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Frontiers in Bioinformatics|July 26, 2021
A General Framework to Learn Tertiary Structure for Protein Sequence CharacterizationMu Gao, Jeffrey SkolnickProteins|February 3, 2011
FINDSITE-metal: integrating evolutionary information and machine learning for structure-based metal-binding site prediction at the proteome levelMichal Brylinski, Jeffrey SkolnickJournal of Computational Chemistry|January 4, 2008
Assessment of programs for ligand binding affinity predictionRyangguk Kim, Jeffrey SkolnickPlos Computational Biology|December 16, 2014
Sliding of proteins non-specifically bound to DNA: Brownian dynamics studies with coarse-grained protein and DNA modelsTadashi Ando, Jeffrey SkolnickJournal of Computational Chemistry|March 8, 2007
Origin of intrinsic 3(10)-helix versus strand stability in homopolypeptides and its implications for the accuracy of the Amber force fieldAnna Jagielska, Jeffrey SkolnickPlos Computational Biology|June 9, 2009
FINDSITE: a threading-based approach to ligand homology modelingMichal Brylinski, Jeffrey SkolnickBioinformatics (Oxford, England)|January 22, 2013
APoc: large-scale identification of similar protein pocketsMu Gao, Jeffrey SkolnickBiorxiv : the Preprint Server for Biology|May 4, 2026
AlphaInterp: Probing AlphaFold 3's Internal Representations Reveals Evolutionary Determinants of Predicted Structure and ConfidenceJonathan Feldman, Jeffrey SkolnickBiorxiv : the Preprint Server for Biology|April 10, 2026
PHENOCAUZ: Linking Human Symptoms, Drug Side Effects and Efficacy to Their Molecular Causes Using Mendelian Disease BiologyHongyi Zhou, Jeffrey SkolnickQuantum Bio-Informatics V : Proceedings of the Quantum Bio-Informatics 2011, Tokyo University of Science, Japan, 7-12 March 2011. Quantum Bio-Informatics (Conference) (5Th : 2011 : Tokyo, Japan)|January 20, 2015
IMPORTANCE OF EXCLUDED VOLUME AND HYDRODYNAMIC INTERACTIONS ON MACROMOLECULAR DIFFUSION <i>IN VIVO.</i>Tadashi Ando, Jeffrey SkolnickPageof 270