Characterization of Cyclic Peptides for Antituberculosis Drug Development Targeting ClpC1

Drug-resistant Mycobacterium tuberculosis (Mtb) remains a major global health challenge, prompting the need for new therapeutics targeting essential bacterial proteins. The caseinolytic protein C1 (ClpC1) is a promising drug target, and accurate measurement of its ATPase activity is critical for understanding drug mechanisms. We optimized a sensitive luminescence-based ATPase assay and evaluated ClpC1 constructs with various tag positions and truncations. N-terminal tagging significantly impaired enzymatic activity, whereas C-terminal tagging had no effect; truncated domains showed reduced activity compared to native full-length (FL) ClpC1. Using the native FL-ClpC1, we assessed ecumicin (ECU) and five analogs via ATPase activity and surface plasmon resonance (SPR), using rufomycin (RUF) and cyclomarin A (CYMA) as controls. RUF and CYMA bound tightly (KD = 0.006–0.023 µM) and inhibited Mtb growth (MIC90 = 0.02–0.094 µM) but modestly stimulated ATPase activity (≤2-fold). In contrast, ECU and its analogs strongly enhanced ATPase activity (4–9-fold) despite slightly weaker binding (KD = 0.042–0.80 µM) and growth inhibition (MIC90 = 0.19 µM). The partial correlation among AC50, KD, and MIC values highlights the complementary value of enzymatic, biophysical, and cellular assays. Our assay platform enables mechanistic characterization of ClpC1-targeting compounds and supports rational antitubercular drug development.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-10-25
DOI
https://doi.org/10.3390/app152111425
Primary Topic
Bacterial Genetics and Biotechnology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization of Cyclic Peptides for Antituberculosis Drug Development Targeting ClpC1

Dong‐Chan Oh, Yern‐Hyerk Shin, Hanki Lee, Tasneem M. Vaid et al.
Applied Sciences
Bacterial Genetics and Biotechnology
article

Characterization of Cyclic Peptides for Antituberculosis Drug Development Targeting ClpC1

Dong‐Chan Oh, Yern‐Hyerk Shin, Hanki Lee, Tasneem M. Vaid, Thao Tran, Joo‐Won Suh, Scott G. Franzblau, Robel Demissie, Jinsheng Cui, Shengnan Jin, Gauri Shetye, Sang‐Hyun Cho, Youngjin Kwon, Fatema Nomani
article en

Abstract

Drug-resistant Mycobacterium tuberculosis (Mtb) remains a major global health challenge, prompting the need for new therapeutics targeting essential bacterial proteins. The caseinolytic protein C1 (ClpC1) is a promising drug target, and accurate measurement of its ATPase activity is critical for understanding drug mechanisms. We optimized a sensitive luminescence-based ATPase assay and evaluated ClpC1 constructs with various tag positions and truncations. N-terminal tagging significantly impaired enzymatic activity, whereas C-terminal tagging had no effect; truncated domains showed reduced activity compared to native full-length (FL) ClpC1. Using the native FL-ClpC1, we assessed ecumicin (ECU) and five analogs via ATPase activity and surface plasmon resonance (SPR), using rufomycin (RUF) and cyclomarin A (CYMA) as controls. RUF and CYMA bound tightly (KD = 0.006–0.023 µM) and inhibited Mtb growth (MIC90 = 0.02–0.094 µM) but modestly stimulated ATPase activity (≤2-fold). In contrast, ECU and its analogs strongly enhanced ATPase activity (4–9-fold) despite slightly weaker binding (KD = 0.042–0.80 µM) and growth inhibition (MIC90 = 0.19 µM). The partial correlation among AC50, KD, and MIC values highlights the complementary value of enzymatic, biophysical, and cellular assays. Our assay platform enables mechanistic characterization of ClpC1-targeting compounds and supports rational antitubercular drug development.

Applied SciencesVol. 15(21)
Seoul National University (KR), Illinois College (US), Konkuk University (KR), University of Illinois Chicago (US), Myongji University (KR)
Korea Health Industry Development Institute, National Institutes of Health, University of California, San Francisco, National Institute of Allergy and Infectious Diseases
Openalex Percentile: Top 67%
Bacterial Genetics and Biotechnology
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.