Author

Kangway V. Chuang

GenentechORCID 0000-0002-0652-8071Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Anh Miu· 1 shared Aviv RegeviD· 1 shared Elizabeth Skippington· 1 shared Gabriele ScaliaiD· 1 shared Gregory J. ZyndaiD· 1 shared Jan-Christian HütteriD· 1 shared Jeff Blaney· 1 shared Jerome-Maxim LuescheriD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Anh Miu

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1 paper

Recent·Most cited

A high-throughput phenotypic screen combined with an ultra-large-scale deep learning-based virtual screening reveals novel scaffolds of antibacterial compounds

Gabriele Scalia, Steven T. Rutherford, Ziqing Lu, Kerry R. Buchholz, Nicholas J. Skelton, Kangway V. Chuang, Nathaniel Diamant, Jan-Christian Hütter, Jerome-Maxim Luescher, Anh Miu, Jeff Blaney, Leo Gendelev, Elizabeth Skippington, Gregory J. Zynda, Nia Dickson, , Tommaso Biancalani

This study combines high-throughput screening with deep learning to identify novel antibacterial compounds, achieving a 90X higher hit rate than traditional methods.

bioRxiv · Sep 11, 2024 · PreprintBioinformatics