Data-driven supervised learning of a viral protease specificity landscape from deep sequencing and molecular simulations von Pethe, Manasi A., Rubenstein, Aliza B., Khare, Sagar D.

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MFPred: Rapid and accurate prediction of protein-peptide recognition multispecificity using self-consistent mean field theory von Rubenstein, Aliza B, Pethe, Manasi A, Khare, Sagar D

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Large-Scale Structure-Based Prediction and Identification of Novel Protease Substrates Using Computational Protein Design von Pethe, Manasi A., Rubenstein, Aliza B., Khare, Sagar D.

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Structure-Based Prediction of Protease Multispecificity using Computational Protein Design von Khare, Sagar D., Rubenstein, Aliza, Pethe, Manasi

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Large‐scale Structure‐based Prediction and Identification of Novel Protease Substrates using Computational Protein Design von Pethe, Manasi Abhay, Rubenstein, Aliza, Khare, Sagar D

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BEDAM binding free energy predictions for the SAMPL4 octa-acid host challenge von Gallicchio, Emilio, Chen, Haoyuan, Chen, He, Fitzgerald, Michael, Gao, Yang, He, Peng, Kalyanikar, Malathi, Kao, Chuan, Lu, Beidi, Niu, Yijie, Pethe, Manasi, Zhu, Jie, Levy, Ronald M.

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BEDAM binding free energy predictions for the SAMPL4 octa-acid host challenge von Gallicchio, Emilio, Chen, Haoyuan, Chen, He, Fitzgerald, Michael, Gao, Yang, He, Peng, Kalyanikar, Malathi, Kao, Chuan, Lu, Beidi, Niu, Yijie, Pethe, Manasi, Zhu, Jie, Levy, Ronald M.

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