Valence Labs’ Post

Chemistry42 August Recap: Advancing Science Together! August was an incredible month for Chemistry42, and we are excited to share our latest achievements with you all! 🧪 Chemistry42 2.2: We're excited to introduce Chemistry42 Version 2.2! But that's not all – introducing Chemistry42 ReLEHF (Reinforcement Learning with Expert Human Feedback), a cutting-edge program that harnesses the power of human preferences to enhance our platform like never before. 📚 SIK2 Paper: Insilico has employed AlphaFold's predicted protein structures along with its generative chemistry engine, Chemistry42, to identify new and specific inhibitors for salt-inducible kinase 2 (SIK2). To read the paper: https://lnkd.in/ghEes65P 🎉 1K Followers Milestone: We've hit a fantastic milestone – 1,000 followers on our Chemistry42 LinkedIn page! Thank you for being a part of our community and supporting our mission in chemistry. 🔬 ARDD Conference: We had the privilege of sponsoring the prestigious Aging Research & Drug Discovery Meeting , which brought together a vibrant community of more than 700 passionate participants this year. Alex Zhavoronkov, Petrina Kamya, Ph.D. and Frank Pun took the stage and delivered inspiring talks on aging research and AI drug discovery. 📚 Academic Grant Application: We are proud to announce the Academic Grant Application for researchers and institutions ready to make a significant impact in drug discovery and cutting-edge AI technology. To see if you can apply, please click here: https://lnkd.in/eW7JDBVw 📆 We invite you to explore our platform and see how it can accelerate your projects and insights, book a call with us👉 : https://lnkd.in/gvUAiizA #Chemistry42 #Science #Innovation #Research

🧬 A monumental stride in Structural Biology! AlphFold's Next-Gen Revolution💡 🔬 Google DeepMind, in partnership with Isomorphic Labs, unveils the next generation of AlphFold, redefining our understanding and significantly enhancing accuracy across various biomolecule classes. This includes ligands (small molecules), proteins, nucleic acids (DNA and RNA), and those harbouring post-translational modifications (PTMs). These diverse structures and complexes are vital for deciphering cellular biological mechanisms, and they've been notoriously challenging to predict with precision. 🚀 AlphFold establishes a new benchmark for protein-ligand structure prediction. It surpasses the best-known docking methods, all without the need for a reference protein structure or knowledge of the ligand pocket's location. This breakthrough enables predictions for entirely novel proteins that haven't been structurally characterized before. The world of structural biology just took a quantum leap forward! 🧬💡 #AlphFold #StructuralBiology #Innovation #DeepMind #IsomorphicLabs

Live now Wednesday Oct 4th 2023. Nothing beats a face to face discussion to learn more. English and of course in Japanese too!! 第14回国際ゲノム会議 附設展示会にてMERSCOPEをご紹介致します。[開催日時：2023年10月4日(水)-6日(金)、会場：一橋講堂(東京都千代田区)] https://lnkd.in/gM8KghFK Explore new dimensions through spatial context. The MERSCOPE® Platform, the first high multiplexing, high resolution in situ platform to combine single-cell and spatial genomics. #Vizgen #SpatialBiology

🔬 𝐔𝐩𝐝𝐚𝐭𝐞 𝐟𝐫𝐨𝐦 𝐉𝐨𝐞 𝐁𝐞𝐞𝐜𝐡𝐞𝐦, 𝐏𝐡𝐃, 𝐂𝐒𝐎 𝐨𝐟 𝐍𝐚𝐧𝐨𝐬𝐭𝐫𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬! Nanostring has been developing cutting-edge spatial multiomic technologies, our journey has been marked by innovation and dedication to advancing science. However, recent legal challenges with 10x Genomics have led Nanostring to file for Chapter 11 bankruptcy. But fear not! This is not the end, but a strategic move to protect our technology and continue serving our customers. In an exclusive interview at #AGBT2024, Joe Beechem shed light on the situation. Despite the legal hurdles, Nanostring remains committed to pushing the boundaries of spatial biology. Our focus on high plex, multiomic applications sets us apart, and we're determined to defend our technology. The outpouring of support from the scientific community has been overwhelming. Researchers recognize the importance of preserving innovation in spatial biology. As pioneers in the field, we're not backing down. Yes, the road ahead may be challenging, but we're fueled by passion and perseverance. We refuse to surrender because we know our technology is vital for scientific advancement. So, to all our supporters and customers, thank you for standing by us. Together, let's forge ahead, being innovative and inclusive, shaping the future of spatial biology. #Nanostring #Innovation #SpatialBiology #ScienceForward https://lnkd.in/gqTvwexT

🥁 “The paper is a significant step forward in terms of understanding the heterogeneous response of different cell states to environmental perturbations. It may impact drug discovery in the future.” ‘Predicting how single cells react to perturbations’ is one of the #SIBRemarkableOutputs 2023 👏 This work joins the yearly list of outstanding contributions from SIB Members across Switzerland to the field of #bioinformatics. 👉 Discover this shortlist of outstanding works: https://lnkd.in/din23W7N #CellOT #MachineLearning 💡 The SIB Remarkable Outputs gather on a shortlist the most outstanding works produced by SIB members each year. These contributions showcase the latest advances in the Swiss bioinformatics field and include innovative solutions to share with the life science community. BioAlps - Swiss Health Valley, ELIXIR, Life Sciences Switzerland (LS2), Luciano Cascione, Laurent Falquet, Robert Ivánek, Charlotte Soneson, Patricia Palagi Graf, Frederique Lisacek, Robert Waterhouse, ETH AI Center, ETH Zürich, University of Zurich, Charlotte Bunne, Gabriele Gut, Stefan Stark, Kjong Lehmann, Jacobo Sarabia del Castillo, Mitch Levesque, Lucas Pelkmans, Andreas Krause, Gunnar Rätsch

🚀 Make your visium data into super-resolution 🚀 🔍 Introducing SuperST🔍 We're delighted to announce the release of SuperST, an algorithm that revolutionizes Spatial Transcriptomics analysis. Leveraging a deep image prior, SuperST enhances low-resolution Visium ST libraries, generating dense matrices with unparalleled precision. 🎨 SuperST in Action: With SuperST, researchers gain unprecedented insights into complex biological systems. Whether in academia or industry, SuperST empowers diverse research domains, offering seamless integration with other spatial omics technologies. 📚 Publication: Our research on SuperST has been published in bioRxiv. Dive into the details: [Link provided in the reply.] Github: [Link provided in the reply.] We're excited about the possibilities SuperST brings to Spatial Transcriptomics, and we can't wait to see how it propels research forward! #SuperST #SpatialTranscriptomics #Research #Innovation #Bioinformatics #Portrai

One of the most inspiring adaptations of the AI toolsets.

Congratulations to the brilliant minds at Google DeepMind and Isomorphic Labs for their remarkable progress on the next generation of #AlphaFold! The latest AlphaFold model is a game-changer in the field of structural biology. It goes beyond proteins to predict the structures of a wide range of biological molecules, including ligands. The expanded capabilities of this AI model are a beacon of hope for accelerating breakthroughs in biomedicine and ushering in the era of 'digital biology.' It promises to shed new light on disease pathways, genomics, bio renewable materials, plant immunity, therapeutic targets, drug design mechanisms, and so much more. It's a powerful tool for researchers and scientists to explore the uncharted territories of protein engineering and synthetic biology. Kudos to the AlphaFold team for pushing the boundaries of what's possible in biotechnology! 🌐 #google #drugdiscovery #pharmaceutical #ai #llm #machinelearning #datascience #generatieveai #lifesciences #technology

In a recent chat with Vijay Pande, PhD, Aviv Regev, Executive Vice President of Research and Early Development at Genentech, talked about how she knew the early advances in perturbation (CRISPR) and measurement (single-cell genomics) were a pivotal opportunity. But, as she put it, “you have to know enough to grab it.” Regev’s computational thinking recognized how these tools enabled causal, iterative, large-scale experimentation that could be used to predictively model cells and reveal new insights. Key takeaways: Adopt a computational mindset to know which new tools or data sources offer transformational opportunities in your field. Step back to understand how they fulfill the wishlist that can solve your mission-critical problems. Listen to the full conversation https://lnkd.in/eccenR2H