Author

Charlie E. M. Strauss

Los Alamos National LaboratoryORCID 0000-0003-3639-4673Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein sequence· 2 Research Focus:sequence-to-function modeling· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Daniel BerenbergiD· 2 shared James T. MortoniD· 2 shared Richard BonneauiD· 2 shared Robert BlackwelliD· 2 shared Vladimir GligorijevićiD· 2 shared Julia Koehler LemaniD· 1 shared Kyunghyun ChoiD· 1 shared Nicholas John Carriero· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Daniel BerenbergORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 25, 2022

TM-Vec: template modeling vectors for fast homology detection and alignment

Tymor Hamamsy, James T. Morton, Daniel Berenberg…·Richard Bonneau

TM-Vec predicts structural similarity from sequence pairs to detect remote homologs, outperforming sequence alignment methods and matching structure-based alignment performance.

17 citations

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 3, 2020

Protein Structural Alignments From Sequence

James T. Morton, Charlie E. M. Strauss, Robert Blackwell…·Richard Bonneau

The paper introduces DeepBLAST, a method using protein language model embeddings to generate explicit sequence alignments, improving speed and accuracy for structurally similar proteins.

17 citations

protein sequencedeep learning

𝕏 PostBluesky