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Workshop
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ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions
Matan Halfon · Dina Schneidman · Tomer Cohen · raanan fattal
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Workshop
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Protein Sequence Design in a Latent Space via Model-based Reinforcement Learning
Minji Lee · Luiz Felipe Vecchietti · Hyunkyu Jung · Hyunjoo Ro · Ho Min Kim · Meeyoung Cha
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Workshop
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Tuned Quadratic Landscapes for Benchmarking Model-Guided Protein Design
Neil Thomas · Atish Agarwala · David Belanger · Yun Song · Lucy Colwell
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Workshop
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DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso · Hannes Stärk · Bowen Jing · Regina Barzilay · Tommi Jaakkola
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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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T-cell receptor specific protein language model for prediction and interpretation of epitope binding (ProtLM.TCR)
Ahmed Essaghir
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Workshop
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Pretrained protein language model transfer learning: is the final layer representation what we want?
Francesca-Zhoufan Li · Ava Soleimany · Kevin Yang · Alex X Lu
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Workshop
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Adversarial Attacks on Protein Language Models
Ginevra Carbone · Francesca Cuturello · Luca Bortolussi · Alberto Cazzaniga
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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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Workshop
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Training self-supervised peptide sequence models on artificially chopped proteins
Gil Sadeh · Zichen Wang · Jasleen Grewal · Huzefa Rangwala · Layne Price
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Workshop
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Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand · Tudor Achim
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Workshop
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Seq2MSA: A Language Model for Protein Sequence Diversification
Pascal Sturmfels · Roshan Rao · Robert Verkuil · Zeming Lin · Tom Sercu · Adam Lerer · Alex Rives
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