Evidence map›Paper›PMID 31025202›Full record

ArticleJournal of molecular modeling2019

Insights into an alternative benzofuran binding mode and novel scaffolds of polyketide synthase 13 inhibitors.

Süleyman Selim Çınaroğlu, Emel Timuçin

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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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Süleyman Selim ÇınaroğluDepartment of Biostatistics and Medical Informatics, School of Medicine, Acibadem Mehmet Ali Aydinlar University, 34752, Istanbul, Turkey. suleyman.selim@mail.com.ORCID http://orcid.org/0000-0001-7120-3540
Emel TimuçinDepartment of Biostatistics and Medical Informatics, School of Medicine, Acibadem Mehmet Ali Aydinlar University, 34752, Istanbul, Turkey.
Kent Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Benzofuran ringPolyketide synthase 13 thioesterase domainTuberculosisVirtual screeningZINC15

Identifiers

PMID31025202
OpenAlexW2940508547

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.