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BMC Bioinformatics|November 12, 2023
Statistical modeling to quantify the uncertainty of FoldX-predicted protein folding and binding stabilityYesol Sapozhnikov, Jagdish Suresh Patel, F Marty Ytreberg, et al.Plos One|March 22, 2019
Expanding the watch list for potential Ebola virus antibody escape mutationsJagdish Suresh Patel, Caleb J Quates, Erin L Johnson, et al.Plos Computational Biology|January 25, 2018
Predicting peak spectral sensitivities of vertebrate cone visual pigments using atomistic molecular simulationsJagdish Suresh Patel, Celeste J Brown, F Marty Ytreberg, et al.Plos One|November 19, 2014
Changing folding and binding stability in a viral coat protein: a comparison between substitutions accessible through mutation and those fixed by natural selectionCraig R Miller, Kuo Hao Lee, Holly A Wichman, et al.Astrobiology|November 16, 2019
Protein Stability in Titan's Subsurface Water OceanKyle P Martin, Shannon M MacKenzie, Jason W Barnes, et al.Plos One|June 3, 2025
Discovery of novel targets for important human and plant fungal pathogens via an automated computational pipeline HitListDavid E Condon, Brenda K Schroeder, Paul A Rowley, et al.Methods in Molecular Biology (Clifton, N.J.)|July 5, 2012
Using chemical shifts to assess transient secondary structure and generate ensemble structures of intrinsically disordered proteinsStepan Kashtanov, Wade Borcherds, Hongwei Wu, et al.Biorxiv : the Preprint Server for Biology|October 10, 2024
Leveraging neural networks to correct FoldX free energy estimatesJonathan E Barnes, L América Chi, F Marty Ytreberg, et al.Scientific Reports|October 4, 2024
Exploring the ability of the MD+FoldX method to predict SARS-CoV-2 antibody escape mutations using large-scale dataL América Chi, Jonathan E Barnes, Jagdish Suresh Patel, et al.Biorxiv : the Preprint Server for Biology|June 3, 2024
Exploring the ability of the MD+FoldX method to predict SARS-CoV-2 antibody escape mutations using large-scale dataL América Chi, Jonathan E Barnes, Jagdish Suresh Patel, et al.Pageof 6