Evidence map›Paper›PMID 36142582›Full record

ReviewInternational journal of molecular sciences2022

Fragment-Based Drug Discovery against Mycobacteria: The Success and Challenges.

Namdev S Togre, Ana M Vargas, Gunapati Bhargavi, Mohan Krishna Mallakuntla, Sangeeta Tiwari

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Drug resistance mechanisms inFrontiers in pharmacology · 2026
    Review
  2. Article
  3. Fragment-based drug discovery: A graphical review.Current research in pharmacology and drug discovery · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
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

5 authors.

Namdev S TogreDepartment of Biological Sciences & Border Biomedical Research Centre, University of Texas at El Paso, El Paso, TX 79968, USA.ORCID 0000-0001-5840-6458
Ana M VargasDepartment of Biological Sciences & Border Biomedical Research Centre, University of Texas at El Paso, El Paso, TX 79968, USA.
Gunapati BhargaviDepartment of Biological Sciences & Border Biomedical Research Centre, University of Texas at El Paso, El Paso, TX 79968, USA.
Mohan Krishna MallakuntlaDepartment of Biological Sciences & Border Biomedical Research Centre, University of Texas at El Paso, El Paso, TX 79968, USA.
Sangeeta TiwariDepartment of Biological Sciences & Border Biomedical Research Centre, University of Texas at El Paso, El Paso, TX 79968, USA.ORCID 0000-0003-1727-8036

Funding

Development of Drugs to Target Arginine Biosythesis in Mycobacterium tuberculosisSC1GM140968 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI TIWARI, SANGEETA · 2021 to 2024
$1.5M
A novel quadruple knockout MTb vaccine against tuberculosis (Supplement Resubmission)R15AI156647 · NIAID · TEXAS TECH UNIVERSITY HEALTH SCIENCES CENTER AT EL PASO · PI DHANDAYUTHAPANI, SUBRAMANIAN · 2021 to 2023
$626k
National Institute of Allergy and Infectious Diseases R15AI156647NIAID NIH HHS R15 AI156647NIGMS NIH HHS SC1 GM140968NIGMS NIH HHS SC1GM140968The University of Texas System E210291276
6 · The paper itself

Abstract

The emergence of drug-resistant mycobacteria, including Mycobacterium tuberculosis (Mtb) and non-tuberculous mycobacteria (NTM), poses an increasing global threat that urgently demands the development of new potent anti-mycobacterial drugs. One of the approaches toward the identification of new drugs is fragment-based drug discovery (FBDD), which is the most ingenious among other drug discovery models, such as structure-based drug design (SBDD) and high-throughput screening. Specialized techniques, such as X-ray crystallography, nuclear magnetic resonance spectroscopy, and many others, are part of the drug discovery approach to combat the Mtb and NTM global menaces. Moreover, the primary drawbacks of traditional methods, such as the limited measurement of biomolecular toxicity and uncertain bioavailability evaluation, are successfully overcome by the FBDD approach. The current review focuses on the recognition of fragment-based drug discovery as a popular approach using virtual, computational, and biophysical methods to identify potent fragment molecules. FBDD focuses on designing optimal inhibitors against potential therapeutic targets of NTM and Mtb (PurC, ArgB, MmpL3, and TrmD). Additionally, we have elaborated on the challenges associated with the FBDD approach in the identification and development of novel compounds. Insights into the applications and overcoming the challenges of FBDD approaches will aid in the identification of potential therapeutic compounds to treat drug-sensitive and drug-resistant NTMs and Mtb infections.

Indexed as

Mycobacterium InfectionsMycobacterium tuberculosisCrystallography, X-RayDrug DesignDrug DiscoveryHumansNontuberculous Mycobacteriadrug discoveryFBDDMtb drug discoverymycobacteriaNTMNTM drug discovery

Identifiers

PMID36142582
PMCPMC9500838

What OpenQuestion holds

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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.