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Journal of Biomedical Informatics|March 7, 2026
Scalable discovery and validation of order-specific electronic health record event trajectories for interpretable adverse-outcome risk estimationBrice Edelman, Hannah Kim, Jeffrey SkolnickScientific Reports|March 7, 2019
DESTINI: A deep-learning approach to contact-driven protein structure predictionMu Gao, Hongyi Zhou, Jeffrey SkolnickJournal of Chemical Information and Modeling|October 3, 2018
FINDSITE<sup>comb2.0</sup>: A New Approach for Virtual Ligand Screening of Proteins and Virtual Target Screening of BiomoleculesHongyi Zhou, Hongnan Cao, Jeffrey SkolnickComputational and Structural Biotechnology Journal|June 30, 2026
Adversarial Sequence Mutations in AlphaFold and ESMFold Reveal Nonphysical Structural Invariance, Confidence Failures, and Concerns for Protein DesignJonathan Feldman, Maximilian Brogi, Jeffrey SkolnickBiophysical Journal|March 1, 2003
A minimal physically realistic protein-like lattice model: designing an energy landscape that ensures all-or-none folding to a unique native statePiotr Pokarowski, Andrzej Kolinski, Jeffrey SkolnickStructure (London, England : 1993)|June 2, 2015
Insights into Disease-Associated Mutations in the Human Proteome through Protein Structural AnalysisMu Gao, Hongyi Zhou, Jeffrey SkolnickBiophysical Journal|August 10, 2004
Application of sparse NMR restraints to large-scale protein structure predictionWei Li, Yang Zhang, Jeffrey SkolnickPhysical Chemistry Chemical Physics : PCCP|June 10, 2011
Why not consider a spherical protein? Implications of backbone hydrogen bonding for protein structure and functionMichal Brylinski, Mu Gao, Jeffrey SkolnickBiophysical Journal|November 5, 2002
Numerical study of the entropy loss of dimerization and the folding thermodynamics of the GCN4 leucine zipperJorge Viñals, Andrzej Kolinski, Jeffrey SkolnickProteins|July 12, 2002
Local energy landscape flattening: parallel hyperbolic Monte Carlo sampling of protein foldingYang Zhang, Daisuke Kihara, Jeffrey SkolnickPageof 270