Evidence map›Paper›PMID 25037224›Full record

ArticleThe Journal of biological chemistry2014

High throughput screen identifies small molecule inhibitors specific for Mycobacterium tuberculosis phosphoserine phosphatase.

Garima Arora, Prabhakar Tiwari, Rahul Shubhra Mandal, Arpit Gupta, Deepak Sharma, Sudipto Saha, Ramandeep Singh

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

20 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Article
  3. Small Molecule Inhibitors ofInternational journal of molecular sciences · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. L-serine synthesis via the phosphorylated pathway in humans.Cellular and molecular life sciences : CMLS · 2020
    Review
  13. Article
  14. Article
  15. Rv2577 ofFrontiers in microbiology · 2020
    Article
  16. Article
  17. Article
  18. Bacterial Virulence Factors: Secreted for Survival.Indian journal of microbiology · 2017
    Review
  19. Article
  20. 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

7 authors at 4 institutions in 1 country.

Garima AroraFrom the Vaccine and Infectious Disease Research Centre, Translational Health Science and Technology Institute, Gurgaon 122016, Haryana, India, the Symbiosis School of Biomedical Sciences, Symbiosis International University, Lavale, Maharashtra 412115, India.
Prabhakar TiwariFrom the Vaccine and Infectious Disease Research Centre, Translational Health Science and Technology Institute, Gurgaon 122016, Haryana, India.
Rahul Shubhra Mandalthe Biomedical Informatics Center, National Institute of Cholera and Enteric Diseases, Kolkata, West Bengal 700010, India.
Arpit Guptathe CSIR-Institute of Microbial Technology, Chandigarh, 160036, India, and.
Deepak Sharmathe CSIR-Institute of Microbial Technology, Chandigarh, 160036, India, and.
Sudipto Sahathe Bioinformatics Centre, Bose Institute, Kolkata, West Bengal 700054, India.
Ramandeep SinghFrom the Vaccine and Infectious Disease Research Centre, Translational Health Science and Technology Institute, Gurgaon 122016, Haryana, India, ramandeep@thsti.res.in.
Translational Health Science and Technology Institute · INInstitute of Microbial Technology · INBose Institute · INNational Institute of Cholera and Enteric Diseases · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of drug-resistant strains of Mycobacterium tuberculosis makes identification and validation of newer drug targets a global priority. Phosphoserine phosphatase (PSP), a key essential metabolic enzyme involved in conversion of O-phospho-l-serine to l-serine, was characterized in this study. The M. tuberculosis genome harbors all enzymes involved in l-serine biosynthesis including two PSP homologs: Rv0505c (SerB1) and Rv3042c (SerB2). In the present study, we have biochemically characterized SerB2 enzyme and developed malachite green-based high throughput assay system to identify SerB2 inhibitors. We have identified 10 compounds that were structurally different from known PSP inhibitors, and few of these scaffolds were highly specific in their ability to inhibit SerB2 enzyme, were noncytotoxic against mammalian cell lines, and inhibited M. tuberculosis growth in vitro. Surface plasmon resonance experiments demonstrated the relative binding for these inhibitors. The two best hits identified in our screen, clorobiocin and rosaniline, were bactericidal in activity and killed intracellular bacteria in a dose-dependent manner. We have also identified amino acid residues critical for these SerB2-small molecule interactions. This is the first study where we validate that M. tuberculosis SerB2 is a druggable and suitable target to pursue for further high throughput assay system screening.

Indexed as

Amino Acid SequenceAntitubercular AgentsBacterial ProteinsCell Line, TumorEnzyme InhibitorsHigh-Throughput Screening AssaysHumansKineticsMicrobial Sensitivity TestsModels, MolecularMolecular Sequence DataMolecular StructureMycobacterium tuberculosisNovobiocinPhosphoric Monoester HydrolasesPhylogenyAntitubercular AgentsBacterial Proteinsbasic fuchsinclorobiocinEnzyme InhibitorsNovobiocinPhosphoric Monoester Hydrolasesphosphoserine phosphataseRosaniline DyesSmall Molecule LibrariesBacterial Protein PhosphataseEnzyme KineticsHigh Throughput Screening (HTS)Molecular DockingMycobacterium tuberculosis

Identifiers

PMID25037224
PMCPMC4155679
OpenAlexW2089966184

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.