SVIC Podcast’s Post

🧫 From designing CRISPR-Cas systems to decoding entire genomes, Evo is breaking new ground in synthetic biology! Read more.... 🔗 https://lnkd.in/e25Ks5De #AI #Research #Science #SyntheticBiology #Lab #Laboratory #Innovation #ML #DNA

Machine Learning Shows that Evolution is/was predicatble ... The machine learning model's effectiveness highlights the deterministic nature of gene-gene interactions in bacterial evolution. By uncovering these predictable patterns, the research team has provided a powerful tool for understanding and potentially manipulating evolutionary processes4. This approach not only challenges traditional views on evolutionary randomness but also opens up new avenues for exploring genetic relationships and their impact on organism adaptation and survival https://lnkd.in/gGRaay6Z

Happy Pi day, a great opportunity for self promotion and a great reminder of the value that quantitative scientists bring to biotechnological research. To Discovery Machines, Pi is more than just a number, it is more than the relationship between the circumference and the diameter, it is the acknowledgement that there are gifted people (and now AI) that are able to identify those special relationships in nature. #pi #mathematics #physics #biology #ai #discoveryatscale #celltherapy #biotech #people #discovery #nature

Researchers are leveraging advanced #AI tools to significantly speed up their NMR analysis, achieving breakthroughs faster than ever before. AI accelerates research with NMR and has transformed their work, as well as how they envision future projects. Prof. Julie Forman-Kay, Head of the Molecular Medicine Program at The Hospital for Sick Children and Professor of Biochemistry at the University of Toronto, is at the forefront of the research in structural biology. In this interview with Bruker 👇 she emphasizes that while AI tools like AlphaFold have made significant strides in predicting static protein structures they fall short in understanding protein dynamics and disordered regions. #NMR is crucial for capturing these dynamic properties and excited states of proteins, which are essential for their function. Forman-Kay argues that integrating NMR data with machine learning algorithms is the next step for advancing structural biology. #StructuralBiology #ProteinResearch #ScientificResearch

Researchers are leveraging advanced #AI tools to significantly speed up their NMR analysis, achieving breakthroughs faster than ever before. AI accelerates research with NMR and has transformed their work, as well as how they envision future projects. Prof. Julie Forman-Kay, Head of the Molecular Medicine Program at The Hospital for Sick Children and Professor of Biochemistry at the University of Toronto, is at the forefront of the research in structural biology. In this interview with Bruker 👇 she emphasizes that while AI tools like AlphaFold have made significant strides in predicting static protein structures they fall short in understanding protein dynamics and disordered regions. #NMR is crucial for capturing these dynamic properties and excited states of proteins, which are essential for their function. Forman-Kay argues that integrating NMR data with machine learning algorithms is the next step for advancing structural biology. #StructuralBiology #ProteinResearch #ScientificResearch

We caught up with Theodore Alexandrov, OC member of #SpatialOmics24, to discuss the impact of spatial omics on biology. Watch the full interview here: https://lnkd.in/ekUzHpGv "Biology right now, is undergoing another transformation [...]. Everyone thinks now in terms of single-cell biology and spatial biology, with the use of methods of AI and Machine Learning," he says. 📅 Abstract deadline: 18 April 2024. Submit your research and get the chance to win the Molecular Systems Biology Poster Prize!

Researchers are leveraging advanced #AI tools to significantly speed up their NMR analysis, achieving breakthroughs faster than ever before. AI accelerates research with NMR and has transformed their work, as well as how they envision future projects. Prof. Julie Forman-Kay, Head of the Molecular Medicine Program at The Hospital for Sick Children and Professor of Biochemistry at the University of Toronto, is at the forefront of the research in structural biology. In this interview with Bruker 👇 she emphasizes that while AI tools like AlphaFold have made significant strides in predicting static protein structures they fall short in understanding protein dynamics and disordered regions. #NMR is crucial for capturing these dynamic properties and excited states of proteins, which are essential for their function. Forman-Kay argues that integrating NMR data with machine learning algorithms is the next step for advancing structural biology. #StructuralBiology #ProteinResearch #ScientificResearch

Researchers are leveraging advanced #AI tools to significantly speed up their NMR analysis, achieving breakthroughs faster than ever before. AI accelerates research with NMR and has transformed their work, as well as how they envision future projects. Prof. Julie Forman-Kay, Head of the Molecular Medicine Program at The Hospital for Sick Children and Professor of Biochemistry at the University of Toronto, is at the forefront of the research in structural biology. In this interview with Bruker 👇 she emphasizes that while AI tools like AlphaFold have made significant strides in predicting static protein structures they fall short in understanding protein dynamics and disordered regions. #NMR is crucial for capturing these dynamic properties and excited states of proteins, which are essential for their function. Forman-Kay argues that integrating NMR data with machine learning algorithms is the next step for advancing structural biology. #StructuralBiology #ProteinResearch #ScientificResearch

Did you miss The Spatial Biology Week™ but are interested in learning more about real-life examples of #spatialbiology? From spatial #multiomics to unlimited plex level, make sure to read Front Line Genomics’ exclusive Single-cell & Spatial Playbook and find out why our COMET™ is the go-to technology for researchers: ➡️ https://lnkd.in/et4JFD2J

✍ Unlocking the Language of Proteins: How LLMs are Revolutionizing Biology Ever wondered how scientists decode the secrets hidden within proteins? 💡 The field is being revolutionized by Large Language Models (LLMs)!  ⬇ My latest article dives into the exciting world of LLMs in protein science: 👉 LLMs for Protein Structure Prediction: From sequence to shape, LLMs are transforming how we predict protein structures, crucial for understanding function and drug development. 👉 LLMs for Protein Function Prediction: LLMs are cracking the code of what proteins do, enabling us to understand their roles in biological processes. 👉 BERT-Based Models for Protein Function Prediction: A new language for understanding life - learn how BERT is powering cutting-edge protein function prediction models. This is just the beginning! LLMs are unlocking a new era in biology, with vast potential for advancements in healthcare, agriculture, and more.  #LLMs #ProteinScience #Biotechnology #AI #MachineLearning #DeepLearning #Science #Biology #Research #Innovation