Author

Muhammad Abdul-Mageed

University of British ColumbiaORCID 0000-0002-8590-2040Unclaimed 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

Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Boyan SuniD· 1 shared Cheng ChangiD· 1 shared Guangshuai Wang· 1 shared Guibin WangiD· 1 shared Laks V. S. LakshmananiD· 1 shared Leyuan LiiD· 1 shared Nanqing DongiD· 1 shared Sheng XuiD· 1 shared

Activity by Year

2024-2024 · 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

Boyan SunORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 17, 2024

π-PrimeNovo: An Accurate and Efficient Non-Autoregressive Deep Learning Model for De Novo Peptide Sequencing

Xiang Zhang, Tianze Ling, Zhi Xiang Jin…·Siqi Sun

π-PrimeNovo is a non-autoregressive deep learning model for de novo peptide sequencing that achieves higher accuracy and 69x faster performance than existing methods.

1 citation

proteomicsdeep learning

𝕏 PostBluesky