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Poster
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Wed 14:00
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Exploring evolution-aware & -free protein language models as protein function predictors
Mingyang Hu · Fajie Yuan · Kevin Yang · Fusong Ju · Jin Su · Hui Wang · Fei Yang · Qiuyang Ding
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Poster
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Wed 14:00
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Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness
Eli Weinstein · Alan Amin · Jonathan Frazer · Debora Marks
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Poster
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Tue 14:00
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Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
Arian Jamasb · Ramon Viñas Torné · Eric Ma · Yuanqi Du · Charles Harris · Kexin Huang · Dominic Hall · Pietro Lió · Tom Blundell
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Poster
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Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures
Shitong Luo · Yufeng Su · Xingang Peng · Sheng Wang · Jian Peng · Jianzhu Ma
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Workshop
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Improving Protein Subcellular Localization Prediction with Structural Prediction & Graph Neural Networks
Geoffroy Dubourg-Felonneau · Arash Abbasi · Eyal Akiva · Lawrence Lee
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Workshop
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EquiFold: Protein Structure Prediction with a Novel Coarse-Grained Structure Representation
Jae Hyeon Lee · Payman Yadollahpour · Andrew Watkins · Nathan Frey · Andrew Leaver-Fay · Stephen Ra · Vladimir Gligorijevic · Kyunghyun Cho · Aviv Regev · Richard Bonneau
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Workshop
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Large-scale self-supervised pre-training on protein three-dimensional structures
Ilya Senatorov
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Workshop
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A Benchmark Framework for Evaluating Structure-to-Sequence Models for Protein Design
Jeffrey Chan · Seyone Chithrananda · David Brookes · Sam Sinai
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Workshop
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Predicting Immune Escape with Pretrained Protein Language Model Embeddings
Kyle Swanson · Howard Chang · James Zou
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