Evidence map›Paper›PMID 21095156›Full record

ReviewCurrent opinion in chemical biology2011

Genome mining for ribosomally synthesized natural products.

Juan E Velásquez, Wilfred A van der Donk

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

74 citing papers in PubMed, 181 citations in OpenAlex.

  1. Article
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  10. Article
  11. Draft Genome Sequence ofMicroorganisms · 2022
    Article
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14 more citing papers are in PubMed but not listed here.

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.

Juan E VelásquezDepartment of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Wilfred A van der Donk
University of Illinois Urbana-Champaign · US

Funding

Training Program in Chemistry-Interface with BiologyT32GM070421 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI HERGENROTHER, PAUL · 2005 to 2019
$5.4M
Posttranslational Modifications in Natural Product BiosynthesisR01GM058822 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI VAN DER DONK, WILFRED A. · 1999 to 2015
$3.8M
Posttranslational Modifications during Natural Product BiosynthesisR37GM058822 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI VAN DER DONK, WILFRED A. · 2016 to 2025
$2.9M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM058822NIGMS NIH HHS R37 GM058822NIGMS NIH HHS T32 GM070421
6 · The paper itself

Abstract

In recent years, the number of known peptide natural products that are synthesized via the ribosomal pathway has rapidly grown. Taking advantage of sequence homology among genes encoding precursor peptides or biosynthetic proteins, in silico mining of genomes combined with molecular biology approaches has guided the discovery of a large number of new ribosomal natural products, including lantipeptides, cyanobactins, linear thiazole/oxazole-containing peptides, microviridins, lasso peptides, amatoxins, cyclotides, and conopeptides. In this review, we describe the strategies used for the identification of these ribosomally synthesized and posttranslationally modified peptides (RiPPs) and the structures of newly identified compounds. The increasing number of chemical entities and their remarkable structural and functional diversity may lead to novel pharmaceutical applications.

Indexed as

GenomeProtein Processing, Post-TranslationalBiological ProductsMycotoxinsPeptidesRibosomesBiological ProductsMycotoxinsPeptides

Identifiers

PMID21095156
PMCPMC3090663
OpenAlexW2053819820

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.