Author

Yam Peleg

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Organism:multiple species· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Dan OferiD· 1 shared Michal Linial BiD· 1 shared Nadav BrandesiD· 1 shared Nadav RappoportiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 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

Dan OferORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

ProteinBERT: A universal deep-learning model of protein sequence and function

Nadav Brandes, Dan Ofer, Yam Peleg, Nadav Rappoport, Michal Linial B

A ~16M-parameter protein language model, pretrained on ~106M UniRef90 proteins by denoising sequences and Gene Ontology annotations, rivals larger TAPE models using linear-cost global attention.

Bioinformatics · Jan 8, 2022Peer-reviewedBioinformatics✦ In-depth digest