Author

Edmond Y. Lau

Lawrence Livermore National LaboratoryORCID 0000-0003-0619-7249Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Adam T ZemlaiD· 2 shared Brent W. SegelkeiD· 2 shared Daniel FaissoliD· 2 shared Thomas DesautelsiD· 2 shared Fangqiang ZhuiD· 1 shared Kathryn T. ArrildtiD· 1 shared Luis M. de la MazaiD· 1 shared Magdalena Franco· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Adam T ZemlaORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 13, 2022

Sequence, Structure, and Epitope Analysis of the Polymorphic Membrane Protein Family in Chlamydia trachomatis

Patrick W. Cervantes, Brent W. Segelke, Edmond Y. Lau…·Patrik D’haeseleer

The paper analyzes the sequence, structure, and epitope features of polymorphic membrane proteins in Chlamydia trachomatis, identifying structural motifs and epitope localization.

1 citation

bacteria (other)protein sequence

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BioinformaticsbioRxivPreprintDec 16, 2021

SARS-COV-2 Omicron variant predicted to exhibit higher affinity to ACE-2 receptor and lower affinity to a large range of neutralizing antibodies, using a rapid computational platform

Adam T Zemla, Thomas Desautels, Edmond Y. Lau…·Daniel Faissol

The paper predicts the SARS-CoV-2 Omicron variant has higher ACE-2 binding affinity and reduced neutralizing antibody binding compared to Delta and other variants using computational methods.

4 citations

humanprotein structure

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BioinformaticsbioRxivPreprintApr 3, 2020

Rapid in silico design of antibodies targeting SARS-CoV-2 using machine learning and supercomputing

Thomas Desautels, Adam T Zemla, Edmond Y. Lau…·Daniel Faissol

This paper uses machine learning and supercomputing to design antibodies targeting SARS-CoV-2, generating 20 antibody sequences with improved binding energy to the RBD.

22 citations

protein structuremachine learning (classical)

𝕏 PostBluesky