Evidence map›Paper›PMID 19733256›Full record

ReviewDrug discovery today2009

Computational analysis of membrane proteins: the largest class of drug targets.

Yalini Arinaminpathy, Ekta Khurana, Donald M Engelman, Mark B Gerstein

Abstract readReview
In one paragraph

Review in Drug discovery today, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing 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

99 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Mechanobiological Dynamics-Inspired Mechanomodulatory Biomaterials.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Cryo-electron microscopy-based drug design.Frontiers in molecular biosciences · 2024
    Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. AFTM: a database of transmembrane regions in the human proteome predicted by AlphaFold.Database : the journal of biological databases and curation · 2023
    Article

39 more citing papers are in PubMed but not listed here.

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.

Yalini ArinaminpathyDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520-8114, USA.
Ekta Khurana
Donald M Engelman
Mark B Gerstein

Funding

TM INTERACTIONS IN MEMBRANE PROTEIN FOLDING AND FUNCTIONR01GM073857 · NIGMS · YALE UNIVERSITY · PI ANDREEV, OLEG A, ENGELMAN, DONALD M. · 2006 to 2023
$8.4M
NIGMS NIH HHS R01 GM073857
6 · The paper itself

Abstract

Given the key roles of integral membrane proteins as transporters and channels, it is necessary to understand their structures and, hence, mechanisms and regulation at the molecular level. Membrane proteins represent approximately 30% of all proteins of currently sequenced genomes. Paradoxically, however, only approximately 2% of crystal structures deposited in the protein data bank are of membrane proteins, and very few of these are at high resolution (better than 2A). The great disparity between our understanding of soluble proteins and our understanding of membrane proteins is because of the practical problems of working with membrane proteins - specifically, difficulties in expression, purification and crystallization. Thus, computational modeling has been utilized extensively to make crucial advances in understanding membrane protein structure and function.

Indexed as

Computer SimulationModels, MolecularMembrane ProteinsProtein ConformationMembrane Proteins

Identifiers

PMID19733256
PMCPMC2796609

What OpenQuestion holds

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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.