Evidence map›Paper›PMID 36175827›Full record

ArticleBMC bioinformatics2022

Small molecule modulation of microbiota: a systems pharmacology perspective.

Qiao Liu, Bohyun Lee, Lei Xie

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 1 institution in 1 country.

Qiao LiuDepartment of Computer Science, Hunter College, The City University of New York, New York, NY, USA.
Bohyun LeePh.D. Program in Computer Science, The City University of New York, New York, NY, USA.
Lei XieDepartment of Computer Science, Hunter College, The City University of New York, New York, NY, USA. lxie@iscb.org.ORCID http://orcid.org/0000-0001-9051-2111
City University of New York · US

Funding

Drug repurposing for Alzheimer's disease using structural systems pharmacology.R01AG057555 · NIA · NORTHEASTERN UNIVERSITY · PI Lei Xie · 2018 to 2026
$6.7M
Omics data integration and analysis for structure-based multi-target drug designR01GM122845 · NIGMS · NORTHEASTERN UNIVERSITY · PI Lei Xie · 2017 to 2026
$3.0M
Drug repurposing for Alzheimer's disease using structural systems pharmacologyR56AG057555 · NIA · HUNTER COLLEGE · PI XIE, LEI · 2017 to 2017
$771k
NIA NIH HHS R01AD057555NIA NIH HHS R01 AG057555NIGMS NIH HHS R01 GM122845NIGMS NIH HHS R01GM122845
6 · The paper itself

Abstract

backgroundMicrobes are associated with many human diseases and influence drug efficacy. Small-molecule drugs may revolutionize biomedicine by fine-tuning the microbiota on the basis of individual patient microbiome signatures. However, emerging endeavors in small-molecule microbiome drug discovery continue to follow a conventional "one-drug-one-target-one-disease" process. A systematic pharmacology approach that would suppress multiple interacting pathogenic species in the microbiome, could offer an attractive alternative solution.

resultsWe construct a disease-centric signed microbe-microbe interaction network using curated microbe metabolite information and their effects on host. We develop a Signed Random Walk with Restart algorithm for the accurate prediction of effect of microbes on human health and diseases. With a survey on the druggable and evolutionary space of microbe proteins, we find that 8-10% of them can be targeted by existing drugs or drug-like chemicals and that 25% of them have homologs to human proteins. We demonstrate that drugs for diabetes can be the lead compounds for development of microbiota-targeted therapeutics. We further show that the potential drug targets that specifically exist in pathogenic microbes are periplasmic and cellular outer membrane proteins.

conclusionThe systematic studies of the polypharmacological landscape of the microbiome network may open a new avenue for the small-molecule drug discovery of the microbiome. We believe that the application of systematic method on the polypharmacological investigation could lead to the discovery of novel drug therapies.

Indexed as

MicrobiotaNetwork PharmacologyDrug DiscoveryHumansMembrane ProteinsMicrobial InteractionsMembrane ProteinsDrug discoveryMicrobe–microbe interaction networkPolypharmacologySystematical biology

Identifiers

PMID36175827
PMCPMC9523894
OpenAlexW4297997374

What OpenQuestion holds

Textmetadata
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.