Evidence map›Paper›PMID 27042006›Full record

ArticleDrug design, development and therapy2016

Toward antituberculosis drugs: in silico screening of synthetic compounds against Mycobacterium tuberculosisl,d-transpeptidase 2.

Junie B Billones, Maria Constancia O Carrillo, Voltaire G Organo, Stephani Joy Y Macalino, Jamie Bernadette A Sy, Inno A Emnacen, Nina Abigail B Clavio, Gisela P Concepcion

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Peptidoglycan LD-Transpeptidases.Antibiotics (Basel, Switzerland) · 2025
    Review
  2. Exploring the Antibacterial Potential ofPharmaceuticals (Basel, Switzerland) · 2024
    Article
  3. Review
  4. Drug Discovery forInternational journal of molecular sciences · 2021
    Review
  5. Structure-basedComputational and structural biotechnology journal · 2021
    Review
  6. Article
  7. Molecules (Basel, Switzerland) · 2020
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. In silico discovery and in vitro activity of inhibitors againstDrug design, development and therapy · 2017
    Article
  14. Article
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

8 authors.

Junie B BillonesOffice of the Vice President for Academic Affairs - Emerging Interdisciplinary Research Program: "Computer-aided Discovery of Compounds for the treatment of Tuberculosis in the Philippines," Department of Physical Sciences and Mathematics, College of Arts and Sciences, University of the Philippines Diliman, Diliman, Quezon City, Philippines; Institute of Pharmaceutical Sciences, National Institutes of Health, University of the Philippines Manila, Manila, Philippines.
Maria Constancia O CarrilloOffice of the Vice President for Academic Affairs - Emerging Interdisciplinary Research Program: "Computer-aided Discovery of Compounds for the treatment of Tuberculosis in the Philippines," Department of Physical Sciences and Mathematics, College of Arts and Sciences, University of the Philippines Diliman, Diliman, Quezon City, Philippines.
Voltaire G OrganoOffice of the Vice President for Academic Affairs - Emerging Interdisciplinary Research Program: "Computer-aided Discovery of Compounds for the treatment of Tuberculosis in the Philippines," Department of Physical Sciences and Mathematics, College of Arts and Sciences, University of the Philippines Diliman, Diliman, Quezon City, Philippines.
Stephani Joy Y MacalinoOffice of the Vice President for Academic Affairs - Emerging Interdisciplinary Research Program: "Computer-aided Discovery of Compounds for the treatment of Tuberculosis in the Philippines," Department of Physical Sciences and Mathematics, College of Arts and Sciences, University of the Philippines Diliman, Diliman, Quezon City, Philippines.
Jamie Bernadette A SyOffice of the Vice President for Academic Affairs - Emerging Interdisciplinary Research Program: "Computer-aided Discovery of Compounds for the treatment of Tuberculosis in the Philippines," Department of Physical Sciences and Mathematics, College of Arts and Sciences, University of the Philippines Diliman, Diliman, Quezon City, Philippines.
Inno A EmnacenOffice of the Vice President for Academic Affairs - Emerging Interdisciplinary Research Program: "Computer-aided Discovery of Compounds for the treatment of Tuberculosis in the Philippines," Department of Physical Sciences and Mathematics, College of Arts and Sciences, University of the Philippines Diliman, Diliman, Quezon City, Philippines.
Nina Abigail B ClavioOffice of the Vice President for Academic Affairs - Emerging Interdisciplinary Research Program: "Computer-aided Discovery of Compounds for the treatment of Tuberculosis in the Philippines," Department of Physical Sciences and Mathematics, College of Arts and Sciences, University of the Philippines Diliman, Diliman, Quezon City, Philippines.
Gisela P ConcepcionMarine Science Institute, University of the Philippines Diliman, Diliman, Quezon City, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium tuberculosis (Mtb) the main causative agent of tuberculosis, is the main reason why this disease continues to be a global public health threat. It is therefore imperative to find a novel antitubercular drug target that is unique to the structural machinery or is essential to the growth and survival of the bacterium. One such target is the enzyme l,d-transpeptidase 2, also known as LdtMt2, a protein primarily responsible for the catalysis of 3→3 cross-linkages that make up the mycolyl-arabinogalactan-peptidoglycan complex of Mtb. In this study, structure-based pharmacophore screening, molecular docking, and in silico toxicity evaluations were employed in screening compounds from a database of synthetic compounds. Out of the 4.5 million database compounds, 18 structures were identified as high-scoring, high-binding hits with very satisfactory absorption, distribution, metabolism, excretion, and toxicity properties. Two out of the 18 compounds were further subjected to in vitro bioactivity assays, with one exhibiting a good inhibitory activity against the Mtb H37Ra strain.

Indexed as

Computer SimulationAntitubercular AgentsDose-Response Relationship, DrugDrug Evaluation, PreclinicalEnzyme InhibitorsMicrobial Sensitivity TestsMolecular ConformationMolecular Docking SimulationMycobacterium tuberculosisPeptidyl TransferasesStructure-Activity RelationshipAntitubercular AgentsEnzyme InhibitorsPeptidyl Transferasesantituberculosis drug discoverydockingvirtual screening

Identifiers

PMID27042006
PMCPMC4795573

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.