Author

Bryan McCann

Salesforce (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:multiple species· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:transformer / foundation model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Ali MadaniiD· 1 shared Namrata AnandiD· 1 shared Nikhil NaikiD· 1 shared Nitish Shirish KeskariD· 1 shared Po‐Ssu HuangiD· 1 shared Raphael R. EguchiiD· 1 shared Richard SocheriD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperSynthetic Biology

Ali MadaniORCID

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1 paper

Recent·Most cited

ProGen: Language Modeling for Protein Generation

Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po‐Ssu Huang, Richard Socher

A 1.2B-parameter autoregressive model trained on 280M tagged sequences completes held-out proteins with near-native Rosetta energies and ranks high-fitness GB1 variants without any GB1 training.

bioRxiv · Mar 7, 2020 · PreprintSynthetic Biology✦ In-depth digest