Evidence map›Paper›PMID 30972433›Full record

ReviewEuropean biophysics journal : EBJ2019

From biophysics to 'omics and systems biology.

Marko Djordjevic, Andjela Rodic, Stefan Graovac

Abstract readReview
PubMed Publisher
In one paragraph

Review in European biophysics journal : EBJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. A systems biology approach to COVID-19 progression in population.Advances in protein chemistry and structural biology · 2021
    Review
  8. Perspectives From Systems Biology to Improve Knowledge ofFrontiers in cellular and infection microbiology · 2021
    Article
  9. Review
  10. Regional Biophysics Conference: RBC2018.European biophysics journal : EBJ · 2019
    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

3 authors.

Marko DjordjevicFaculty of Biology, Institute of Physiology and Biochemistry, University of Belgrade, Belgrade, Serbia. dmarko@bio.bg.ac.rs.ORCID http://orcid.org/0000-0002-2903-3119
Andjela RodicFaculty of Biology, Institute of Physiology and Biochemistry, University of Belgrade, Belgrade, Serbia.ORCID http://orcid.org/0000-0003-2872-9066
Stefan GraovacFaculty of Biology, Institute of Physiology and Biochemistry, University of Belgrade, Belgrade, Serbia.

Funding

Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja ON173052Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung SCOPES IZ73Z0_152297
6 · The paper itself

Abstract

Recent decades brought a revolution to biology, driven mainly by exponentially increasing amounts of data coming from "'omics" sciences. To handle these data, bioinformatics often has to combine biologically heterogeneous signals, for which methods from statistics and engineering (e.g. machine learning) are often used. While such an approach is sometimes necessary, it effectively treats the underlying biological processes as a black box. Similarly, systems biology deals with inherently complex systems, characterized by a large number of degrees of freedom, and interactions that are highly non-linear. To deal with this complexity, the underlying physical interactions are often (over)simplified, such as in Boolean modelling of network dynamics. In this review, we argue for the utility of applying a biophysical approach in bioinformatics and systems biology, including discussion of two examples from our research which address sequence analysis and understanding intracellular gene expression dynamics.

Indexed as

BiophysicsGene Expression RegulationProteomicsSequence Analysis, DNASystems BiologyBiophysical modellingGene expression regulationIntracellular dynamicsSequence analysisSystems biology

Identifiers

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.