Evidence map›Paper›PMID 29377793›Full record

ArticleeLife2018

Prediction of enzymatic pathways by integrative pathway mapping.

Sara Calhoun, Magdalena Korczynska, Daniel J Wichelecki, Brian San Francisco, Suwen Zhao, Dmitry A Rodionov, Matthew W Vetting, Nawar F Al-Obaidi, Henry Lin, Matthew J O'Meara and 9 more

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Interactive tools for functional annotation of bacterial genomes.Database : the journal of biological databases and curation · 2024
    Article
  3. Article
  4. Emerging maps of allosteric regulation in cellular networks.Current opinion in structural biology · 2023
    Review
  5. Article
  6. Review
  7. Bayesian metamodeling of complex biological systems across varying representations.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Review
  9. Discovery of novel pathways for carbohydrate metabolism.Current opinion in chemical biology · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. From integrative structural biology to cell biology.The Journal of biological chemistry
    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

19 authors.

Sara Calhoun *Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States.
Magdalena Korczynska *Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States.ORCID 0000-0002-1339-5553
Daniel J WicheleckiInstitute for Genomic Biology, University of Illinois, Urbana, United States.
Brian San FranciscoInstitute for Genomic Biology, University of Illinois, Urbana, United States.
Suwen ZhaoDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States.ORCID 0000-0001-5609-434X
Dmitry A RodionovSanford Burnham Prebys Medical Discovery Institute, La Jolla, United States.
Matthew W VettingDepartment of Biochemistry, Albert Einstein College of Medicine, New York, United States.
Nawar F Al-ObaidiDepartment of Biochemistry, Albert Einstein College of Medicine, New York, United States.
Henry LinDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States.
Matthew J O'MearaDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States.
David A ScottSanford Burnham Prebys Medical Discovery Institute, La Jolla, United States.
John H MorrisResource for Biocomputing, Visualization and Informatics, Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States.
Daniel RusselDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States.
Steven C AlmoDepartment of Biochemistry, Albert Einstein College of Medicine, New York, United States.
Andrei L OstermanSanford Burnham Prebys Medical Discovery Institute, La Jolla, United States.
John A GerltInstitute for Genomic Biology, University of Illinois, Urbana, United States.
Matthew P JacobsonDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States.
Brian K ShoichetDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States.ORCID 0000-0002-6098-7367
Andrej SaliDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States.ORCID 0000-0003-0435-6197

Funding

Tumor Microenvironment and Cancer ImmunologyP30CA030199 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI Michael Jackson · 1985 to 2026
$107.2M
Core H: MicrobiologyU54GM093342 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CRONAN, JOHN E. · 2010 to 2015
$34.6M
Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STREAMSON C CHUA · 2015 to 2026
$27.7M
TR&D Project 4. The Imaging Stage: Multiscale Spatiotemporal Modeling of Macromolecular Systems in Cellular NeighborhoodsP41GM109824 · NIGMS · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2014 to 2023
$18.8M
Protein/Structure CoreP01GM118303 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI GERLT, JOHN A · 2016 to 2020
$11.4M
STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008284 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA · 1988 to 2022
$10.1M
Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
High Performance Computer for Computational BiosciencesS10OD021596 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALI, ANDREJ · 2016 to 2016
$443k
NCI NIH HHS P30 CA030199NIDDK NIH HHS P30 DK020541NIGMS NIH HHS P01 GM118303NIGMS NIH HHS P41 GM103311NIGMS NIH HHS P41-GM103311NIGMS NIH HHS P41 GM109824NIGMS NIH HHS T32 GM008284NIGMS NIH HHS U54 GM093342NIH HHS S10 OD021596NIH HHS U54 GM093342
6 · The paper itself

Abstract

The functions of most proteins are yet to be determined. The function of an enzyme is often defined by its interacting partners, including its substrate and product, and its role in larger metabolic networks. Here, we describe a computational method that predicts the functions of orphan enzymes by organizing them into a linear metabolic pathway. Given candidate enzyme and metabolite pathway members, this aim is achieved by finding those pathways that satisfy structural and network restraints implied by varied input information, including that from virtual screening, chemoinformatics, genomic context analysis, and ligand -binding experiments. We demonstrate this integrative pathway mapping method by predicting the L-gulonate catabolic pathway in

Indexed as

Computational BiologyEnzymesHaemophilus influenzaeMetabolic Networks and PathwaysSystems BiologyEnzymesbiophysicscomputational biologyenzyme function annotationintegrative pathway mappingl-gulonate catabolic pathwaynonepathway predictionstructural biologystructure based pathway discoverysystems biology

Identifiers

PMID29377793
PMCPMC5788505

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.