Classification and Prediction of Protein Side-Chains by Neural Network Techniques. - J. Irwin; Henrik G. Bohr; K. Mochizuki; Peter G. Wolynes (Int. J. Neural Syst., 1992)

A Bayesian Approach to Sequence Alignment Algorithms for Protein Structure Recognition. - Richard A. Goldstein; Zaida Luthey-Schulten; Peter G. Wolynes (HICSS (5), 1994)

Evaluating protein structure-prediction schemes using energy landscape theory. - Michael P. Eastwood; Corey Hardin; Zaida Luthey-Schulten; Peter G. Wolynes (IBM J. Res. Dev., 2001)

Folding funnels: The key to robust protein structure prediction. - Corey Hardin; Michael P. Eastwood; Michael C. Prentiss; Zaida Luthey-Schulten; Peter G. Wolynes (J. Comput. Chem., 2002)

The Energy Landscapes of Repeat-Containing Proteins: Topology, Cooperativity, and the Folding Funnels of One-Dimensional Architectures. - Diego U. Ferreiro; Aleksandra M. Walczak; Elizabeth A. Komives; Peter G. Wolynes (PLoS Comput. Biol., 2008)

The Energy Landscape, Folding Pathways and the Kinetics of a Knotted Protein. - Michael C. Prentiss; David J. Wales; Peter G. Wolynes (PLoS Comput. Biol., 2010)

Protein frustratometer: a tool to localize energetic frustration in protein molecules. - Michael Jenik; R. Gonzalo Parra; Leandro G. Radusky; Adrian Gustavo Turjanski; Peter G. Wolynes; Diego U. Ferreiro (Nucleic Acids Res., 2012)

Protein Frustratometer 2: a tool to localize energetic frustration in protein molecules, now with electrostatics. - R. Gonzalo Parra; Nicholas P. Schafer; Leandro G. Radusky; Min-Yeh Tsai; A. Brenda Guzovsky; Peter G. Wolynes; Diego U. Ferreiro (Nucleic Acids Res., 2016)

AWSEM-Suite: a protein structure prediction server based on template-guided, coevolutionary-enhanced optimized folding landscapes. - Shikai Jin; Vinícius G. Contessoto; Mingchen Chen; Nicholas P. Schafer; Wei Lu; Xun Chen; Carlos Bueno; Arya Hajitaheri; Brian J. Sirovetz; Aram Davtyan; Garegin A. Papoian; Min-Yeh Tsai; et al. (Nucleic Acids Res., 2020)

FrustratometeR: an R-package to compute local frustration in protein structures, point mutants and MD simulations. - Atilio O. Rausch; Maria I Freiberger; Cesar O. Leonetti; Diego M. Luna; Leandro G. Radusky; Peter G. Wolynes; Diego U. Ferreiro; R. Gonzalo Parra (Bioinform., 2021)

The Nucleome Data Bank: web-based resources to simulate and analyze the three-dimensional genome. - Vinícius G. Contessoto; Ryan R. Cheng; Arya Hajitaheri; Esteban Dodero-Rojas; Matheus F. Mello; Erez Lieberman Aiden; Peter G. Wolynes; Michele Di Pierro; José N. Onuchic (Nucleic Acids Res., 2021)

OpenAWSEM with Open3SPN2: A fast, flexible, and accessible framework for large-scale coarse-grained biomolecular simulations. - Wei Lu; Carlos Bueno; Nicholas P. Schafer; Joshua Moller; Shikai Jin; Xun Chen; Mingchen Chen; Xinyu Gu; Aram Davtyan; Juan J. de Pablo; Peter G. Wolynes (PLoS Comput. Biol., 2021)

A generalized Flory-Stockmayer kinetic theory of connectivity percolation and rigidity percolation of cytoskeletal networks. - Carlos Bueno; James Liman; Nicholas P. Schafer; Margaret S. Cheung; Peter G. Wolynes (PLoS Comput. Biol., 2022)

A structural dynamics model for how CPEB3 binding to SUMO2 can regulate translational control in dendritic spines. - Xinyu Gu; Nicholas P. Schafer; Carlos Bueno; Wei Lu; Peter G. Wolynes (PLoS Comput. Biol., 2022)