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Jennifer Listgarten

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How machine learning is influencing protein engineeringUnknown Futures of Generalization 20242024-12-02
Field reports that AlphaFold and inverse folding models enable structure-to-sequence pipelines but fail for enzymes and dynamic conformations; the work shows…
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Machine Learning-Based Design Of ProteinsLearning from Interventions 20222022-02-14
Machine learning trains a predictive model on assay data for a seven‑amino‑acid insertion in the AAV capsid, then optimizes a distribution over sequences…
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Panel DiscussionLearning from Interventions 20222022-02-14
Panelists argue that the missingness‑indicator approach fails under observational unconfoundedness and under conditioning on missingness patterns, with…
Panel
Machine Learning-based Design of Proteins and Small MoleculesEmerging Challenges in Deep Learning (Simons Institute workshop, 2019)2019-08-05
Frames protein and small‑molecule design as a practical model-based optimization problem that replaces slow assays with a deep‑net stochastic oracle, then…
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