Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates. - Yuedong Yang; Eshel Faraggi; Huiying Zhao; Yaoqi Zhou (Bioinform., 2011)

SPINE X: Improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles. - Eshel Faraggi; Tuo Zhang; Yuedong Yang; Lukasz A. Kurgan; Yaoqi Zhou (J. Comput. Chem., 2012)

Entropy, Fluctuations, and Disordered Proteins. - Eshel Faraggi; A. Keith Dunker; Robert L. Jernigan; Andrzej Kloczkowski (Entropy, 2019)

Many-to-One Binding by Intrinsically Disordered Protein Regions. - Wei-Lun Alterovitz; Eshel Faraggi; Christopher J. Oldfield; Jingwei Meng; Bin Xue; Fei Huang; Pedro Romero; Andrzej Kloczkowski; Vladimir N. Uversky; A. Keith Dunker (PSB, 2020)

A Hybrid Levenberg-Marquardt Algorithm on a Recursive Neural Network for Scoring Protein Models. - Eshel Faraggi; Robert L. Jernigan; Andrzej Kloczkowski (Artificial Neural Networks, 3rd Edition, 2021)

DescribePROT: database of amino acid-level protein structure and function predictions. - Bi Zhao; Akila Katuwawala; Christopher J. Oldfield; A. Keith Dunker; Eshel Faraggi; Jörg Gsponer; Andrzej Kloczkowski; Nawar Malhis; Milot Mirdita; Zoran Obradovic; Johannes Söding; Martin Steinegger; et al. (Nucleic Acids Res., 2021)

Prediction of Functional Effects of Protein Amino Acid Mutations. - Óscar Álvarez-Machancoses; Eshel Faraggi; Enrique J. de Andrés-Galiana; Juan Luis Fernández Martínez; Andrzej Kloczkowski (IWBBIO (2), 2023)

Machine Learning-Based Tool for Efficient Discrimination Between Deleterious and Neutral Missense Mutations. - Eshel Faraggi; Robert L. Jernigan; Andrzej Kloczkowski (ICAISC (3), 2024)