Evidence map›Paper›PMID 21493122›Full record

ReviewCurrent opinion in chemical biology2011

Computational protein design: engineering molecular diversity, nonnatural enzymes, nonbiological cofactor complexes, and membrane proteins.

Jeffery G Saven

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Computational strategies for the design of new enzymatic functions.Archives of biochemistry and biophysics · 2015
    Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. A glimpse of enzymology within the idea of systems.Science China. Life sciences · 2012
    Article
  12. Computational design of membrane proteins.Structure (London, England : 1993) · 2012
    Review
  13. Computational Enzyme Design: Advances, hurdles and possible ways forward.Computational and structural biotechnology journal · 2012
    Review
  14. Computational approaches for rational design of proteins with novel functionalities.Computational and structural biotechnology journal · 2012
    Review
  15. 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

1 author.

Jeffery G SavenDepartment of Chemistry, University of Pennsylvania, 231 South 34th Street, Philadelphia, PA 19104, USA.

Funding

X-ray and Neutron Interferometry Studies of Anesthetic Interactions with VoltageP01GM055876 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LOLL, PATRICK J · 1997 to 2017
$22.4M
Force Microscopy of Endothelial Cells on Novel Peptide MaterialsR01HL085303 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HAMMER, DANIEL A · 2007 to 2011
$2.1M
NHLBI NIH HHS R01 HL085303NIGMS NIH HHS P01 GM055876NIGMS NIH HHS P01 GM55876
6 · The paper itself

Abstract

Computational and theoretical methods are advancing protein design as a means to create and investigate proteins. Such efforts further our capacity to control, design and understand biomolecular structure, sequence and function. Herein, the focus is on some recent applications that involve using theoretical and computational methods to guide the design of protein sequence ensembles, new enzymes, proteins with novel cofactors, and membrane proteins.

Indexed as

Protein EngineeringCoenzymesComputational BiologyEnzymesMembrane ProteinsProteinsCoenzymesEnzymesMembrane ProteinsProteins

Identifiers

PMID21493122
PMCPMC4077665

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.