Author

Taylor Terry

Stevens Institute of Technology

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Biophysics· 1

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1

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I.-E. WuiD· 1 shared Lateefat A. KalejayeiD· 1 shared Pin‐Kuang LaiiD· 1 shared

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1 shared paperBiophysics

I.-E. WuORCID

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1 paper

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BiophysicsComputational and Structural Biotechnology JournalPeer-reviewedMay 18, 2024

DeepSP: Deep Learning-Based Spatial Properties to Predict Monoclonal Antibody Stability

Lateefat A. Kalejaye, I.-E. Wu, Taylor Terry, Pin‐Kuang Lai

This paper introduces DeepSP, a deep learning model that predicts spatial properties of monoclonal antibodies using sequence data, achieving high correlation with MD simulation results and enabling faster stability prediction.

27 citations

proteomicsdeep learning

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