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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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In vitro validated antibody design against multiple therapeutic antigens using generative inverse folding
Amir Shanehsazzadeh
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Workshop
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In vitro validated antibody design against multiple therapeutic antigens using generative inverse folding
Amir Shanehsazzadeh
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Workshop
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In vitro validated antibody design against multiple therapeutic antigens using generative inverse folding
Amir Shanehsazzadeh
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Workshop
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AF2BIND: Predicting ligand-binding sites using the pair representation of AlphaFold2
Artem Gazizov · Anna Lian · Casper Goverde · Sergey Ovchinnikov · Nicholas Polizzi
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Workshop
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Fri 8:40
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DSMBind: an unsupervised generative modeling framework for binding energy prediction
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Workshop
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CoarsenConf: Equivariant Coarsening with Aggregated Attention for Molecular Conformer Generation
Danny Reidenbach · Aditi Krishnapriyan
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Workshop
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Machine Learning Guided AQFEP: A Fast & Efficient Absolute Free Energy Perturbation Solution for Virtual Screening
Jordan Crivelli-Decker · Zane Beckwith · Gary Tom · Ly Le · Sheenam Khuttan · Romelia Salomon-Ferrer · Jackson Beall · Andrea Bortolato
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Workshop
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Evaluating Zero-Shot Scoring for In Vitro Antibody Binding Prediction with Experimental Validation
Divya Nori · Simon Mathis · Amir Shanehsazzadeh
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Workshop
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Fri 7:05
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Invited Talk 1 - Wengong Jin (MIT) - DSMBind: SE(3) denoising score matching for unsupervised binding energy prediction and nanobody design
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Workshop
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Evaluating Zero-Shot Scoring for In Vitro Antibody Binding Prediction with Experimental Validation
Divya Nori · Simon Mathis · Amir Shanehsazzadeh
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Workshop
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Evaluating Zero-Shot Scoring for In Vitro Antibody Binding Prediction with Experimental Validation
Divya Nori · Simon Mathis · Amir Shanehsazzadeh
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