Time Title Authors Live
11:05 - 11:35Protein representation learning: Beyond borrowing from Natural Language Processing and Computer VisionKevin YangNo
11:35 - 11:50Single Layers of Attention Suffice to Predict Protein ContactsNeil ThomasNo
11:50 - 11:55Evotuning protocols for Transformer-based variant effect prediction on multi-domain proteinsHideki YamaguchiYes
11:55 - 12:00ProteinBERT: A universal deep-learning model of protein sequence and functionDan OferYes
12:00 - 12:05Graph attention network based representation learning for cancer drug response prediction and interpretationDionizije FaNo
12:05 - 12:20Architectures and training proceduresAlex RivesYes
12:40 - 12:55AI-driven engineering of the immune systemMaria Rodriguez MartinezNo
12:55 - 13:00HydrAMP: a deep generative model for antimicrobial peptide discoveryPaulina Anna SzymczakYes
13:00 - 13:05Random Walk-­based Matrix Factorization of a Multi­layer Network for Protein Function PredictionSurabhi VasantraoNo
13:05 - 13:10Light Attention Predicts Protein Location from the Language of LifeHannes Axel StärkYes
13:10 - 13:15Guided Generative Protein Design using Regularized TransformersEgbert CastroNo
13:15 - 13:30Geometric and Topological Approaches to Representation Learning in Biomedical DataSmita KrishnaswamyYes
13:30 - 13:45ChemBERTa: Self-supervised pretraining for molecular property prediction Bharath RamsundarYes
13:45 - 14:00Short DNA sequence embeddings uncover metagenome function Yana BrombergYes
14:20 - 14:35Decoding language of life written in protein sequencesBurkhard Rost Yes
14:35 - 14:40Efficient Design of Optimized AAV Capsids using Multi-property Machine Learning Models Trained across Cells, Organs and SpeciesFarhan DamaniYes
14:40 - 14:45Multimodal data visualization and denoising with integrated diffusionManik KuchrooYes
14:45 - 15:15Session ClosingSmita KrishnaswamyYes