Evidence map›Paper›PMID 21917716›Full record

ReviewScience signaling2011

Systems biology--biomedical modeling.

Eric A Sobie, Young-Seon Lee, Sherry L Jenkins, Ravi Iyengar

Abstract readReview
In one paragraph

Review in Science signaling, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Systems medicine: evolution of systems biology from bench to bedside.Wiley interdisciplinary reviews. Systems biology and medicine
    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

4 authors.

Eric A SobieDepartment of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA. eric.sobie@mssm.edu
Young-Seon Lee
Sherry L Jenkins
Ravi Iyengar

Funding

System Biology Center in New YorkP50GM071558 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ZAPH, SUSANA NEVES · 2007 to 2017
$22.8M
MOLECULAR MECHANISM OF DESENSITIZATIONR01GM054508 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI IYENGAR, SRINIVAS RAVI V · 1995 to 2016
$8.0M
Teaching biomedical and pharmacological trainees to produce FAIR data for AI & ML applicationsT32GM062754 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI SCHLESSINGER, AVNER · 2001 to 2023
$6.2M
NIGMS NIH HHS P50 GM071558NIGMS NIH HHS R01 GM054508NIGMS NIH HHS T32 GM062754NIGMS NIH HHS T32GM062754
6 · The paper itself

Abstract

Because of the complexity inherent in biological systems, many researchers frequently rely on a combination of global analysis and computational approaches to gain insight into both (i) how interacting components can produce complex system behaviors, and (ii) how changes in conditions may alter these behaviors. Because the biological details of a particular system are generally not taught along with the quantitative approaches that enable hypothesis generation and analysis of the system, we developed a course at Mount Sinai School of Medicine that introduces first-year graduate students to these computational principles and approaches. We anticipate that such approaches will apply throughout the biomedical sciences and that courses such as the one described here will become a core requirement of many graduate programs in the biological and biomedical sciences.

Indexed as

Models, BiologicalAnimalsHumansSystems Biology

Identifiers

PMID21917716
PMCPMC3188945

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.