Evidence map›Paper›PMID 26497201›Full record

ReviewNatural product reports2016

Dereplication, sequencing and identification of peptidic natural products: from genome mining to peptidogenomics to spectral networks.

Hosein Mohimani, Pavel A Pevzner

Abstract readReview
In one paragraph

Review in Natural product reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
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  5. Review
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  11. Multiple Classes of Antimicrobial Peptides inJournal of natural products · 2021
    Article
  12. Marine Biodiscovery in a Changing World.Progress in the chemistry of organic natural products · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Gene-guided discovery and engineering of branched cyclic peptides in plants.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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

2 authors.

Hosein MohimaniDepartment of Computer Science and Engineering, University of California, San Diego, USA. ppevzner@ucsd.edu.
Pavel A PevznerDepartment of Computer Science and Engineering, University of California, San Diego, USA. ppevzner@ucsd.edu.

Funding

TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2012 to 2018
$8.7M
NIGMS NIH HHS 5P41GM103484NIGMS NIH HHS P41 GM103484
6 · The paper itself

Abstract

Covering: 2000 to 2015. While recent breakthroughs in the discovery of peptide antibiotics and other Peptidic Natural Products (PNPs) raise a challenge for developing new algorithms for their analyses, the computational technologies for high-throughput PNP discovery are still lacking. We discuss the computational bottlenecks in analyzing PNPs and review recent advances in genome mining, peptidogenomics, and spectral networks that are now enabling the discovery of new PNPs via mass spectrometry. We further describe the connections between these advances and the new generation of software tools for PNP dereplication, de novo sequencing, and identification.

Indexed as

Anti-Bacterial AgentsBiological ProductsPeptidesAmino Acid SequenceGenomicsMolecular Sequence DataMolecular StructureAnti-Bacterial AgentsBiological ProductsPeptides

Identifiers

PMID26497201
PMCPMC5590107

What OpenQuestion holds

Textmetadata
LicenceTDM
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.