1 citations · 2 across the 4 of their papers we have counts for
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Probabilistic Steering of Generative Priors for Lab-in-the-Loop Antibody Optimization
Anisha Parsan, Sebastian Ober, Calvin McCarter +2
Therapeutic antibody development is often framed as comprising two discrete stages: initial discovery of novel binders followed by iterative optimization to refine these hits into…
Mechanistic Interpretability of Antibody Language Models Using SAEs
Rebonto Haque, Oliver M. Turnbull, Anisha Parsan +4
Sparse autoencoders (SAEs) are a mechanistic interpretability technique that have been used to provide insight into learned concepts within large protein language models. Here, we…
BindEnergyCraft: Casting Protein Structure Predictors as Energy-Based Models for Binder Design
Divya Nori, Anisha Parsan, Caroline Uhler +1
Protein binder design has been transformed by hallucination-based methods that optimize structure prediction confidence metrics, such as the interface predicted TM-score (ipTM), vi…