Search Results for author: Po-Ssu Huang

Found 2 papers, 1 papers with code

ProGen: Language Modeling for Protein Generation

2 code implementations8 Mar 2020 Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher

Generative modeling for protein engineering is key to solving fundamental problems in synthetic biology, medicine, and material science.

Language Modelling

Fully differentiable full-atom protein backbone generation

no code implementations ICLR Workshop DeepGenStruct 2019 Namrata Anand, Raphael Eguchi, Po-Ssu Huang

The fast generation and refinement of protein backbones would constitute a major advancement to current methodology for the design and development of de novo proteins.

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