Eric and Wendy Schmidt Center’s Post

✨ What is the value of conferences like #ECCB2024 in driving collaboration and innovation? Professor Peer Bork, Director of EMBL Heidelberg, emphasises that major conferences like ECCB 2024 are vital for addressing the fragmentation within different sub-communities in bioinformatics. By bringing these communities together, we can unlock significant potential for innovation in the field 🔓 Watch the full video interview below and learn about: 💡 How AI can enhance bioinformatics by analyzing vast datasets 💡 The need for an interplay of centralized and federated data infrastructures. Prof. Bork took the stage at the European Conference on Computational Biology 2024 in September in Turku 🇫🇮 , organized by CSC - IT Center for Science and Turun yliopisto - University of Turku. 🌟 Welcome to follow this video series featuring insightful scientific interviews with key speakers from #ECCB2024! Each episode will delve into crucial topics at the intersection of bioinformatics, computational biology, and life sciences.

A historic moment for Computational Chemistry, Computational Biology and Structural Bioinformatics! The Nobel Prize in Chemistry awarded to David Baker, Demis Hassabis, and John M. Jumper is a testament to the incredible power of bioinformatics and AI-driven tools in transforming science. Their work on protein folding isn't just a breakthrough—it's a reminder that bioinformatics is far from "pseudo-science." It's driving innovations that have real-world impacts on healthcare, sustainability, and beyond. To those who doubted its potential, this achievement speaks volumes. Bioinformatics is the future, and this is just the beginning! #bioinformatics #computational_chemistry

I am thrilled to have contributed to the Open Modelling Foundation's "Ten Simple Rules for Good Model-sharing Practices," a huge collaboration that argues for more collaboration (in computational modeling)! Published in PLOS Computational Biology, the paper results from a series of multidisciplinary workshops led by the OMF in 2024. The ten rules are applicable across fields of practice, from economics and agent-based modeling to bioinformatics, machine learning and Please read the paper and reach out with any questions and/or interest in collaborating! https://lnkd.in/gd7e9r9p

Happy to share that our work on developing an "An Ultra Lightweight Interpretable Convolution-Vision Transformer Fusion Model for Plant Disease Identification: ConViTX" is recently published in @IEEE Transactions on Computational Biology and Bioinformatics. Heartiest congratulations Dr Poornima Singh Thakur, Ms Shubhangi Chaturvedi , Dr Ayan Seal , Prof. Pritee Khanna and Prof. Tanuja Sheorey ! In this work, we have developed a plant disease classification model, and a generative model for data augmentation to help the classification model learn better with the variance in images of maize diseases generated by our GAN model C3GAN. The model was deployed on Jetson Nano and tested for its performance and speed. The model ConViTX performs well under different environmental conditions. The paper is available on this link. https://lnkd.in/dKjaSvka #plantdisease #crophealth #cnn #generativeAI

𝐔𝐧𝐫𝐚𝐯𝐞𝐥𝐢𝐧𝐠 𝐋𝐢𝐟𝐞'𝐬 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐁𝐥𝐨𝐜𝐤𝐬 𝐰𝐢𝐭𝐡 𝐌𝐨𝐥𝐞𝐜𝐮𝐥𝐚𝐫 𝐃𝐲𝐧𝐚𝐦𝐢𝐜𝐬 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 To truly understand the intricate workings of our cells, bioinformatics students need a strong foundation in biology. Genes, proteins, and their interactions are the building blocks of life, orchestrating complex cellular functions. 𝐌𝐨𝐥𝐞𝐜𝐮𝐥𝐚𝐫 𝐃𝐲𝐧𝐚𝐦𝐢𝐜𝐬 (𝐌𝐃) 𝐬𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 offer a powerful lens into this microscopic world. By simulating the movements of atoms and molecules, we can unravel the secrets behind protein folding, drug interactions, (etc.) allowing us to observe the dynamic behavior of molecules. At BioCogniz, we're committed to simplifying complex concepts! Our one-day workshop is designed to equip you with the knowledge and skills to master MD simulations. Don't miss this opportunity to gain hands-on experience with some of the interesting computational tools! 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐧𝐨𝐰! https://lnkd.in/gawmMr4W #MDsimulations #Workshop #PracticalLearning

The 2024 Nobel Prize for AlphaFold highlights the contributions of AI, but Helen Berman's work in co-founding the Protein Data Bank was crucial. Those of us who are privileged to know and work with Helen know that this recognition is long overdue! https://lnkd.in/gRnqM3NK "...The 2024 Nobel Prize in Chemistry, awarded to Demis Hassabis and John Jumper of Google DeepMind for AlphaFold, is a moment in the fusion of artificial intelligence and biology. AlphaFold’s ability to predict protein structures with unprecedented accuracy is a triumph of computational power applied to one of biology’s most intricate challenges. Yet, as we reflect on this monumental achievement, it is vital to acknowledge the layers of scientific infrastructure and historical contributions that underpinned AlphaFold’s success. Among these contributions, the legacy of Helen Berman, co-founder of the Protein Data Bank (PDB), emerges as crucial yet largely uncelebrated in the public discourse..." I have the great fortune to have been working with Helen for the past 4 years as co-PI on the research project _Inner Space_. This art\science collaboration between the Bridge Institute and the World Building Media Lab at USC is building a new visual language for molecular biology. #NobelPrize #AlphaFold #ArtificialIntelligence #MolecularBiology #sca #dornsife #innerspace #worldbuildingmedialab #proteindatabank #pdb

Don't miss this benchmarking paper on epitope prediction if you're curious about the potential gains from combining language models with GNNs! You can explore the code here https://lnkd.in/eweUUuQF and have fun with the 3D antibody-antigen viewer https://lnkd.in/es6MCE-K :)

How to solve combinatorics problems Computational Biology, which includes many aspects of bioinformatics, is the science of using biological data to develop algorithms or models to understand biological systems and relationships. Youtube video: https://lnkd.in/dZBeHSDp \#nikolays_genetics_lessons

🔬 Unlocking Genomics with Computational Biology! 🚀 In genomics research, computational biology is a game-changer. As the head of Bioinformatics for HRS, I've seen how effective computational strategies tackle big challenges. With advanced algorithms and machine learning, we efficiently process vast data, uncovering hidden patterns and insights. This speeds up research and enhances accuracy, leading to reliable results. 🤖📊 With the capabilities of also integrating diverse data types, offering a comprehensive view of biological systems. This is key for breakthroughs in personalized medicine and targeted therapies. 💡💊 #genomics #bioinformatics #recruitment #datascience #computationalbiology