ReviewMemorias do Instituto Oswaldo Cruz2022
Computational approaches towards the discovery and optimisation of cruzain inhibitors.
Review in Memorias do Instituto Oswaldo Cruz, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Molecular modeling design of antitrypanosomal pyrazolone derivatives targeting Chagas disease: QSAR, docking, molecular dynamics and free energy calculations.Journal of molecular modeling · 2026Article
- Article
- TropMol-Caipora: A Cloud-Based Web Tool to Predict Cruzain Inhibitors by Machine Learning.ACS omega · 2026Article
- Anti-Molecules (Basel, Switzerland) · 2025Article
- Unraveling Common Patterns and Differences among Cruzipains through Molecular Dynamics Simulations and Structural Analyses.ACS omega · 2025Article
- Thiosulfonate-Based Targeted Covalent Cruzipain Inhibitors with Enhanced Bioactivity Translation for Antichagasic Therapy.ACS medicinal chemistry letters · 2025Article
- Structure-Aided Computational Design of Triazole-Based Targeted Covalent Inhibitors of Cruzipain.Molecules (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The need to develop safer and more efficacious drugs to treat Chagas disease has motivated the search for cruzain inhibitors. Cruzain is the recombinant, truncated version of cruzipain, a cysteine protease from Trypanosoma cruzi with important roles during the parasite life cycle. Several computational techniques have been applied to discover and optimise cruzain inhibitors, providing a molecular basis to guide this process. Here, we review some of the most recent computational studies that provided important information for the design of cruzain inhibitors. Moreover, we highlight the diversity of applications of in silico techniques and their impact.
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Registered trials
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