Mapping the Binding\nHotspots and Transient Binding\nPockets on V‑Domain Immunoglobulin Suppressor of T Cell Activation\nProtein Surface

V-domain immunoglobulin suppressor of T cell activation\n(VISTA),\nan inhibitory immune checkpoint present on both immune and tumor cells,\nhas emerged as a highly promising target for cancer therapy due to\nits potential to overcome resistance encountered with existing immune\ncheckpoint treatments. VSIG-3 is determined as an inhibitory ligand\nfor VISTA, leading to the suppression of T cell proliferation. However,\nhotspots between VISTA/VSIG-3 protein–protein interaction remain\nambiguous, mainly attributed to the lack of the structure of the VISTA/VSIG-3\ncomplex. Therefore, in this study, in order to determine the energetic\ncontributions of the interfacial residues on VISTA, we first constructed\nVISTA/VSIG-3 complex models by the protein docking method, followed\nby molecular dynamics simulations, binding free-energy decomposition,\nand alanine scanning. Results suggested that the putative hotspots\nin VISTA comprise residues His32, Tyr37, Thr35, Glu47, Val48, Gln49,\nGlu53, Arg54, Gln73, His122, and His126. Moreover, the distribution\nof the hotspots was clustered into two regions (hot regions I and\nII), and by using the TRAPP tool, transient subpockets within the\nhot regions were identified. Furthermore, conformational states of\nthe binding pockets exhibiting druggability scores higher than those\nobserved in the crystal structure were found. Overall, we hope that\nthe findings outlined in this study can be used to facilitate the\ndevelopment of inhibitors targeting the VISTA/VSIG-3 immune checkpoint\npathway in the future.

Publication Details

Journal
Figshare
Published
2024-11-23
DOI
https://doi.org/10.1021/acsomega.4c07757.s001
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping the Binding\nHotspots and Transient Binding\nPockets on V‑Domain Immunoglobulin Suppressor of T Cell Activation\nProtein Surface

Figshare
Monoclonal and Polyclonal Antibodies Research
article

Mapping the Binding\nHotspots and Transient Binding\nPockets on V‑Domain Immunoglobulin Suppressor of T Cell Activation\nProtein Surface

article en

Abstract

V-domain immunoglobulin suppressor of T cell activation\n(VISTA),\nan inhibitory immune checkpoint present on both immune and tumor cells,\nhas emerged as a highly promising target for cancer therapy due to\nits potential to overcome resistance encountered with existing immune\ncheckpoint treatments. VSIG-3 is determined as an inhibitory ligand\nfor VISTA, leading to the suppression of T cell proliferation. However,\nhotspots between VISTA/VSIG-3 protein–protein interaction remain\nambiguous, mainly attributed to the lack of the structure of the VISTA/VSIG-3\ncomplex. Therefore, in this study, in order to determine the energetic\ncontributions of the interfacial residues on VISTA, we first constructed\nVISTA/VSIG-3 complex models by the protein docking method, followed\nby molecular dynamics simulations, binding free-energy decomposition,\nand alanine scanning. Results suggested that the putative hotspots\nin VISTA comprise residues His32, Tyr37, Thr35, Glu47, Val48, Gln49,\nGlu53, Arg54, Gln73, His122, and His126. Moreover, the distribution\nof the hotspots was clustered into two regions (hot regions I and\nII), and by using the TRAPP tool, transient subpockets within the\nhot regions were identified. Furthermore, conformational states of\nthe binding pockets exhibiting druggability scores higher than those\nobserved in the crystal structure were found. Overall, we hope that\nthe findings outlined in this study can be used to facilitate the\ndevelopment of inhibitors targeting the VISTA/VSIG-3 immune checkpoint\npathway in the future.

Figshare
Good health and well-being
Openalex Percentile: Top 55%
Monoclonal and Polyclonal Antibodies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.