Identification of a Novel Druggable Pocket in the HIV-1 gp120 C5 Domain at the Conformational Relay Junction

HIV-1 entry requires a conformational relay that transmits the receptor-engagement signal to membrane fusion activation, yet no approved drug targets this transmission step. Here I report a novel druggable pocket in the gp120 C5 domain (Arg465–Arg472, sequence RPGGGDMR) at this relay junction, identified through computational analysis of the gp120–CD4–CCR5 ternary complex (PDB 6MEO, 3.9 Å cryo-EM). The motif is 100% conserved across 360 solved gp120 structures and untouched by all 28 known entry-inhibitor resistance mutations. The pocket passes all five Halgren druggability criteria, and molecular docking of BMS-626529 yields −6.81 kcal/mol across a 20-frame MD ensemble. Half-microsecond simulations of four independent SOSIP trimer structures confirm the pocket as a conformational anchor: sub-2 Å internal RMSD, 0th RMSF percentile in three of four structures, kinematically decoupled from global backbone dynamics. Free energy perturbation reveals selective binding to the pre-CD4 conformation (ΔG = −4.03 kcal/mol) with strong negative allosteric coupling to CD4 engagement (ΔΔG = +3.95 kcal/mol), establishing a conformational selection mechanism. Umbrella sampling yields a ~7–8 kcal/mol PMF barrier consistent with the relay signal magnitude. This deposit contains the complete manuscript (PDF, LaTeX source, and Markdown), all analysis scripts (108), raw computational results (67 JSON files), and simulation parameters. Molecular dynamics trajectory data (~67 GB) is available via the companion download portal at https://hiv1-relay-data.jretting.workers.dev. GitHub repository: https://github.com/jonretting/gp120-relay-supplementary

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-15
DOI
https://doi.org/10.5281/zenodo.23389293
Primary Topic
HIV Research and Treatment
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Identification of a Novel Druggable Pocket in the HIV-1 gp120 C5 Domain at the Conformational Relay Junction

Jonathan Michael Retting
Zenodo (CERN European Organization for Nuclear Research)
HIV Research and Treatment
preprint

Identification of a Novel Druggable Pocket in the HIV-1 gp120 C5 Domain at the Conformational Relay Junction

Jonathan Michael Retting
preprint en

Abstract

HIV-1 entry requires a conformational relay that transmits the receptor-engagement signal to membrane fusion activation, yet no approved drug targets this transmission step. Here I report a novel druggable pocket in the gp120 C5 domain (Arg465–Arg472, sequence RPGGGDMR) at this relay junction, identified through computational analysis of the gp120–CD4–CCR5 ternary complex (PDB 6MEO, 3.9 Å cryo-EM). The motif is 100% conserved across 360 solved gp120 structures and untouched by all 28 known entry-inhibitor resistance mutations. The pocket passes all five Halgren druggability criteria, and molecular docking of BMS-626529 yields −6.81 kcal/mol across a 20-frame MD ensemble. Half-microsecond simulations of four independent SOSIP trimer structures confirm the pocket as a conformational anchor: sub-2 Å internal RMSD, 0th RMSF percentile in three of four structures, kinematically decoupled from global backbone dynamics. Free energy perturbation reveals selective binding to the pre-CD4 conformation (ΔG = −4.03 kcal/mol) with strong negative allosteric coupling to CD4 engagement (ΔΔG = +3.95 kcal/mol), establishing a conformational selection mechanism. Umbrella sampling yields a ~7–8 kcal/mol PMF barrier consistent with the relay signal magnitude. This deposit contains the complete manuscript (PDF, LaTeX source, and Markdown), all analysis scripts (108), raw computational results (67 JSON files), and simulation parameters. Molecular dynamics trajectory data (~67 GB) is available via the companion download portal at https://hiv1-relay-data.jretting.workers.dev. GitHub repository: https://github.com/jonretting/gp120-relay-supplementary

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
HIV Research and Treatment
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.