International Institute of Molecular and Cell Biology in Warsaw’s Post

Google's AlphaFold 3, a breakthrough in biology - predicts 3D structures and interactions of diverse molecules with great accuracy. Developed by Google DeepMind, it extends beyond proteins, including DNA and RNA. The model boasts a 50% improvement in protein interaction prediction and doubled accuracy in vital areas. Accessible via AlphaFold Server, it supports global research, partnering with Isomorphic Labs for groundbreaking treatments. Utilizing diffusion, it refines molecular structures to their most precise form. Link to read more in the comments. #artificialintelligence #technology #innovation #biology #google

Authentication and validation of key genes in the treatment of atopic dermatitis with Runfuzhiyang powder: combined RNA-seq, bioinformatics analysis, and experimental research

🚀 Exciting times in computational biology! 🚀 Recently, incredible advancements in computational biology have left me amazed. DeepMind's AlphaFold is revolutionizing protein folding with remarkable accuracy, accelerating drug discovery and molecular understanding. 🌟 The integration of multi-omics data, combining genomics, proteomics, and metabolomics, is offering a comprehensive view of biological systems, uncovering complex interactions like never before. 🧬 Lastly, the rise of personalized medicine, thanks to bioinformatics, is tailoring treatments to individual genetic makeup, improving patient outcomes and reducing side effects. 💡 #bioinformatics #computationalbiology #innovation

Pedro Baldoni, assistant professor, has a recently published paper in NAR Genomics & Bioinformatics titled “Faster and more accurate assessment of differential transcript expression with Gibbs sampling and edgeR v4.” The article presents enhancements to edgeR's divided-count approach for differential transcript expression analysis in RNA-seq data, resulting in a faster and more accurate analytical pipeline. Key improvements include replacing bootstrap with Gibbs resampling and upgrading to edgeR v4, which collectively enhance statistical power, reduce computational demands and improve accuracy for analyzing large datasets. To read more, visit the link below. https://lnkd.in/eU22BbM3

🟢 We are pleased to inform you that our R&D specialist Karolina Zięba, PhD is one of the co-authors of the recently published paper entitled "Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment". The article has been published in the renowned journal Proteins: Structure, Function and Bioinformatics and presents the results of research conducted on protein complexes in the latest edition of the CASP-CAPRI scientific experiment. The CASP-CAPRI experiment is a joint initiative of two scientific communities: CASP (Critical Assessment of Structure Prediction) and CAPRI (Critical Assessment of Predicted Interactions), involving many research groups from around the world engaged in computational prediction of protein structures and protein-protein complexes. CASP is an experiment involving the evaluation of protein structure prediction methods, while CAPRI focuses on assessing protein-protein interaction prediction methods. CASP-CAPRI combines these two strands of research, stimulating progress in both protein structure modeling and complex modeling. In the CASP-CAPRI experiment, structural predictions of protein complexes submitted by various scientific teams using different original predictive protocols are examined. These predictions are evaluated for their consistency with the actual structures of those complexes, deposited in the PDB database after completion of the predictions. 🎯 The aim of CASP-CAPRI is to stimulate the development of methods for predicting protein structures and their complexes by creating a platform for objective evaluation of these methods. This allows the identification of the best approaches and areas needing improvement. We encourage you to read the content of this article. #AlphaFold, #blindprediction, #CAPRI, #CASP, #deeplearning, #proteinassemblies, #proteincomplexes, #proteinproteininteraction #protein #prediction https://lnkd.in/dDkFS8hZ

Very nice opinion piece about RNA by Tom Cech.

Quantum Physics and Genetic Engineering Genetic Data Analysis: Quantum computers could analyze vast amounts of genetic data more efficiently, accelerating the discovery of new genetic markers for diseases and the development of personalized treatments. Drug Discovery: Quantum algorithms could simulate molecular interactions, aiding in the design of new drugs. By understanding the quantum dynamics of molecules, researchers may be able to develop more effective and targeted therapies. Genetic Editing: Quantum computing could enhance the precision and efficiency of genetic editing techniques, leading to new treatments for genetic diseases and the development of genetically engineered organisms with desirable traits.

Explore the world of bioinformatics with Smith-Waterman 3D Tool! 🧬 The Smith-Waterman algorithm is a powerful tool in bioinformatics used for comparing protein or DNA sequences to identify similarities and differences. It efficiently aligns sequences and calculates similarity scores, helping researchers pinpoint structural and functional similarities between biomolecules. Smith-Waterman 3D Tool is essential for biotechnological research, where it aids in understanding molecular evolution, identifying conserved regions in proteins, and predicting functional domains. This tool simplifies the analysis of genomic and proteomic data, allowing for precise comparisons that reveal crucial insights into biological processes. Start using Smith-Waterman 3D and enhance your biomolecular analysis and biotechnological research efforts! #Bioinformatics #SmithWaterman #Biotechnology #ProteinAlignment #DNAAlignment #ResearchRevolution Try it out at www.quandlelabs.com

AlphaFold 3 is a game-changer in biology! 🌟 Developed by Google Google DeepMind, this revolutionary AI model can predict the structure of proteins and other molecules with unprecedented accuracy, surpassing its predecessors by over 50%. 📈🔬 Scientists worldwide can now access the new AlphaFold server for non-commercial research, unlocking rapid discoveries in biology, drug development, and molecular structure understanding. 🌍🚀 #alphafold3 #airesearch #proteinstructure #molecularbiology #drugdiscovery #googledeepmind #sonnyarcot #arcotgroup #google #meta

Revolutionizing biology with AI! 🌟 AlphaFold 3, by Google DeepMind, is here to change how we understand life's molecules. With precision never seen before, it's not just science—it's our future! 🔬💡 #AlphaFold3 #DeepMind #RevolutionaryAI #FutureOfScience #BiologyInnovation #AlphaFold3 #Deepmind #scientificbreakthrough #proteinfolding #biologicalresearch #techforgood #aiinscience #google #meta #sonnyarcot #arcotgroup AlphaFold 3, DeepMind AI, Protein structure prediction, Scientific research technology, Molecular biology, Non-commercial research access, Innovations in science