Latest updates for Alphafold

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Recent items include:

  • New protein-folding AI vastly expands on Alphafold's efforts
  • Experiment-guided AlphaFold captures protein motion
  • ノーベル化学賞のジョン・ジャンパー氏、Google DeepMindからAnthropicへ──「AlphaFold」開発の立役者

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scientificamerican.com /1 month ago

New protein-folding AI vastly expands on Alphafold's efforts

The new open-source atlas, generated by an AI tool called ESMFold2, vastly increases the known protein universe

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nanowerk.com /2 weeks ago

Experiment-guided AlphaFold captures protein motion

A new approach guides AlphaFold with experimental data, helping it predict flexible protein shape ensembles instead of single static structures.

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itmedia.co.jp /3 weeks ago

ノーベル化学賞のジョン・ジャンパー氏、Google DeepMindからAnthropicへ──「AlphaFold」開発の立役者

Google DeepMindで「AlphaFold」の開発を主導し、デミス・ハサビスCEOと共にノーベル化学賞を受賞したジョン・ジャンパー氏が、Anthropicに移ると自身のXで明らかにした。直近では「Gemini」を...

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lifespan.io /1 month ago

A Better Algorithm for Predicting How Cells Behave

In a preprint published in arXiv, researchers from Altos Labs have described a machine learning algorithm that performs end-to-end prediction of how cells’ gene expression will res...

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pandaily.com /1 month ago

Deep Principle Launches MPA, a 'Materials AlphaFold' Achieving SOTA on 40 Industrial Tasks

Deep Principle released MPA (Materials Property Axiom), an AI foundation model for materials science that achieves state-of-the-art results on 40 real-world industrial tasks by bor...

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journals.plos.org /6 days ago

Mind the gap: An embedding guide to safely travel in sequence space

by Adam Wu, Jakub Lála, Quentin Trolliet, Abhinav Rajendran, Stefano Angioletti-Uberti We present a hybrid approach combining a protein language model (pLM) with Monte Carlo (MC)...

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journals.plos.org /1 month ago

Heuristic multi-site optimization for protein sequence design using Masked Protein Language Models

by Lijuan Wang, Yuze Wang, Chen Qiu, Liwei Xiao, Xianliang Liu, Junjie Chen Protein sequence design for tailored functional properties is a fundamental task in protein engineering...

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cloud.google.com /2 weeks ago

How Schrödinger sped up molecular discovery by 4x with Alphaevolve

Computational chemistry researchers have traditionally faced a frustrating trade-off when simulating molecular interactions: use fast classical force fields that sacrifice precisio...

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techmeme.com /3 weeks ago

John Jumper, who won the Nobel Prize "for protein structure prediction", says he is leaving Google DeepMind after nearly...

John Jumper / @johnjumpersci: John Jumper, who won the Nobel Prize “for protein structure prediction”, says he is leaving Google DeepMind after nearly nine years to join Anthropic ...

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journals.plos.org /3 weeks ago

TCRBinder: Unified pre-trained language model with paired-chain synergy for predicting T-cell receptor binding specifici...

by Weihe Dong, Qiang Yang, Long Xu, Xiaokun Li, Kuanquan Wang, Suyu Dong, Gongning Luo, Xianyu Zhang, Tiansong Yang, Xin Gao, Guohua Wang Deciphering how human T cells recognise p...

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lifespan.io

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