Identification and Experimental Validation of Repurposable Drugs Targeting the Essential ClpP1 Protease of Mycobacterium tuberculosis

Tuberculosis (TB) remains a major global health challenge, necessitating the identification of novel therapeutic targets and accelerated drug discovery strategies. The caseinolytic protease (ClpP) complex of Mycobacterium tuberculosis (Mtb) is essential for proteostasis, stress adaptation, and bacterial survival, making it an attractive yet underexplored drug target. Comparative structural analysis also revealed significant differences between mycobacterial and human ClpP S1 pockets, suggesting opportunities for selective inhibition. In this study, a structure-based drug repurposing approach was employed to identify approved drugs targeting the S1 pocket of the ClpP1 subunit, a key regulatory site involved in proteolytic activation. Virtual screening of the approved drug library against the ClpP1 crystal structure (PDB ID: 4U0G) identified Saquinavir and Raltegravir as the most promising candidates, exhibiting binding affinities of –9.1 and –9.5 kcal/mol, respectively, and favorable interactions with critical S1 pocket residues. Molecular dynamics simulations over 200 ns confirmed stable ligand binding and persistent occupancy within the S1 pocket. In vitro evaluation against M. tuberculosis H37Ra demonstrated potent concentration-dependent antimycobacterial activity, with Saquinavir showing superior efficacy (IC50 = 0.01 ± 0.007 μM; MIC = 64 μM) compared with Raltegravir (IC50 = 0.1 ± 0.09 μM; MIC ≥ 128 μM). Growth kinetics, REMA, and statistical analyses further validated their inhibitory activity. These findings validate Saquinavir and Raltegravir as potential repurposable anti-tubercular agents for further mechanistic and preclinical evaluation.

Authors

Institutions

Publication Details

Journal
ChemRxiv
Published
2026-11-01
DOI
https://doi.org/10.26434/chemrxiv.15011429/v1
Primary Topic
Computational Drug Discovery Methods
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Identification and Experimental Validation of Repurposable Drugs Targeting the Essential ClpP1 Protease of Mycobacterium tuberculosis

Kuldeep Kumar Roy, Smriti Bhardwaj
ChemRxiv
Computational Drug Discovery Methods
preprint

Identification and Experimental Validation of Repurposable Drugs Targeting the Essential ClpP1 Protease of Mycobacterium tuberculosis

Kuldeep Kumar Roy, Smriti Bhardwaj
preprint en

Abstract

Tuberculosis (TB) remains a major global health challenge, necessitating the identification of novel therapeutic targets and accelerated drug discovery strategies. The caseinolytic protease (ClpP) complex of Mycobacterium tuberculosis (Mtb) is essential for proteostasis, stress adaptation, and bacterial survival, making it an attractive yet underexplored drug target. Comparative structural analysis also revealed significant differences between mycobacterial and human ClpP S1 pockets, suggesting opportunities for selective inhibition. In this study, a structure-based drug repurposing approach was employed to identify approved drugs targeting the S1 pocket of the ClpP1 subunit, a key regulatory site involved in proteolytic activation. Virtual screening of the approved drug library against the ClpP1 crystal structure (PDB ID: 4U0G) identified Saquinavir and Raltegravir as the most promising candidates, exhibiting binding affinities of –9.1 and –9.5 kcal/mol, respectively, and favorable interactions with critical S1 pocket residues. Molecular dynamics simulations over 200 ns confirmed stable ligand binding and persistent occupancy within the S1 pocket. In vitro evaluation against M. tuberculosis H37Ra demonstrated potent concentration-dependent antimycobacterial activity, with Saquinavir showing superior efficacy (IC50 = 0.01 ± 0.007 μM; MIC = 64 μM) compared with Raltegravir (IC50 = 0.1 ± 0.09 μM; MIC ≥ 128 μM). Growth kinetics, REMA, and statistical analyses further validated their inhibitory activity. These findings validate Saquinavir and Raltegravir as potential repurposable anti-tubercular agents for further mechanistic and preclinical evaluation.

ChemRxiv
University of Petroleum and Energy Studies (IN)
Computational Drug Discovery Methods
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.

Laika access coming soon