Evidence map›Paper›PMID 17644370›Full record

ReviewCurrent opinion in biotechnology2007

Progress in computational protein design.

Shaun M Lippow, Bruce Tidor

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Protein Assembly by Design.Chemical reviews · 2021
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Parallel Computational Protein Design.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  20. Article

13 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

2 authors.

Shaun M LippowDepartment of Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA. lippow@alum.mit.edu
Bruce Tidor

Funding

Engineered Antibody EGFR Antagonist Cancer TherapeuticsR01CA096504 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WITTRUP, KARL DANE · 2002 to 2017
$9.7M
Packing and Electrostatic Effects on Folding and BindingR01GM065418 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI TIDOR, BRUCE · 2003 to 2012
$1.8M
Packing and Electrostatic Effects on Folding and BindingR56GM065418 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI TIDOR, BRUCE · 2008 to 2008
$300k
NCI NIH HHS CA96507NCI NIH HHS R01 CA096504NIGMS NIH HHS GM65418NIGMS NIH HHS R01 GM065418NIGMS NIH HHS R56 GM065418
6 · The paper itself

Abstract

Current progress in computational structure-based protein design is reviewed in the areas of methodology and applications. Foundational advances include new potential functions, more efficient ways of computing energetics, flexible treatments of solvent, and useful energy function approximations, as well as ensemble-based approaches to scoring designs for inclusion of entropic effects, improvements to guaranteed and to stochastic search techniques, and methods to design combinatorial libraries for screening and selection. Applications include new approaches and successes in the design of specificity for protein folding, binding, and catalysis, in the redesign of proteins for enhanced binding affinity, and in the application of design technology to study and alter enzyme catalysis. Computational protein design continues to mature and advance.

Indexed as

AlgorithmsComputational BiologyComputer-Aided DesignProtein ConformationProtein EngineeringProteinsProteins

Identifiers

PMID17644370
PMCPMC3495006

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.