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Poster
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Tue 15:15
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ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers
Pascal Notin · Ruben Weitzman · Debora Marks · Yarin Gal
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Workshop
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AbLEF: Antibody Language Ensemble Fusion for thermodynamically empowered property predictions
Zachary Rollins · Talal Widatalla · Andrew Waight · Alan Cheng · Essam Metwally
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Workshop
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Pair-EGRET: Enhancing the prediction of protein-protein interaction sites through graph attention networks and protein language models
Ramisa Alam · Sazan Mahbub · Md. Shamsuzzoha Bayzid
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Workshop
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Parameter-Efficient Fine Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions
Samuel Sledzieski · Meghana Kshirsagar · Rahul Dodhia · Bonnie Berger · Juan Lavista Ferres
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Workshop
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DSMBind: an unsupervised generative modeling framework for binding energy prediction
Wengong Jin · Caroline Uhler · Nir HaCohen
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Poster
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Tue 8:45
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Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model
Shiwei Liu · Tian Zhu · Milong Ren · Chungong Yu · Dongbo Bu · Haicang Zhang
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Workshop
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DiffDock-Site: A Novel Paradigm for Enhanced Protein-Ligand Predictions through Binding Site Identification
Huanlei Guo · Song LIU · Mingdi HU · Yilun Lou · Bingyi Jing
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Workshop
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DiffDock-Site: A Novel Paradigm for Enhanced Protein-Ligand Predictions through Binding Site Identification
Huanlei Guo · Song LIU · Mingdi HU · Yilun Lou · Bingyi Jing
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Poster
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Tue 15:15
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Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
Wengong Jin · Siranush Sarkizova · Xun Chen · Nir HaCohen · Caroline Uhler
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Workshop
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TrustAffinity: accurate, reliable and scalable out-of-distribution protein-ligand binding affinity prediction using trustworthy deep learning
Amitesh Badkul · Li Xie · Shuo Zhang · Lei Xie
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Workshop
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DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model
Wei Lu · Jixian Zhang · Huang Weifeng · Ziqiao Zhang · Chengtao Li · Shuangjia Zheng
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Workshop
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ProteinRL: Reinforcement learning with generative protein language models for property-directed sequence design
Matt Sternke · Joel Karpiak
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