Evidence map›Paper›PMID 34125127›Full record

ReviewMolecular omics2021

Mechanistic models of microbial community metabolism.

Lillian R Dillard, Dawson D Payne, Jason A Papin

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular omics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 38 citations in OpenAlex.

  1. Chondroitin sulfate degradation bolstersbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. A Survey of Statistical Methods for Microbiome Data Analysis.Frontiers in applied mathematics and statistics · 2022
    Article
  14. Article
  15. 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

3 authors at 2 institutions in 1 country.

Lillian R DillardDepartment of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA 22908, USA. papin@virginia.edu.
Dawson D Payne
Jason A Papin
University of Virginia Health System · USCharlottesville Medical Research · US

Funding

Biotechnology Training ProgramT32GM136615 · NIGMS · UNIVERSITY OF VIRGINIA · PI Silvia Salinas Blemker, Kimberly A. Kelly · 2020 to 2026
$3.4M
Multi-scale model of microbial phenotype modulation by mucinsR01AI154242 · NIAID · UNIVERSITY OF VIRGINIA · PI FORD, ROSEANNE, PAPIN, JASON · 2020 to 2024
$3.1M
Systems biology of microbe-mediated glucosinolate bioconversion in inflammatory bowel diseaseR01AT010253 · NCCIH · UNIVERSITY OF VIRGINIA · PI PAPIN, JASON · 2018 to 2021
$2.0M
Phase II Developmental Study on Fatigue in CancerR21AT001025 · NCCIH · BETH ISRAEL MEDICAL CTR (NEW YORK) · PI CRUCIANI, RICARDO · 2001 to 2002
$362k
NCCIH NIH HHS R01 AT010253NCCIH NIH HHS R21 AT001025NIAID NIH HHS R01 AI154242NIGMS NIH HHS T32 GM136615
6 · The paper itself

Abstract

Microbial communities affect many facets of human health and well-being. Naturally occurring bacteria, whether in nature or the human body, rarely exist in isolation. A deeper understanding of the metabolic functions of these communities is now possible with emerging computational models. In this review, we summarize frameworks for constructing mechanistic models of microbial community metabolism and discuss available algorithms for model analysis. We highlight essential decision points that greatly influence algorithm selection, as well as model analysis. Polymicrobial metabolic models can be utilized to gain insights into host-pathogen interactions, bacterial engineering, and many more translational applications.

Indexed as

AlgorithmsBacteriaBioengineeringHost-Pathogen InteractionsHumansMicrobial InteractionsMicrobiotaModels, Biological

Identifiers

PMID34125127
PMCPMC8202304
OpenAlexW3137629078

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.