Evidence map›Paper›PMID 19841629›Full record

ReviewNature chemical biology2009

Computer-aided design of functional protein interactions.

Daniel J Mandell, Tanja Kortemme

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature chemical biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

78 citing papers in PubMed.

  1. Article
  2. Assembly and Functionality of 2D Protein Arrays.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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  5. Review
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  13. Review
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  18. Review
  19. The Need for Integrated Approaches in Metabolic Engineering.Cold Spring Harbor perspectives in biology · 2016
    Review
  20. Rational design of TNFα binding proteins based on the de novo designed protein DS119.Protein science : a publication of the Protein Society · 2016
    Article

18 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.

Daniel J MandellGraduate Program in Bioinformatics and Computational Biology, California Institute for Quantitative Biosciences, and Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, USA.
Tanja Kortemme

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictive methods for the computational design of proteins search for amino acid sequences adopting desired structures that perform specific functions. Typically, design of 'function' is formulated as engineering new and altered binding activities into proteins. Progress in the design of functional protein-protein interactions is directed toward engineering proteins to precisely control biological processes by specifically recognizing desired interaction partners while avoiding competitors. The field is aiming for strategies to harness recent advances in high-resolution computational modeling-particularly those exploiting protein conformational variability-to engineer new functions and incorporate many functional requirements simultaneously.

Indexed as

Biological PhenomenaCatalysisComputer-Aided DesignDimerizationModels, MolecularPeptidesProtein ConformationProtein EngineeringProtein MultimerizationProteinsResearch DesignSignal TransductionPeptidesProteins

Identifiers

PMID19841629

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.