Buwei Huang - Xaira Therapeutics | LinkedIn (original) (raw)
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- The Antibody Society In newly posted paper, Google DeepMind and Isomorphic Labs authors provide insights into the use of AlphaFold 3 to accurately model biomolecular interactions. From the abstract: In this paper, we describe our AlphaFold 3 model with a substantially updated diffusion-based architecture, which is capable of joint structure prediction of complexes including proteins, nucleic acids, small molecules, ions, and modified residues. The new AlphaFold model demonstrates significantly improved accuracy over many previous specialised tools: far greater accuracy on protein-ligand interactions than state of the art docking tools, much higher accuracy on protein-nucleic acid interactions than nucleic-acid-specific predictors, and significantly higher antibody-antigen prediction accuracy than AlphaFold-Multimer v2.37,8. Together these results show that high accuracy modelling across biomolecular space is possible within a single unified deep learning framework. https://lnkd.in/eES3JrJW
- Jesse Meyer Single-cell omics is booming, but analyzing this data requires complex pipelines that may be difficult to assemble, share and reproduce. We built the Platform for Single Cell Science (PSCS), a new web platform that simplifies the process! Single-cell omics analysis is challenging due to complex pipelines, inconsistent results across computing environments, and the need for advanced coding skills. PSCS (Platform for Single-Cell Science) addresses these challenges by offering a user-friendly solution. With PSCS, you can design analysis pipelines using a drag-and-drop interface, eliminating the need for coding. Run your analyses on a powerful computing grid for fast and reliable results. Then, share your data, pipelines, and results with collaborators, fostering open science and reproducibility. PSCS ensures reproducibility by versioning analyses, running them in consistent computing environments, and making data and results easily accessible. It can handle even complex analyses, like integrating data from multiple sources (e.g., protein & RNA). Moreover, PSCS empowers researchers to develop and share their own analysis tools, promoting collaboration and innovation in the field. Want to learn more? Check out the PSCS preprint: https://lnkd.in/g9QbyaYM And please test the platform with your own data and let us know if you have any feedback: https://pscs.xods.org/ #SingleCellOmics #OpenScience
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