ArticleJournal of molecular modeling2019
Insights into an alternative benzofuran binding mode and novel scaffolds of polyketide synthase 13 inhibitors.
Article in Journal of molecular modeling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 8 citations in OpenAlex.
- Systems Biology-Driven Discovery of Host-Targeted Therapeutics for Oropouche Virus: Integrating Network Pharmacology, Molecular Docking, and Drug Repurposing.Pharmaceuticals (Basel, Switzerland) · 2025Article
- In Silico Development of Novel Benzofuran-1,3,4-Oxadiazoles as Lead Inhibitors ofPharmaceuticals (Basel, Switzerland) · 2023Article
- Advances in computational frameworks in the fight against TB: The way forward.Frontiers in pharmacology · 2023Review
- Phytochemical, Cytotoxicity, and Antimycobacterial Activity Evaluation of Extracts and Compounds from the Stem Bark ofEvidence-based complementary and alternative medicine : eCAM · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Small molecules targeting biosynthesis of mycolic acids in the tuberculosis causing bacterium carry high potential for anti-tuberculosis drug discovery. Hitherto, benzofuran containing molecules were identified to target the thioesterase domain of polyketide synthase 13 (Pks13), one of the crucial constituents of this pathway. Among these, TAM16 was also reported to be highly potent in vivo. Here we performed a multi-stage virtual screening methodology recruiting both ligand- and structure-based screening tools for identification of novel Pks13 inhibitors. The large ZINC15 database comprising more than 1 billion ligands was reduced to 21,277 ligands with benzofuran rings and similarity to TAM16. This collection was screened by docking and the 20 top scoring ligands were further analyzed by molecular dynamics simulations. Molecular mechanics/generalized Born surface area (MM-GBSA) based binding free energy predictions confirmed five molecules in the ZINC15 database lead to remarkable increases in the binding free energy of TAM16. Essentially, the most potent ligand ZINC840169872, which carries a distinct scaffold with a cyclohexane group fused to the furan ring, produced a twofold change in the ligand efficiency of TAM16. Further, assessments of the structure-based tools on five different Pks13-TAM complex structures suggested a high-level agreement with the experiments, substantiating the validity of our methodology for screening Pks13 inhibitors. Overall, these in silico insights into a low energy benzofuran-based scaffold and an alternative binding mode for the benzofuran ring unravel viable strategies to generate potent anti-tuberculosis drugs, accentuating the applications of virtual screening approaches for exploring large compound libraries that cannot be easily accessed by experimentation. Graphical abstract In silico virtual screening of ZINC15 database for the identification of potential inhibitors targeting PKS13.
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