Author

Colby J. Wise

Amazon (United States)

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Synthetic Biology· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Emmanuel Oluwatobi SalawuiD· 1 shared George PriceiD· 1 shared Miguel Romero Calvo· 1 shared Nataliya GolovachiD· 1 shared Panpan XuiD· 1 shared Peter ClarkiD· 1 shared Ryan M. BrandiD· 1 shared Sri Priya PonnapalliiD· 1 shared

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2021-2021 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperSynthetic Biology

Emmanuel Oluwatobi SalawuORCID

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1 paper

Recent·Most cited

LM-GVP: A Generalizable Deep Learning Framework for Protein Property Prediction from Sequence and Structure

Zichen Wang, Steven A. Combs, Ryan M. Brand, Miguel Romero Calvo, Panpan Xu, George Price, Nataliya Golovach, Emmanuel Oluwatobi Salawu, Colby J. Wise, Sri Priya Ponnapalli, Peter Clark

This study introduces LM-GVP, a deep learning framework combining a protein Language Model and Graph Neural Network to predict protein properties from sequence and structure, outperforming existing methods on fluorescence, protease stability, and Gene Ontology function prediction.

bioRxiv · Sep 21, 2021 · PreprintSynthetic Biology