Glutathione's Hidden Hand in Protein Assembly Revealed
Researchers found glutathione helps cells make proteins. This could help fight diseases like cancer. Learn what changes for cell health.
#CellBiology, #ProteinFolding, #Glutathione, #DiseaseResearch, #RockefellerUniversity
https://newsletter.tf/glutathione-helps-cells-make-proteins-correctly/
Scientists discovered a new job for glutathione in cells. It's like a supervisor making sure proteins are built right, which is more specific than just being an antioxidant.
#CellBiology, #ProteinFolding, #Glutathione, #DiseaseResearch, #RockefellerUniversity
https://newsletter.tf/glutathione-helps-cells-make-proteins-correctly/
Pipeline release! nf-core/proteinfold v2.0.0 - Montseny Brook Newt!
Protein 3D structure prediction pipeline
Please see the changelog: https://github.com/nf-core/proteinfold/releases/tag/2.0.0
#alphafold2 #colabfold #esmfold #proteinfoldprediction #proteinfolding #proteinsequences #proteinstructure #nfcore #openscience #nextflow #bioinformatics
Pushmeet Kohli (@pushmeet)
Google DeepMind는 AI를 과학의 궁극적 촉매라고 소개하며, 대표 사례로 단백질 구조 예측 데이터베이스인 AlphaFold Database(AFDB)를 제시했습니다. AFDB는 전 세계에서 무료로 제공되며 330만 명이 넘는 연구자들이 활용해 왔다고 언급되어, AI 기반 생명과학 도구의 광범위한 실사용과 영향력을 강조하고 있습니다.
At @GoogleDeepMind, we believe AI is the ultimate catalyst for science. 🧬 The best example of this has been the AlphaFold database (AFDB) of protein structure predictions which has been used free of cost by more than 3.3 millions researchers across the world! Today, in
Demis Hassabis (@demishassabis)
AlphaFold의 흥미로운 활용 사례를 언급하며, 이를 디지털 생물학의 시작으로 평가하는 트윗. 단일 문장으로 AlphaFold 기반 응용의 가능성을 환영하고 향후 디지털 생물학 발전에 대한 기대를 표명함.
From child prodigy to a race to be the one that puts humans in a zoo. Great look into our current trajectory. Who will wield the stick?
https://www.tribecafilm.com/films/thinking-game-2024
#DemisHassabis #AGI #AI #LLM #DeepMind #Google #Geopolitics #ProteinFolding #Science #ThinkingGame #MachineLearning #Energy
The Thinking Game chronicles the extraordinary life of visionary scientist Demis Hassabis and his relentless quest to solve the enigma of artificial general intelligence. After the Premiere Screening: A conversation with CEO and co-founder of Google DeepMind Demis Hassabis, and Director Greg Kohs, moderated by Darren Aronofsky.
AngerTrading (@anger_trading)
AI 에이전트가 단백질 접힘(protein folding)을 다루는 잠재적 카테고리라는 언급과 함께, clarity_protocol(Clarity Protocol)의 $FOLD 프로젝트를 개발 중인 개발자(@333absent333)가 1월 말부터 작업해 왔고 Pumpfun 해커톤에서 운영 중이라는 정보와 사이트 링크를 공유한 트윗입니다.
On Feb 4th @pmarca mentioned AI agents doing protein folding as one of the untapped categories Recently stumbled upon $FOLD @clarity_proto where dev @333absent333 is developing on this since late January and running for the @Pumpfun hackathon Site: https://t.co/CtLuwmQYjt
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