ArticleJournal of chemical information and modeling2014
Novel mycosin protease MycP₁ inhibitors identified by virtual screening and 4D fingerprints.
Article in Journal of chemical information and modeling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Molecular modeling of a series of dehydroquinate dehydratase type II inhibitors of Mycobacterium tuberculosis and design of new binders.Molecular diversity · 2021Article
- Predictive Power of In Silico Approach to Evaluate Chemicals againstPharmaceuticals (Basel, Switzerland) · 2019Review
- Advances in the Development of Shape Similarity Methods and Their Application in Drug Discovery.Frontiers in chemistry · 2018Review
- Peptide Inhibitors Targeting the Neisseria gonorrhoeae Pivotal Anaerobic Respiration Factor AniA.Antimicrobial agents and chemotherapy · 2017Article
- Hierarchical virtual screening approaches in small molecule drug discovery.Methods (San Diego, Calif.) · 2015Review
- Arylquins target vimentin to trigger Par-4 secretion for tumor cell apoptosis.Nature chemical biology · 2014Article
- Application of the 4D fingerprint method with a robust scoring function for scaffold-hopping and drug repurposing strategies.Journal of chemical information and modeling · 2014Article
- Pentapeptide boronic acid inhibitors of Mycobacterium tuberculosis MycP1 protease.Bioorganic & medicinal chemistry letters · 2014Article
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Authors and funding
8 authors.
Funding
Abstract
The rise of drug-resistant Mycobacterium tuberculosis lends urgency to the need for new drugs for the treatment of tuberculosis (TB). The identification of a serine protease, mycosin protease-1 (MycP₁), as the crucial agent in hydrolyzing the virulence factor, ESX-secretion-associated protein B (EspB), potentially opens the door to new tuberculosis treatment options. Using the crystal structure of mycobacterial MycP₁ in the apo form, we performed an iterative ligand- and structure-based virtual screening (VS) strategy to identify novel, nonpeptide, small-molecule inhibitors against MycP₁ protease. Screening of ∼485,000 ligands from databases at the Genomics Research Institute (GRI) at the University of Cincinnati and the National Cancer Institute (NCI) using our VS approach, which integrated a pharmacophore model and consensus molecular shape patterns of active ligands (4D fingerprints), identified 81 putative inhibitors, and in vitro testing subsequently confirmed two of them as active inhibitors. Thereafter, the lead structures of each VS round were used to generate a new 4D fingerprint that enabled virtual rescreening of the chemical libraries. Finally, the iterative process identified a number of diverse scaffolds as lead compounds that were tested and found to have micromolar IC₅₀ values against the MycP₁ target. This study validated the efficiency of the SABRE 4D fingerprints as a means of identifying novel lead compounds in each screening round of the databases. Together, these results underscored the value of using a combination of in silico iterative ligand- and structure-based virtual screening of chemical libraries with experimental validation for the identification of promising structural scaffolds, such as the MycP₁ inhibitors.
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