Back

From Proteome Mining to Structural Validation: Phosphopyruvate Hydratase as a Structurally Tractable Drug Target in Kinetoplastid Parasites

Goyzueta Mamani, L. D.; Barazorda Ccahuana, H. L.; G Ng, M.; Pineda R, L.; Medina Franco, J. L.; Florin Christensen, M.; Ferraz Coelho, E. A.; Spadafora, C.; Chavez Fumagalli, M. A.

2026-06-12 bioinformatics
10.64898/2026.06.09.731156 bioRxiv
Show abstract

Chagas disease, caused by Trypanosoma cruzi, demands novel therapeutic strategies that overcome the toxicity and limited efficacy of current treatments. To address this need, herein we report an integrative, target-centric strategy that combines parasite proteome mining, structural modeling, and experimental validation. Functional enrichment and druggability analyses identified phosphopyruvate hydratase (PPH) as a promising candidate due to its essential metabolic role and limited similarity to human homologs. Notably, proteome mining revealed the presence and conservation of PPH across kinetoplastid parasites, including Leishmania donovani, supporting its evaluation beyond T. cruzi. For the selected PPH sequences, AlphaFold-derived three-dimensional models underwent extensive molecular dynamics refinement, yielding stable conformational ensembles suitable for structure-based studies. Using this validated model, virtual screening of the Latin American Natural Products Database - LANaPDB - identified aptosimon as a top-ranked compound candidate. Molecular dynamics simulations further showed ligand-dependent binding behavior, suggesting alternative binding modes distinct from the canonical substrate configuration. In vitro assays demonstrated consistent antiparasitic activity against intracellular T. cruzi amastigotes (IC = 3.52 {+/-} 0.023 {micro}g/mL) and Leishmania donovani promastigotes (IC = 13.06 {+/-} 0.018 {micro}g/mL), supporting the biological relevance of the aptosimon-related lignan chemotype, hinokinin, across two kinetoplastid parasite models. Together, these results support PPH as a structurally tractable and biologically relevant candidate target, while identifying an aptosimon-related lignan chemotype, represented experimentally by hinokinin, as a cross-species antiparasitic scaffold that warrants further biochemical target-validation studies.

Matching journals

The top 15 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 24%
6.9%
2
Scientific Reports
3612 papers in training set
Top 15%
5.6%
3
Journal of Medicinal Chemistry
77 papers in training set
Top 0.2%
5.6%
4
ACS Infectious Diseases
82 papers in training set
Top 0.4%
3.3%
5
Communications Chemistry
48 papers in training set
Top 0.2%
3.3%
6
ACS Omega
105 papers in training set
Top 0.5%
3.3%
7
Antimicrobial Agents and Chemotherapy
187 papers in training set
Top 0.8%
3.2%
8
Briefings in Bioinformatics
354 papers in training set
Top 3%
2.8%
9
Journal of Chemical Information and Modeling
238 papers in training set
Top 1%
2.7%
10
International Journal for Parasitology
26 papers in training set
Top 0.2%
2.5%
11
PLOS Neglected Tropical Diseases
466 papers in training set
Top 3%
2.4%
12
Journal of Immunology Research
12 papers in training set
Top 0.2%
2.4%
13
eLife
5828 papers in training set
Top 40%
2.4%
14
Frontiers in Immunology
638 papers in training set
Top 5%
2.2%
15
Communications Biology
993 papers in training set
Top 10%
2.2%
50% of probability mass above
16
International Journal for Parasitology: Drugs and Drug Resistance
10 papers in training set
Top 0.1%
1.8%
17
Computational and Structural Biotechnology Journal
242 papers in training set
Top 3%
1.8%
18
Molecules
39 papers in training set
Top 0.6%
1.8%
19
Frontiers in Chemistry
16 papers in training set
Top 0.1%
1.7%
20
International Journal of Molecular Sciences
494 papers in training set
Top 8%
1.7%
21
Frontiers in Microbiology
427 papers in training set
Top 6%
1.5%
22
Microorganisms
106 papers in training set
Top 2%
1.5%
23
International Journal of Biological Sciences
10 papers in training set
Top 0.1%
1.4%
24
Microbiology Spectrum
469 papers in training set
Top 8%
1.2%
25
International Journal of Biological Macromolecules
76 papers in training set
Top 1%
1.2%
26
Protein Science
246 papers in training set
Top 3%
1.1%
27
PLOS Computational Biology
1863 papers in training set
Top 18%
1.0%
28
European Journal of Pharmacology
15 papers in training set
Top 0.5%
1.0%
29
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 4%
0.9%
30
Autophagy
39 papers in training set
Top 0.5%
0.9%