TechHub

UK<a href="https://www.europesays.com/uk/223892/" rel="nofollow noopener" translate="no" target="_blank">https://www.europesays.com/uk/223892/</a> Rationale engineering generates a compact new tool for gene therapy | MIT News <a href="https://pubeurope.com/tags/AdenoAssociatedVirus" class="mention hashtag" rel="nofollow noopener" target="_blank">#AdenoAssociatedVirus</a>(AAV) <a href="https://pubeurope.com/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> <a href="https://pubeurope.com/tags/crispr" class="mention hashtag" rel="nofollow noopener" target="_blank">#crispr</a> <a href="https://pubeurope.com/tags/FengZhang" class="mention hashtag" rel="nofollow noopener" target="_blank">#FengZhang</a> <a href="https://pubeurope.com/tags/Genetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Genetics</a> <a href="https://pubeurope.com/tags/GenomeEditing" class="mention hashtag" rel="nofollow noopener" target="_blank">#GenomeEditing</a> <a href="https://pubeurope.com/tags/HanAltaeTran" class="mention hashtag" rel="nofollow noopener" target="_blank">#HanAltaeTran</a> <a href="https://pubeurope.com/tags/HowardHughesMedicalInstitute" class="mention hashtag" rel="nofollow noopener" target="_blank">#HowardHughesMedicalInstitute</a>(HHMI) <a href="https://pubeurope.com/tags/IscBs" class="mention hashtag" rel="nofollow noopener" target="_blank">#IscBs</a> <a href="https://pubeurope.com/tags/MITBrainAndCognitiveSciences" class="mention hashtag" rel="nofollow noopener" target="_blank">#MITBrainAndCognitiveSciences</a> <a href="https://pubeurope.com/tags/MITBroadInstitute" class="mention hashtag" rel="nofollow noopener" target="_blank">#MITBroadInstitute</a> <a href="https://pubeurope.com/tags/MITMcgovernInstitute" class="mention hashtag" rel="nofollow noopener" target="_blank">#MITMcgovernInstitute</a> <a href="https://pubeurope.com/tags/NovaIscB" class="mention hashtag" rel="nofollow noopener" target="_blank">#NovaIscB</a> <a href="https://pubeurope.com/tags/OMEGAoff" class="mention hashtag" rel="nofollow noopener" target="_blank">#OMEGAoff</a> <a href="https://pubeurope.com/tags/RNAGuidedEnzyme" class="mention hashtag" rel="nofollow noopener" target="_blank">#RNAGuidedEnzyme</a> <a href="https://pubeurope.com/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#Science</a> <a href="https://pubeurope.com/tags/ShiyouZhu" class="mention hashtag" rel="nofollow noopener" target="_blank">#ShiyouZhu</a> <a href="https://pubeurope.com/tags/SoumyaKannan" class="mention hashtag" rel="nofollow noopener" target="_blank">#SoumyaKannan</a> <a href="https://pubeurope.com/tags/UK" class="mention hashtag" rel="nofollow noopener" target="_blank">#UK</a> <a href="https://pubeurope.com/tags/UnitedKingdom" class="mention hashtag" rel="nofollow noopener" target="_blank">#UnitedKingdom</a>

eLife🧪 May's most-read <a href="https://fediscience.org/tags/Biochemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#Biochemistry</a> paper used <a href="https://fediscience.org/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> to predict how proteins interact during egg development in fruit flies: <a href="https://elifesciences.org/articles/101967?utm_source=mastodon&utm_medium=social&utm_campaign=submissions_organic&utm_content=top_paper" rel="nofollow noopener" translate="no" target="_blank">https://elifesciences.org/articles/101967?utm_source=mastodon&utm_medium=social&utm_campaign=submissions_organic&utm_content=top_paper</a>Have a paper people should see? See what our Editors look for: <a href="https://elifesciences.org/about/aims-scope?utm_source=mastodon&utm_medium=social&utm_campaign=submissions_organic&utm_content=top_paper#biochemistry-and-chemical-biology" rel="nofollow noopener" translate="no" target="_blank">https://elifesciences.org/about/aims-scope?utm_source=mastodon&utm_medium=social&utm_campaign=submissions_organic&utm_content=top_paper#biochemistry-and-chemical-biology</a>

CSBJ🧩 What happens when we put AlphaFold2’s predictions to the ultimate test—across species and structure types?🔗 Comprehensive assessment of AlphaFold’s predictions of secondary structure and solvent accessibility at the amino acid-level in eukaryotic, bacterial and archaeal proteins. Computational and Structural Biotechnology Journal, DOI: <a href="https://doi.org/10.1016/j.csbj.2025.05.047" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.1016/j.csbj.2025.05.047</a>📚 CSBJ: <a href="https://www.csbj.org/" rel="nofollow noopener" translate="no" target="_blank">https://www.csbj.org/</a><a href="https://mastodon.social/tags/AlphaFold" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold</a> <a href="https://mastodon.social/tags/Bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Bioinformatics</a> <a href="https://mastodon.social/tags/StructuralBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#StructuralBiology</a> <a href="https://mastodon.social/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> <a href="https://mastodon.social/tags/ProteinStructure" class="mention hashtag" rel="nofollow noopener" target="_blank">#ProteinStructure</a> <a href="https://mastodon.social/tags/ProteinPrediction" class="mention hashtag" rel="nofollow noopener" target="_blank">#ProteinPrediction</a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a>

CSBJ🧬 How do AlphaFold2 and ESMFold stack up when it comes to functional annotation?🔗 AlphaFold2 and ESMFold: A large-scale pairwise model comparison of human enzymes upon Pfam functional annotation. Computational and Structural Biotechnology Journal, DOI: <a href="https://doi.org/10.1016/j.csbj.2025.01.008" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.1016/j.csbj.2025.01.008</a>📚 CSBJ: <a href="https://www.csbj.org/" rel="nofollow noopener" translate="no" target="_blank">https://www.csbj.org/</a><a href="https://mastodon.social/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> <a href="https://mastodon.social/tags/ESMFold" class="mention hashtag" rel="nofollow noopener" target="_blank">#ESMFold</a> <a href="https://mastodon.social/tags/AIinScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIinScience</a> <a href="https://mastodon.social/tags/ProteinStructure" class="mention hashtag" rel="nofollow noopener" target="_blank">#ProteinStructure</a> <a href="https://mastodon.social/tags/Enzymes" class="mention hashtag" rel="nofollow noopener" target="_blank">#Enzymes</a> <a href="https://mastodon.social/tags/Pfam" class="mention hashtag" rel="nofollow noopener" target="_blank">#Pfam</a> <a href="https://mastodon.social/tags/UniProt" class="mention hashtag" rel="nofollow noopener" target="_blank">#UniProt</a> <a href="https://mastodon.social/tags/AlphaFold" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold</a> <a href="https://mastodon.social/tags/HumanProteome" class="mention hashtag" rel="nofollow noopener" target="_blank">#HumanProteome</a> <a href="https://mastodon.social/tags/FunctionalAnnotation" class="mention hashtag" rel="nofollow noopener" target="_blank">#FunctionalAnnotation</a> <a href="https://mastodon.social/tags/AIinBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIinBiology</a> <a href="https://mastodon.social/tags/ComputationalBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#ComputationalBiology</a> <a href="https://mastodon.social/tags/FunctionalGenomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#FunctionalGenomics</a>

MCDuncanLabNice study from <a href="https://mstdn.science/@teresa_omeara" class="u-url mention" rel="nofollow noopener" target="_blank">@teresa_omeara</a> & <a href="https://mas.to/@maom" class="u-url mention" rel="nofollow noopener" target="_blank">@maom</a> in <a href="https://biologists.social/@biorxivpreprint" class="u-url mention" rel="nofollow noopener" target="_blank">@biorxivpreprint</a> They used protein prediction to explore the poorly annotated Candida auris genome, and then used protein design to replace endogenous proteins with de novo designed ones.<a href="https://www.biorxiv.org/content/10.1101/2025.05.14.654010v1" rel="nofollow noopener" translate="no" target="_blank">https://www.biorxiv.org/content/10.1101/2025.05.14.654010v1</a><a href="https://mstdn.social/tags/StructuralBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#StructuralBiology</a> <a href="https://mstdn.social/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> <a href="https://mstdn.social/tags/proteinPrediction" class="mention hashtag" rel="nofollow noopener" target="_blank">#proteinPrediction</a>

Socied@d ReticularPequeños y grandes pasos hacia el imperio de la inteligencia artificial<a href="https://mas.to/@echo_xc@mastodon.social/113971286060501063" rel="nofollow noopener" target="_blank"></a>Fuente: Open TechTraducción de la infografía:<ul><li>1943 – McCullock y Pitts publican un artículo titulado Un cálculo lógico de ideas inmanentes en la actividad nerviosa, en el que proponen las bases para las redes neuronales.</li></ul><ul><li>1950 – Turing publica Computing Machinery and Intelligence, proponiendo el Test de Turing como forma de medir la capacidad de una máquina.</li></ul><ul><li>1951 – Marvin Minsky y Dean Edmonds construyen SNAR, la primera computadora de red neuronal.</li></ul><ul><li>1956 – Se celebra la Conferencia de Dartmouth (organizada por McCarthy, Minsky, Rochester y Shannon), que marca el nacimiento de la IA como campo de estudio.</li></ul><ul><li>1957 – Rosenblatt desarrolla el Perceptrón: la primera red neuronal artificial capaz de aprender.</li></ul>(!!) Test de Turing: donde un evaluador humano entabla una conversación en lenguaje natural con una máquina y un humano.<ul><li>1965 – Weizenbaum desarrolla ELIZA: un programa de procesamiento del lenguaje natural que simula una conversación.</li></ul><ul><li>1967 – Newell y Simon desarrollan el Solucionador General de Problemas (GPS), uno de los primeros programas de IA que demuestra una capacidad de resolución de problemas similar a la humana.</li></ul><ul><li>1974 – Comienza el primer invierno de la IA, marcado por una disminución de la financiación y del interés en la investigación en IA debido a expectativas poco realistas y a un progreso limitado.</li></ul><ul><li>1980 – Los sistemas expertos ganan popularidad y las empresas los utilizan para realizar previsiones financieras y diagnósticos médicos.</li></ul><ul><li>1986 – Hinton, Rumelhart y Williams publican Aprendizaje de representaciones mediante retropropagación de errores, que permite entrenar redes neuronales mucho más profundas.</li></ul>(!!) Redes neuronales: modelos de aprendizaje automático que imitan el cerebro y aprenden a reconocer patrones y hacer predicciones a través de conexiones neuronales artificiales.<ul><li>1997 – Deep Blue de IBM derrota al campeón mundial de ajedrez Kasparov, siendo la primera vez que una computadora vence a un campeón mundial en un juego complejo.</li></ul><ul><li>2002 – iRobot presenta Roomba, el primer robot aspirador doméstico producido en serie con un sistema de navegación impulsado por IA.</li></ul><ul><li>2011 – Watson de IBM derrota a dos ex campeones de Jeopardy!.</li></ul><ul><li>2012 – La startup de inteligencia artificial DeepMind desarrolla una red neuronal profunda que puede reconocer gatos en vídeos de YouTube.</li></ul><ul><li>2014 – Facebook crea DeepFace, un sistema de reconocimiento facial que puede reconocer rostros con una precisión casi humana.</li></ul>(!!) DeepMind fue adquirida por Google en 2014 por 500 millones de dólares.<ul><li>2015 – AlphaGo, desarrollado por DeepMind, derrota al campeón mundial Lee Sedol en el juego de Go.</li></ul><ul><li>2017 – AlphaZero de Google derrota a los mejores motores de ajedrez y shogi del mundo en una serie de partidas.</li></ul><ul><li>2020 – OpenAI lanza GPT-3, lo que marca un avance significativo en el procesamiento del lenguaje natural.</li></ul>(!!) Procesamiento del lenguaje natural: enseña a las computadoras a comprender y utilizar el lenguaje humano mediante técnicas como el aprendizaje automático.<ul><li>2021 – AlphaFold2 de DeepMind resuelve el problema del plegamiento de proteínas, allanando el camino para nuevos descubrimientos de fármacos y avances médicos.</li></ul><ul><li>2022 – Google despide al ingeniero Blake Lemoine por sus afirmaciones de que el modelo de lenguaje para aplicaciones de diálogo (LaMDA) de Google era sensible.</li></ul><ul><li>2023 – Artistas presentaron una demanda colectiva contra Stability AI, DeviantArt y Mid-journey por usar Stable Diffusion para remezclar las obras protegidas por derechos de autor de millones de artistas.</li></ul>Gráfico: <a href="https://mas.to/@echo_xc@mastodon.social/113971286060501063" rel="nofollow noopener" target="_blank">Open Tech</a> / <a href="https://www.genuineimpact.io/" rel="nofollow noopener" target="_blank">Genuine Impact</a>Entradas relacionadas<ul><li><a href="https://anselmolucio.wordpress.com/2025/01/31/como-definir-la-credibilidad-algoritmica-deepseek-da-en-el-clavo/" rel="nofollow noopener" target="_blank">¿Cómo definir la «credibilidad algorítmica»? DeepSeek da en el clavo</a></li><li><a href="https://anselmolucio.wordpress.com/2024/12/16/los-precios-dinamicos-exacerban-la-desigualdad-entre-los-consumidores-hay-que-regularlos-ya/" rel="nofollow noopener" target="_blank">Los precios dinámicos exacerban la desigualdad entre los consumidores, hay que regularlos ya</a></li><li><a href="https://anselmolucio.wordpress.com/2021/02/22/firma-contra-la-vigilancia-biometrica-masiva/" rel="nofollow noopener" target="_blank">Firma contra la vigilancia biométrica masiva</a></li></ul><a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://anselmolucio.wordpress.com/tag/ajedrez/" target="_blank">#ajedrez</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://anselmolucio.wordpress.com/tag/alphafold2/" target="_blank">#AlphaFold2</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://anselmolucio.wordpress.com/tag/alphago/" target="_blank">#AlphaGo</a> <a rel="nofollow noopener" 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Forschungszentrum Jülich🧬 <a href="https://social.fz-juelich.de/tags/Proteine" class="mention hashtag" rel="nofollow noopener" target="_blank">#Proteine</a>: Bausteine des LebensDie 3D-Struktur von Proteinen allein aus ihrer Sequenz vorherzusagen, war lange ungelöst. 2020 schafften Demis Hassabis und John Jumper mit <a href="https://social.fz-juelich.de/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> den Durchbruch – ausgezeichnet mit dem <a href="https://social.fz-juelich.de/tags/ChemieNobelpreis" class="mention hashtag" rel="nofollow noopener" target="_blank">#ChemieNobelpreis</a> 2024. 🏆🔍 Was macht AlphaFold2 🤖 so besonders? Alexander Schug vom <a href="https://social.fz-juelich.de/@fzj_jsc" class="u-url mention" rel="nofollow noopener" target="_blank">@fzj_jsc</a> erklärt es diese Woche bei <a href="https://social.fz-juelich.de/tags/WissenschaftOnline" class="mention hashtag" rel="nofollow noopener" target="_blank">#WissenschaftOnline</a>.👉 Infos & Login: <a href="https://www.fz-juelich.de/de/ueber-uns/kontakt/besuch/wissenschaft-online/alle-termine-wissenschaft-online/wo_prof_schug_jsc" rel="nofollow noopener" translate="no" target="_blank">https://www.fz-juelich.de/de/ueber-uns/kontakt/besuch/wissenschaft-online/alle-termine-wissenschaft-online/wo_prof_schug_jsc</a>

Alexis VergerAvec mon collègue <a href="https://toot.community/@AntoineTaly" class="u-url mention" rel="nofollow noopener" target="_blank">@AntoineTaly</a>, on a écrit un petit truc pour médecine/sciences pour présenter rapidement les améliorations et restrictions d'<a href="https://fediscience.org/tags/alphafold3" class="mention hashtag" rel="nofollow noopener" target="_blank">#alphafold3</a> par rapport à <a href="https://fediscience.org/tags/alphafold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#alphafold2</a> <a href="https://www.medecinesciences.org/en/articles/medsci/abs/2024/08/msc240162/msc240162.html" rel="nofollow noopener" translate="no" target="_blank">https://www.medecinesciences.org/en/articles/medsci/abs/2024/08/msc240162/msc240162.html</a>

Victoria Stuart 🇨🇦 🏳️‍⚧️Last Week in AI #291 - Nobel Prizes, Adobe's Video Model, Tesla's Robots Nobel Physics Prize Awarded for Pioneering A.I. Research by 2 Scientists and Nobel Prize in Chemistry Goes to 3 Scientists Adobe’s AI video model is here, and more! <a href="https://lastweekin.ai/p/last-week-in-ai-291-nobel-prizes" rel="nofollow noopener" translate="no" target="_blank">https://lastweekin.ai/p/last-week-in-ai-291-nobel-prizes</a><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#ML</a> <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#NLP</a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://mastodon.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#tech</a> <a href="https://mastodon.social/tags/GPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#GPT</a> <a href="https://mastodon.social/tags/OpenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenAI</a> <a href="https://mastodon.social/tags/2024Nobel" class="mention hashtag" rel="nofollow noopener" target="_blank">#2024Nobel</a> <a href="https://mastodon.social/tags/NobelPrize" class="mention hashtag" rel="nofollow noopener" target="_blank">#NobelPrize</a> <a href="https://mastodon.social/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#Anthropic</a> <a href="https://mastodon.social/tags/SyntheticMedia" class="mention hashtag" rel="nofollow noopener" target="_blank">#SyntheticMedia</a> <a href="https://mastodon.social/tags/DeepMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepMind</a> <a href="https://mastodon.social/tags/Alphafold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#Alphafold2</a> <a href="https://mastodon.social/tags/GeoffreyHinton" class="mention hashtag" rel="nofollow noopener" target="_blank">#GeoffreyHinton</a>

Prof Paula Salgado21y after collecting data during my PhD, we got to publish the structure of RNA-dependent RNA polymerase from <a href="https://mastodon.social/tags/bacteriophage" class="mention hashtag" rel="nofollow noopener" target="_blank">#bacteriophage</a> phi8! Unsolvable in 2003 but <a href="https://mastodon.social/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> model worked!<a href="https://www.nature.com/articles/s41598-024-75213-7" rel="nofollow noopener" translate="no" target="_blank">https://www.nature.com/articles/s41598-024-75213-7</a>Lesson learned: never discard data!Great job Kamel El Omari getting it over the line!

Guillaume GaullierHaving identified the proteins, I fetch their <a href="https://fediscience.org/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> predictions from AlphaFold-DB, or compute them if not in the DB. <a href="https://fediscience.org/tags/AF2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AF2</a> models have excellent geometry and complete sequence correctly numbered, so they are excellent starting models. I rarely use <a href="https://fediscience.org/tags/PDB" class="mention hashtag" rel="nofollow noopener" target="_blank">#PDB</a> entries as starting models anymore. Rare exceptions: a PDB entry I deposited myself, or one containing a post-translational modification or non-natural amino acid I need (never present in <a href="https://fediscience.org/tags/AF2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AF2</a> models, only the 20 standards amino acids). 4/19

Scientific European2024 Nobel in Chemistry for “Designing protein” and “Predicting protein structure”   One half of the Nobel Prize in Chemistry 2024 has been awarded to David Baker “for computational protein design”............ <a href="https://toot.community/tags/AImodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#AImodel</a> <a href="https://toot.community/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> <a href="https://toot.community/tags/Aminoacids" class="mention hashtag" rel="nofollow noopener" target="_blank">#Aminoacids</a> <a href="https://toot.community/tags/DavidBaker" class="mention hashtag" rel="nofollow noopener" target="_blank">#DavidBaker</a> <a href="https://toot.community/tags/DemisHassabis" class="mention hashtag" rel="nofollow noopener" target="_blank">#DemisHassabis</a> <a href="https://toot.community/tags/JohnJumper" class="mention hashtag" rel="nofollow noopener" target="_blank">#JohnJumper</a> <a href="https://toot.community/tags/NobelPrizeinChemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#NobelPrizeinChemistry</a> <a href="https://toot.community/tags/PROTEIN" class="mention hashtag" rel="nofollow noopener" target="_blank">#PROTEIN</a> <a href="https://toot.community/tags/Proteindesign" class="mention hashtag" rel="nofollow noopener" target="_blank">#Proteindesign</a> <a href="https://toot.community/tags/Proteinstructure" class="mention hashtag" rel="nofollow noopener" target="_blank">#Proteinstructure</a> SC <a href="https://www.scientificeuropean.co.uk/sciences/chemistry/2024-nobel-in-chemistry-for-designing-protein-and-predicting-protein-structure/" rel="nofollow noopener" translate="no" target="_blank">https://www.scientificeuropean.co.uk/sciences/chemistry/2024-nobel-in-chemistry-for-designing-protein-and-predicting-protein-structure/</a>

Victoria Stuart 🇨🇦 🏳️‍⚧️2024 Nobel Prize - Chemistry: computational chemistry <a href="https://www.nobelprize.org/prizes/chemistry/2024/press-release" rel="nofollow noopener" translate="no" target="_blank">https://www.nobelprize.org/prizes/chemistry/2024/press-release</a> * David Baker, UWash: computational protein design * Demis Hassabis, John Jumper, DeepMind: protein structure predictionChemistry Nobel to dev. of AlphaFold AI that predicts protein structures <a href="https://www.nature.com/articles/d41586-024-03214-7" rel="nofollow noopener" translate="no" target="_blank">https://www.nature.com/articles/d41586-024-03214-7</a>* <a href="https://old.reddit.com/r/MachineLearning/comments/1fznxyr/n_the_2024_nobel_prize_in_chemistry_goes_to_the" rel="nofollow noopener" translate="no" target="_blank">https://old.reddit.com/r/MachineLearning/comments/1fznxyr/n_the_2024_nobel_prize_in_chemistry_goes_to_the</a> * <a href="https://www.technologyreview.com/2024/10/09/1105335/google-deepmind-wins-joint-nobel-prize-in-chemistry-for-protein-prediction-ai" rel="nofollow noopener" translate="no" target="_blank">https://www.technologyreview.com/2024/10/09/1105335/google-deepmind-wins-joint-nobel-prize-in-chemistry-for-protein-prediction-ai</a> * <a href="https://news.ycombinator.com/item?id=41775463" rel="nofollow noopener" translate="no" target="_blank">https://news.ycombinator.com/item?id=41775463</a><a href="https://mastodon.social/tags/2024Nobel" class="mention hashtag" rel="nofollow noopener" target="_blank">#2024Nobel</a> <a href="https://mastodon.social/tags/ComputationalBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#ComputationalBiology</a> <a href="https://mastodon.social/tags/ProteinDesign" class="mention hashtag" rel="nofollow noopener" target="_blank">#ProteinDesign</a> <a href="https://mastodon.social/tags/ProteinFolding" class="mention hashtag" rel="nofollow noopener" target="_blank">#ProteinFolding</a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://mastodon.social/tags/AlphaFold" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold</a> <a href="https://mastodon.social/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> <a href="https://mastodon.social/tags/DeepMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepMind</a> <a href="https://mastodon.social/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#bioinformatics</a>

Preston MacDougallThe other two recipients of the 2024 <a href="https://mstdn.science/tags/NobelPrize" class="mention hashtag" rel="nofollow noopener" target="_blank">#NobelPrize</a> in <a href="https://mstdn.science/tags/Chemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#Chemistry</a> are Demis Hassabis and John M. Jumper from <a href="https://mstdn.science/tags/Google" class="mention hashtag" rel="nofollow noopener" target="_blank">#Google</a> Deep Mind for developing the <a href="https://mstdn.science/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> tool <a href="https://mstdn.science/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> to predict protein structure from amino acid sequence. Here’s the <a href="https://mstdn.science/tags/Nobel" class="mention hashtag" rel="nofollow noopener" target="_blank">#Nobel</a> press release. <a href="https://www.nobelprize.org/prizes/chemistry/2024/press-release/" rel="nofollow noopener" translate="no" target="_blank">https://www.nobelprize.org/prizes/chemistry/2024/press-release/</a>

PLOS BiologyGFP-tagging <a href="https://fediscience.org/tags/tubulins" class="mention hashtag" rel="nofollow noopener" target="_blank">#tubulins</a> is useful but can interfere with their cellular functions. This study describes a strategy guided by <a href="https://fediscience.org/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> structural predictions to label endogenous tubulins across diverse species while preserving functionality <a href="https://fediscience.org/tags/PLOSBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#PLOSBiology</a> <a href="https://plos.io/3ArvolQ" rel="nofollow noopener" translate="no" target="_blank">https://plos.io/3ArvolQ</a>

nf-corePipeline release! nf-core/proteinfold v1.1.1 - nf-core/proteinfold v1.1.0 - Blackbuck Antelope!Please see the changelog: <a href="https://github.com/nf-core/proteinfold/releases/tag/1.1.1" rel="nofollow noopener" translate="no" target="_blank">https://github.com/nf-core/proteinfold/releases/tag/1.1.1</a><a href="https://mstdn.science/tags/alphafold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#alphafold2</a> <a href="https://mstdn.science/tags/protein" class="mention hashtag" rel="nofollow noopener" target="_blank">#protein</a>-fold-prediction <a href="https://mstdn.science/tags/protein" class="mention hashtag" rel="nofollow noopener" target="_blank">#protein</a>-folding <a href="https://mstdn.science/tags/protein" class="mention hashtag" rel="nofollow noopener" target="_blank">#protein</a>-sequences <a href="https://mstdn.science/tags/protein" class="mention hashtag" rel="nofollow noopener" target="_blank">#protein</a>-structure <a href="https://mstdn.science/tags/nfcore" class="mention hashtag" rel="nofollow noopener" target="_blank">#nfcore</a> <a href="https://mstdn.science/tags/openscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#openscience</a> <a href="https://mstdn.science/tags/nextflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#nextflow</a> <a href="https://mstdn.science/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#bioinformatics</a>

rexi<a href="https://phys.org/news/2024-06-supercomputing-age-ai-protein.html" rel="nofollow noopener" translate="no" target="_blank">https://phys.org/news/2024-06-supercomputing-age-ai-protein.html</a>"…a novel computational framework that simplifies and speeds up the process of using <a href="https://mastodon.social/tags/AItools" class="mention hashtag" rel="nofollow noopener" target="_blank">#AItools</a> and <a href="https://mastodon.social/tags/algorithms" class="mention hashtag" rel="nofollow noopener" target="_blank">#algorithms</a> to understand three-dimensional protein structure…also predicts conformational diversity of proteins, an important property since proteins…The team developed APACE, a computational tool that effectively handles <a href="https://mastodon.social/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a>, an AI program used to predict protein structure on high-performance computing systems…"<a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a>

nf-corePipeline release! nf-core/proteinfold v1.1.0 - nf-core/proteinfold v1.1.0 - Copper Deer!Please see the changelog: <a href="https://github.com/nf-core/proteinfold/releases/tag/1.1.0" rel="nofollow noopener" translate="no" target="_blank">https://github.com/nf-core/proteinfold/releases/tag/1.1.0</a><a href="https://mstdn.science/tags/alphafold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#alphafold2</a> <a href="https://mstdn.science/tags/protein" class="mention hashtag" rel="nofollow noopener" target="_blank">#protein</a>-fold-prediction <a href="https://mstdn.science/tags/protein" class="mention hashtag" rel="nofollow noopener" target="_blank">#protein</a>-folding <a href="https://mstdn.science/tags/protein" class="mention hashtag" rel="nofollow noopener" target="_blank">#protein</a>-sequences <a href="https://mstdn.science/tags/protein" class="mention hashtag" rel="nofollow noopener" target="_blank">#protein</a>-structure <a href="https://mstdn.science/tags/nfcore" class="mention hashtag" rel="nofollow noopener" target="_blank">#nfcore</a> <a href="https://mstdn.science/tags/openscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#openscience</a> <a href="https://mstdn.science/tags/nextflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#nextflow</a> <a href="https://mstdn.science/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#bioinformatics</a>

MCDuncanLabBecause it is the start of the month, I'm indexing my notebook and seeing that there is a whole set of really exciting protein multimer predictions that still need to be done. Of course, our clusters are down for summer maintenance this week. ugh.I'm so tempted to use the browser-based colabfold, but I should just wait for the clusters. I'm very impatient.<a href="https://mstdn.social/tags/AcademicChatter" class="mention hashtag" rel="nofollow noopener" target="_blank">#AcademicChatter</a> <a href="https://mstdn.social/tags/LabLife" class="mention hashtag" rel="nofollow noopener" target="_blank">#LabLife</a> <a href="https://mstdn.social/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> <a href="https://mstdn.social/tags/StructurePredictions" class="mention hashtag" rel="nofollow noopener" target="_blank">#StructurePredictions</a>

François Ferron 🇪🇺 🔷️🔶️Hello fellow structural biologists of the :fediverse: , I am wondering is there a way to include experimental low resolution data (EM OR SAXS) into AFmultimere to guide or constrain the outcome? <a href="https://fediscience.org/tags/deepmind" class="mention hashtag" rel="nofollow noopener" target="_blank">#deepmind</a> <a href="https://fediscience.org/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaFold2</a> <a href="https://a.gup.pe/u/strucbio" class="u-url mention" rel="nofollow noopener" target="_blank">@strucbio</a> Thanks in advanced for your help!

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