429 citations · 610 across the 12 of their papers we have counts for
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cs.LG2021★ 14 cited
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
Yue Cao, Payel Das, Vijil Chenthamarakshan +3
Designing novel protein sequences for a desired 3D topological fold is a fundamental yet non-trivial task in protein engineering. Challenges exist due to the complex sequence--fold…
physics.chem-ph2021
Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations
Yair Schiff, Vijil Chenthamarakshan, Samuel Hoffman +2
Deep generative models have emerged as a powerful tool for learning useful molecular representations and designing novel molecules with desired properties, with applications in dru…