Evidence map›Paper›PMID 23369829›Full record

ReviewAdvanced drug delivery reviews2013

Drug target inference through pathway analysis of genomics data.

Haisu Ma, Hongyu Zhao

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Efficient Drug-Pathway Association Analysis via Integrative Penalized Matrix Decomposition.IEEE/ACM transactions on computational biology and bioinformatics
    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

2 authors.

Haisu MaProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA. haisu.ma@yale.edu
Hongyu Zhao

Funding

Clinical Study of PHY906, a Novel Chinese Herbal Medicine, as a Modulator of IrinP01CA154295 · NCI · YALE UNIVERSITY · PI CHENG, YUNG-CHI · 2011 to 2016
$6.4M
STATISTICAL METHODS TO MAP GENES FOR COMPLEX TRAITSR01GM059507 · NIGMS · YALE UNIVERSITY · PI ZHAO, HONGYU · 1999 to 2013
$3.6M
Statistical Methods to Study Dynamic Transcriptional Regulatory NetworksR21GM084008 · NIGMS · YALE UNIVERSITY · PI SUN, NING · 2008 to 2009
$455k
NCI NIH HHS P01 CA154295NIGMS NIH HHS R01 GM059507NIGMS NIH HHS R01 GM59507NIGMS NIH HHS R21 GM084008NIGMS NIH HHS R21-GM084008
6 · The paper itself

Abstract

Statistical modeling coupled with bioinformatics is commonly used for drug discovery. Although there exist many approaches for single target based drug design and target inference, recent years have seen a paradigm shift to system-level pharmacological research. Pathway analysis of genomics data represents one promising direction for computational inference of drug targets. This article aims at providing a comprehensive review on the evolving issues in this field, covering methodological developments, their pros and cons, as well as future research directions.

Indexed as

Drug DiscoveryGenomicsHumansSystems Biology

Identifiers

PMID23369829
PMCPMC3672337

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.