⚛️ Can spherical voxelization improve how AI interprets protein chemistry and interactions?
🔗 SpheronizaTor: Spherical Voxelization for Interpretable Protein Microenvironment Modeling. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0076
📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj
#StructuralBiology #Bioinformatics #ComputationalBiology #ProteinStructure #ArtificialIntelligence #ProteinEngineering #ProteinModeling
🧬 Could a single residue swap turn a life-saving antibody into a “dead mutant”?
🔗 Replacement of a single residue in an antibody abolishes cognate antigen binding, as predicted by theoretical methods. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.10.018
📚 CSBJ: https://www.csbj.org/
#AntibodyEngineering #StructuralBiology #ComputationalBiology #ProteinModeling #Biophysics #Diagnostics #MolecularDynamics #MolecularSimulation #InfraredSpectroscopy #FTIR
🦟 Could smarter protein modeling unlock eco-friendly pest control?
🔗 TBM preferred to AlphaFold 3 for functional models of insect odorant receptors. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.08.028
📚 CSBJ: https://www.csbj.org/
#ComputationalBiology #StructuralBiology #Bioinformatics #ProteinModeling #AlphaFold #MolecularDocking #DrugDiscovery #InsectScience #AIinBiology #TransmembraneProteins
"Researchers glimpse the inner workings of #protein language models"
https://news.mit.edu/2025/researchers-glimpse-inner-workings-protein-language-models-0818
MIT researchers used sparse autoencoders to shed light on the inner workings of protein language models, an advance that could streamline the process of identifying new drugs or vaccine targets.
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It evokes four globular chains of interacting proteins, as #SWISS-MODEL allows to model protein complexes in 3D. Discover this leading #ProteinStructure homology-modelling platform, one of the 14 leading Open Science bioinformatics resources developed by our teams to serve millions of scientists.
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CSBJ
Jesus Castagnetto 🇵🇪
SIB Swiss Bioinformatics