Building a protein name dictionary from full text: a machine learning term extraction approach. - Lei Shi 006; Fabien Campagne (BMC Bioinform., 2005)

TRAC: A Platform for Structure-Function Studies of NSS-Proteins Integrates Information from Bioinformatics and Biomedical Literature. - Lei Shi 006; Marko Srdanovic; Thijs Beuming; Lucy Skrabanek; Jonathan A. Javitch; Harel Weinstein (BIBE, 2010)

Exploring Substrate Binding in the Extracellular Vestibule of MhsT by Atomistic Simulations and Markov Models. - Ara M. Abramyan; Matthias Quick; Catherine Xue; Jonathan A. Javitch; Lei Shi 006 (J. Chem. Inf. Model., 2018)

The E2.65A mutation disrupts dynamic binding poses of SB269652 at the dopamine D2 and D3 receptors. - Ravi Kumar Verma; Ara M. Abramyan; Mayako Michino; R. Benjamin Free; David R. Sibley; Jonathan A. Javitch; Jonathan Robert Lane; Lei Shi 006 (PLoS Comput. Biol., 2018)

Toward Reducing hERG Affinities for DAT Inhibitors with a Combined Machine Learning and Molecular Modeling Approach. - Kuo-Hao Lee; Andrew D. Fant; Jiqing Guo; Andy Guan; Joslyn Jung; Mary Kudaibergenova; Williams E. Miranda; Therese Ku; Jianjing Cao; Soren Wacker; Henry J. Duff; Amy Hauck Newman; et al. (J. Chem. Inf. Model., 2021)

A Novel "Activation Switch" Motif Common to All Aminergic Receptors. - Kuo-Hao Lee; Jamie J. Manning; Jonathan A. Javitch; Lei Shi 006 (J. Chem. Inf. Model., 2023)

Unraveling Activation-Related Rearrangements and Intrinsic Divergence from Ligand-Specific Conformational Changes of the Dopamine D3 and D2 Receptors. - Kuo-Hao Lee; Lei Shi 006 (J. Chem. Inf. Model., 2024)

Decoding the Structure-Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches. - Sung Joon Won; Benjoe Rey B. Visayas; Kuo-Hao Lee; Rey Y. Capangpangan; Lei Shi 006 (J. Chem. Inf. Model., 2025)