Author

Humood N. Alanzi

University of WashingtonORCID 0009-0008-1272-0511Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:Drosophila· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

David A. C. BeckiD· 2 shared Evan KompiD· 2 shared Amin Mosallanejad· 1 shared Chau Vuong· 1 shared Christian PhillipsiD· 1 shared Logan Roberts· 1 shared Marlo L. ZormaniD· 1 shared Ryan M. FrancisiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

David A. C. BeckORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 6, 2024

A learnable transition from low temperature to high temperature proteins with neural machine translation

Evan Komp, Christian Phillips, Humood N. Alanzi…·David A. C. Beck

This paper introduces NOMELT, a neural machine translation model that designs high-temperature stable proteins by learning thermophilicity from protein homologous pairs.

DOI 10.1101/2024.02.06.579188

Drosophilaprotein sequence

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BioinformaticsScientific DataPeer-reviewedOct 7, 2023

Homologous Pairs of Low and High Temperature Originating Proteins Spanning the Known Prokaryotic Universe

Evan Komp, Humood N. Alanzi, Ryan M. Francis…·David A. C. Beck

The paper curates a large dataset of protein-temperature pairs and demonstrates its potential for deep learning to improve thermal stability design.

7 citations

proteomicsdeep learning

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