeepMind https://t.co/Oed9eWEYKo
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
The future is here and it looks sweet!
RT @torusengoku: これはすごい https://t.co/1chVTLLYbB 全残基の 58%についてそれなりの信頼度 36%についてかなりの信頼度
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
Uno de los grandes hallazgos de la #InteligenciaArtificial que revolucionará la medicina. Alphafold ya está aquí
RT @amjjbonvin: For those of you playing with @DeepMind #alphafold2 - check the site that just went life at the @emblebi @PDBeurope - http…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @tfgg2: Really proud to announce that, following last week, we have more! Our predictions for the human proteome and 19 otheres are now…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @aginghighlights: Highly accurate protein structure prediction for the human proteome https://t.co/HdopsSUSST
What a remarkable contribution! @Nature @DeepMind https://t.co/TB3F47di5J
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
RT @EricTopol: One of the most important advances in the history of life science today combines deep learning #AI, the human proteome, #ope…
Nature paper by the AlphaFold team, discussing the human protein predictions https://t.co/hXaYb5g3bU
A very significant step forward!