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Biorxiv : the Preprint Server for Biology|March 17, 2025
AF3Complex Yields Improved Structural Predictions of Protein ComplexesJonathan Feldman, Jeffrey SkolnickMedrxiv : the Preprint Server for Health Sciences|May 7, 2026
A reliability-screened thalamocortical control-network phenotype tracks cocaine-use history in cocaine use disorderBrice Edelman, Jeffrey SkolnickProceedings of the National Academy of Sciences of the United States of America|October 13, 2010
Crowding and hydrodynamic interactions likely dominate in vivo macromolecular motionTadashi Ando, Jeffrey SkolnickBioinformatics (Oxford, England)|June 11, 2016
A knowledge-based approach for predicting gene-disease associationsHongyi Zhou, Jeffrey SkolnickBiophysical Journal|June 8, 2017
DNA Internal Motion Likely Accelerates Protein Target Search in a Packed NucleoidEdmond Chow, Jeffrey SkolnickBioinformatics (Oxford, England)|September 22, 2020
A novel sequence alignment algorithm based on deep learning of the protein folding codeMu Gao, Jeffrey SkolnickFrontiers 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 SkolnickPageof 107