Back

Deciphering the Molecular Structure of the Type III Secretion System in Chlamydia trachomatis for Structure-Based Therapeutic Targeting

Panda, A.; Kapoor, J.; Rajagopal, R.; Kumar, S.; Bandyopadhyay, A.

2026-05-09 bioinformatics
10.64898/2026.05.06.723290 bioRxiv
Show abstract

Chlamydia trachomatis is an obligate intracellular Gram-negative pathogen responsible for sexually transmitted infections and trachoma in humans. Although antibiotics are generally effective against acute infections, persistent chlamydial forms often exhibit reduced susceptibility during chronic infection. Chlamydia relies on its type III secretion system (T3SS) to inject effector proteins into host cells, making T3SS proteins attractive targets for antivirulence therapeutics. In this study, we employed an integrated computational pipeline to model and assemble the C. trachomatis T3SS constituent proteins. Template-based modeling using crystallographic structures of homologs from other Gram-negative bacteria revealed a highly conserved structural architecture despite low sequence identity (18-46%). Stereochemical validation confirmed high model quality, with most T3SS proteins exhibiting favorable protein-protein interactions (PPIs). Since the activity of the T3SS complex relies on extensive PPIs, we targeted these PPIs as a promising approach to attenuate bacterial virulence. CdsN, which functions as an ATPase of the T3SS, is a hexamer of which we targeted the dimerization interface. Structure-based virtual screening of compounds from the e-Drug3D and IMPPAT libraries against predicted hotspot residues and the identified druggable pocket at the CdsN dimeric interface, followed by ADMET screening, yielded three promising candidates: M Roflumilast (Drug ID: 1537), Elacestrant (Drug ID: 2081), and Tecovirimat (Drug ID: 1889). All three ligands formed thermodynamically stable complexes with the CdsN dimer, with Elacestrant demonstrating the most favourable binding free energy. This was also confirmed by 100 ns molecular dynamics simulation. This study provides new insights into the molecular architecture of C. trachomatis T3SS and identifies M Roflumilast, Elacestrant, and Tecovirimat as potential drug candidates against chlamydial infection. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=129 SRC="FIGDIR/small/723290v1_ufig1.gif" ALT="Figure 1"> View larger version (58K): org.highwire.dtl.DTLVardef@1821599org.highwire.dtl.DTLVardef@1581baaorg.highwire.dtl.DTLVardef@1805e98org.highwire.dtl.DTLVardef@c25e56_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

1
Journal of Chemical Information and Modeling
207 papers in training set
Top 0.1%
55.2%
50% of probability mass above
2
Computational and Structural Biotechnology Journal
216 papers in training set
Top 0.7%
5.1%
3
PLOS Computational Biology
1633 papers in training set
Top 11%
3.4%
4
The Journal of Physical Chemistry B
158 papers in training set
Top 0.9%
2.0%
5
JACS Au
35 papers in training set
Top 0.3%
1.9%
6
Viruses
318 papers in training set
Top 2%
1.8%
7
Journal of Biomolecular Structure and Dynamics
43 papers in training set
Top 0.6%
1.8%
8
Advanced Science
249 papers in training set
Top 10%
1.8%
9
ACS Pharmacology & Translational Science
40 papers in training set
Top 0.5%
1.4%
10
Communications Biology
886 papers in training set
Top 12%
1.4%
11
ACS Omega
90 papers in training set
Top 2%
1.3%
12
Scientific Reports
3102 papers in training set
Top 68%
1.0%
13
PLOS ONE
4510 papers in training set
Top 62%
0.9%
14
Proteins: Structure, Function, and Bioinformatics
82 papers in training set
Top 0.8%
0.8%
15
Pharmaceuticals
33 papers in training set
Top 1%
0.8%
16
eLife
5422 papers in training set
Top 56%
0.8%
17
Briefings in Bioinformatics
326 papers in training set
Top 6%
0.8%
18
Cell Communication and Signaling
35 papers in training set
Top 1%
0.8%
19
Microbiology Spectrum
435 papers in training set
Top 6%
0.7%
20
Biomolecules
95 papers in training set
Top 3%
0.5%
21
International Immunopharmacology
15 papers in training set
Top 0.7%
0.5%
22
International Journal of Molecular Sciences
453 papers in training set
Top 18%
0.5%