Author

Michael E. Smoot

Synthetic Genomics (United States)ORCID 0000-0002-0584-6537Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Ana R Grant· 1 shared Ariel S Schwartz· 1 shared Arjun K. Bansal· 1 shared Gregory HannumiD· 1 shared Harini EavaniiD· 1 shared Jason M. KnightiD· 1 shared Jonathan R Eads· 1 shared Matthew C. LaFaveiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Ana R Grant

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Deep Semantic Protein Representation for Annotation, Discovery, and Engineering

Ariel S Schwartz, Gregory Hannum, Zach Dwiel, Michael E. Smoot, Ana R Grant, Jason M. Knight, Scott A. Becker, Jonathan R Eads, Matthew C. LaFave, Harini Eavani, Yinyin Liu, Arjun K. Bansal, Toby H. Richardson

D-SPACE provides a deep learning model for protein function annotation and discovery, enabling fast and accurate functional classification and mutation effect quantification.

bioRxiv · Jul 10, 2018 · PreprintBioinformatics