Evidence map›Paper›PMID 26684487›Full record

ReviewCurrent opinion in structural biology2015

Integration of structural dynamics and molecular evolution via protein interaction networks: a new era in genomic medicine.

Avishek Kumar, Brandon M Butler, Sudhir Kumar, S Banu Ozkan

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in structural biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

22 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Network Pharmacology-Based Study on the Mechanism ofEvidence-based complementary and alternative medicine : eCAM · 2020
    Article
  10. Protein ensembles link genotype to phenotype.PLoS computational biology · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Ancient thioredoxins evolved to modern-day stability-function requirement by altering native state ensemble.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 2 countries.

Avishek KumarDepartment of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ 85281, United States.
Brandon M ButlerDepartment of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ 85281, United States.
Sudhir KumarInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, United States; Department of Biology, Temple University, Philadelphia, PA 19122, United States; Center for Genomic Medicine and Research, King Abdulaziz University, Jeddah, Saudi Arabia.
S Banu OzkanDepartment of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ 85281, United States. Electronic address: Banu.Ozkan@asu.edu.
Arizona State University · USKing Abdulaziz University · SA

Funding

Center for the Rational Design of Membrane Protein CrystallographyU54GM094599 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI FROMME, PETRA · 2010 to 2014
$6.8M
COMPARATIVE MOLECULAR SEQUENCE ANALYSISR01HG002096 · NHGRI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI KUMAR, SUDHIR · 2000 to 2013
$3.0M
Methods for Evolutionary Informed Network Analysis to Discover Disease VariationR01DK098242 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DUDLEY, JOEL THOMAS · 2013 to 2016
$1.7M
Computational diagnosis of non-synonymous variations using structural dynamicsR21LM011941 · NLM · TEMPLE UNIV OF THE COMMONWEALTH · PI GEREK INCE, ZEYNEP NEVIN · 2014 to 2015
$404k
NHGRI NIH HHS HG002096-12NHGRI NIH HHS R01 HG002096NIDDK NIH HHS DK098242-03NIDDK NIH HHS R01 DK098242NIGMS NIH HHS U54 GM094599NLM NIH HHS LM011941-01NLM NIH HHS LM011941-02NLM NIH HHS R21 LM011941PHS HHS U54GN0945999
6 · The paper itself

Abstract

Sequencing technologies are revealing many new non-synonymous single nucleotide variants (nsSNVs) in each personal exome. To assess their functional impacts, comparative genomics is frequently employed to predict if they are benign or not. However, evolutionary analysis alone is insufficient, because it misdiagnoses many disease-associated nsSNVs, such as those at positions involved in protein interfaces, and because evolutionary predictions do not provide mechanistic insights into functional change or loss. Structural analyses can aid in overcoming both of these problems by incorporating conformational dynamics and allostery in nSNV diagnosis. Finally, protein-protein interaction networks using systems-level methodologies shed light onto disease etiology and pathogenesis. Bridging these network approaches with structurally resolved protein interactions and dynamics will advance genomic medicine.

Indexed as

Evolution, MolecularDiseaseGenomicsHumansMedicineProtein Interaction MappingProteinsProteins

Identifiers

PMID26684487
PMCPMC4856467
OpenAlexW2190773154

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.