Evidence map›Paper›PMID 25299649›Full record

ArticlePLoS computational biology2014

Predicting the functions and specificity of triterpenoid synthases: a mechanism-based multi-intermediate docking approach.

Bo-Xue Tian, Frank H Wallrapp, Gemma L Holiday, Jeng-Yeong Chow, Patricia C Babbitt, C Dale Poulter, Matthew P Jacobson

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Computational-guided discovery and characterization of a sesquiterpene synthase from Streptomyces clavuligerus.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  17. 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.

Bo-Xue TianDepartment of Pharmaceutical Chemistry, School of Pharmacy, University of California, San Francisco, San Francisco, California, United States of America; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, California, United States of America.
Frank H WallrappDepartment of Pharmaceutical Chemistry, School of Pharmacy, University of California, San Francisco, San Francisco, California, United States of America; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, California, United States of America.
Gemma L HolidayCalifornia Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, California, United States of America; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, United States of America.
Jeng-Yeong ChowDepartment of Chemistry, University of Utah, Salt Lake City, Utah, United States of America.
Patricia C BabbittCalifornia Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, California, United States of America; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, United States of America.
C Dale PoulterDepartment of Chemistry, University of Utah, Salt Lake City, Utah, United States of America.
Matthew P JacobsonDepartment of Pharmaceutical Chemistry, School of Pharmacy, University of California, San Francisco, San Francisco, California, United States of America; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, California, United States of America.

Funding

Core H: MicrobiologyU54GM093342 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CRONAN, JOHN E. · 2010 to 2015
$34.6M
NIGMS NIH HHS U54 GM093342
6 · The paper itself

Abstract

Terpenoid synthases construct the carbon skeletons of tens of thousands of natural products. To predict functions and specificity of triterpenoid synthases, a mechanism-based, multi-intermediate docking approach is proposed. In addition to enzyme function prediction, other potential applications of the current approach, such as enzyme mechanistic studies and enzyme redesign by mutagenesis, are discussed.

Indexed as

Molecular Docking SimulationAlkyl and Aryl TransferasesComputational BiologyIntramolecular LyasesIntramolecular TransferasesProtein EngineeringTerpenesAlkyl and Aryl TransferasesIntramolecular LyasesIntramolecular Transferasespinene cyclase Isqualene-hopene cyclaseTerpenes

Identifiers

PMID25299649
PMCPMC4191879

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.