Lei Shi, Ph.D.

Investigator

Molecular Targets and Medications Discovery Branch, Computational Chemistry and Molecular Biophysics Unit

NIDA

Triad Technology Center
333 Cassell Drive
Room 1121
Baltimore, MD 21224

443-740-2774

lei.shi2@nih.gov

Research Topics

Membrane proteins (MP) initiate intracellular signaling pathways, control the flow of energy and materials in and out of the cell, and thereby account for more than 30% of the entire proteome and 40% of drug targets. Research interests in the lab are focused on identifying common and specific structural basis of MP functions to advance the mechanistic understanding of key cellular processes, from the disparate yet intertwined perspectives of functional mechanisms and molecular recognition. Using a combined approach of computational and experimental analysis, we are interested in elucidating the atomistic details of allosteric conformational transitions and propagations during signal transduction and transport processes. In particular, we investigate the critical structural and dynamic elements that determine ligand binding specificities, the interactions among MP and their coupled proteins, and the associations of MP with the lipid bilayer. The findings allow us to rationally optimize existing and develop new compounds that shift the conformational equilibrium of MP, which will facilitate functional studies and lead to novel drug discovery.

Selected Publications

  1. Lane JR, Abramyan AM, Adhikari P, Keen AC, Lee KH, Sanchez J, Verma RK, Lim HD, Yano H, Javitch JA, Shi L. Distinct inactive conformations of the dopamine D2 and D3 receptors correspond to different extents of inverse agonism. Elife. 2020;9.

  2. Plenge P, Abramyan AM, Sørensen G, Mørk A, Weikop P, Gether U, Bang-Andersen B, Shi L, Loland CJ. The mechanism of a high-affinity allosteric inhibitor of the serotonin transporter. Nat Commun. 2020;11(1):1491.

  3. Abramyan AM, Yano H, Xu M, Liu L, Naing S, Fant AD, Shi L. The Glu102 mutation disrupts higher-order oligomerization of the sigma 1 receptor. Comput Struct Biotechnol J. 2020;18:199-206.

  4. Abramyan AM, Slack RD, Meena S, Davis BA, Newman AH, Singh SK, Shi L. Computation-guided analysis of paroxetine binding to hSERT reveals functionally important structural elements and dynamics. Neuropharmacology. 2019;161:107411.

  5. Verma RK, Abramyan AM, Michino M, Free RB, Sibley DR, Javitch JA, Lane JR, Shi L. The E2.65A mutation disrupts dynamic binding poses of SB269652 at the dopamine D2 and D3 receptors. PLoS Comput Biol. 2018;14(1):e1005948.


This page was last updated on November 2nd, 2018