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Wow - 2 ex-Meta employees launch EvolutionaryScale landing $142m to advance AI in biology. EvolutionaryScale has introduced ESM3, a cutting-edge language model for biology that predicts protein sequences, structures, and functions. This model can simulate millions of years of evolution, generating new proteins with potential applications in medicine, research, and sustainability. ESM3 represents a significant advancement in AI's ability to design and engineer biological systems. There will be comparisons with AlphaFold3, intrigued where this goes... https://lnkd.in/dhtQDtsA #AIinDrugDiscovery #genomics #proteomics

When is AI alone adequate for answering scientific questions? It depends. A multi-institutional team led by Paul Adams at Berkeley Lab and Tom Terwilliger at the New Mexico Consortium found that AI-based protein structure predictions are best considered to be exceptionally useful hypotheses. As good as they are, experimental measurements remain essential when confirming the details of protein structures. #BioMBIB #artificialintelligence #proteinstructure https://lnkd.in/gTdrSNst

"Discover how DiffPALM, an AI-based approach by EPFL scientists, revolutionizes protein sequence prediction, offering new insights for drug development and disease treatment in computational biology. #AI #ProteinPrediction #DrugDevelopment"

Chroma: a new AI tool that creates proteins and protein complexes not found in nature with programmable properties for therapeutic potential Chroma works at the intersection of machine learning, biological engineering, and medicine, emphasizing protein design. It enables protein design through Bayesian inference. Experimental characterization demonstrates that proteins designed by Chroma are highly expressed, fold correctly, and have favorable biophysical properties. This approach to protein design holds promise for accelerating the programming of protein matter for applications in human health, materials science, and synthetic biology. The original article was published in Nature: https://lnkd.in/eAv9ZMWh. https://lnkd.in/eXfEdw7S #genetics #genomics #precisionmedicine #genomicmedicine #ai #proteomics #proteins ##machinelearning #bioengineering #medicine #drugdesign #drugdevelopment #design #health #materialsscience #syntheticbiology #therapeutics #biotechnology #innovation #research #science #sciencecommunication

Chroma is fueling innovation in life sciences! 🌟 Imagine a future where protein tools and enzymes drive our research to unprecedented heights. 🧬 Let's break free from the norm, identify challenges in current workflows, and pave the way for a new era. Are you facing hurdles with work complexity or tool stability? Share your insights in the comments, and let's envision a protein-powered revolution together! 💪🔬 #ProteinTools #EnzymeInnovation #LifeScienceFuture" #Chroma

Synthetic Biology Market : Use of Machine Learning in research and development In recent years, artificial intelligence (AI)/machine learning has emerged as a plausible alternative to systems biology for the elucidation of biological phenomena and in attaining specified design objective in synthetic biology. The current development of artificial intelligence (AI) and machine learning (ML) techniques and tools in the biological and biotechnological domains can be viewed similarly for bringing about smarter and more automated analysis and decision-making to these fields. Read More | Download PDF Brochure Now :- https://lnkd.in/dd8-bfVE AI/ML remains an alternative for investigating system behaviors and improving the output of interest in synthetic biology applications. Currently various market players shifted the focus on machine learning use in synthetic biology. Additionally, immensive government support This is likely to create lucrative growth opportunities in coming years. For instance, as of November 2022, BigHat Biosciences, Inc., a biotechnology company with a machine learning-guided antibody discovery and development platform entered in collaboration with Merck to develop AI-enabled platform to expedite protein engineering to design and develop novel therapeutic candidates. Under the collaboration, BigHat and Merck will collaborate to optimize up to three proteins by leveraging BigHat’s platform to synthesize, express, purify, and characterize molecules. The size of global synthetic biology market in terms of revenue was estimated to be worth $11.4 billion in 2022 and is poised to reach $35.7 billion by 2027, growing at a CAGR of 25.6% #syntheticbiology #biotechnology #bioengineering #geneticengineering #genomeediting #crispr #syntheticgenomics #lifesciences #biotechindustry #molecularbiology

We are thrilled to announce the release of 🔮 GenPro2 – A generative AI protein discovery and analysis tool utilizing ESMFold/EMS-2 model by META AI and the Protein Data Bank(PDB). Protein folding is revolutionizing life science, unlocking the magic of life's molecular machinery, and propelling us into a new era of medical and technological breakthroughs! This groundbreaking advancement promises to accelerate drug discovery, combat diseases, and engineer unprecedented innovations in biotechnology. You can access it now on Hugging Face by visiting: WANDS (dot) AI No need for prior molecular biology knowledge (although it does help). Dive in and start discovering novel proteins using natural language seed words! --------------- #OpenScience #OpenSource #LifeScience #ProteinFolding #ESMFold #AlphaFold

Wow, the advancements in the field of Structural Biology are truly remarkable! The integration of machine learning algorithms, particularly AlphaFold, has undoubtedly revolutionized protein structure prediction. It's amazing to think that in just two years, AlphaFold has predicted the structures of almost every known protein. Not only does this have significant implications for protein study, but it also has the potential to reshape various sectors. From expediting drug discovery and improving disease diagnosis to driving innovation in materials science, the impact is far-reaching.....

🧬💻 the Power of AI in Biomedical Science! The field of 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐚𝐥 𝐁𝐢𝐨𝐥𝐨𝐠𝐲, pivotal in understanding protein structures, has witnessed a monumental leap forward, thanks to machine learning algorithms. Traditionally, uncovering protein structures - crucial as their functions rely on their shapes - has been a slow process. Out of an estimated 100 to 200 million proteins, less than 1% have been explored by humans. Enter AI's game-changing role. In a mere two years, the AI system 𝐀𝐥𝐩𝐡𝐚𝐅𝐨𝐥𝐝 has astoundingly predicted the structures of almost every protein known to us, now accessible in an open online database. This isn't just a win for protein study. AlphaFold's contributions are reshaping entire sectors, from accelerating 𝐝𝐫𝐮𝐠 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 and refining 𝐝𝐢𝐬𝐞𝐚𝐬𝐞 𝐝𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐬 to innovating in 𝐦𝐚𝐭𝐞𝐫𝐢𝐚𝐥𝐬 𝐬𝐜𝐢𝐞𝐧𝐜𝐞. For a deeper dive, check out 'Incorporating Machine Learning into Established Bioinformatics Frameworks'. The paper's insights are linked in the comments. #machinelearning #bioinformatics #alphafold #healthtech #innovation

🧬💻 the Power of AI in Biomedical Science! The field of 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐚𝐥 𝐁𝐢𝐨𝐥𝐨𝐠𝐲, pivotal in understanding protein structures, has witnessed a monumental leap forward, thanks to machine learning algorithms. Traditionally, uncovering protein structures - crucial as their functions rely on their shapes - has been a slow process. Out of an estimated 100 to 200 million proteins, less than 1% have been explored by humans. Enter AI's game-changing role. In a mere two years, the AI system 𝐀𝐥𝐩𝐡𝐚𝐅𝐨𝐥𝐝 has astoundingly predicted the structures of almost every protein known to us, now accessible in an open online database. This isn't just a win for protein study. AlphaFold's contributions are reshaping entire sectors, from accelerating 𝐝𝐫𝐮𝐠 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 and refining 𝐝𝐢𝐬𝐞𝐚𝐬𝐞 𝐝𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐬 to innovating in 𝐦𝐚𝐭𝐞𝐫𝐢𝐚𝐥𝐬 𝐬𝐜𝐢𝐞𝐧𝐜𝐞. For a deeper dive, check out 'Incorporating Machine Learning into Established Bioinformatics Frameworks'. The paper's insights are linked in the comments. #machinelearning #bioinformatics #alphafold #healthtech #innovation