Evidence map›Paper›PMID 16513775›Full record

ArticleBiophysical journal2006

IPRO: an iterative computational protein library redesign and optimization procedure.

Manish C Saraf, Gregory L Moore, Nina M Goodey, Vania Y Cao, Stephen J Benkovic, Costas D Maranas

Abstract read
In one paragraph

Article in Biophysical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Structure-based design of combinatorial mutagenesis libraries.Protein science : a publication of the Protein Society · 2015
    Article
  10. Article
  11. Review
  12. Article
  13. Forcefield_PTM:Journal of chemical theory and computation · 2013
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Engineering a protein-protein interface using a computationally designed library.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
  20. Computational design of Candida boidinii xylose reductase for altered cofactor specificity.Protein science : a publication of the Protein Society · 2009
    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

6 authors.

Manish C SarafDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Gregory L Moore
Nina M Goodey
Vania Y Cao
Stephen J Benkovic
Costas D Maranas

Funding

TRANSFORMYLASE ENZYMES--DIHYDROFOLATE REDUCTASER01GM024129 · NIGMS · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI BENKOVIC, STEPHEN J · 1985 to 2024
$5.2M
TRANSFORMYLASE ENZYMES/DIHYDROFOLATE REDUCTASER37GM024129 · NIGMS · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI BENKOVIC, STEPHEN J · 1987 to 1996
–
NIGMS NIH HHS GM 24129NIGMS NIH HHS R01 GM024129NIGMS NIH HHS R37 GM024129
6 · The paper itself

Abstract

A number of computational approaches have been developed to reengineer promising chimeric proteins one at a time through targeted point mutations. In this article, we introduce the computational procedure IPRO (iterative protein redesign and optimization procedure) for the redesign of an entire combinatorial protein library in one step using energy-based scoring functions. IPRO relies on identifying mutations in the parental sequences, which when propagated downstream in the combinatorial library, improve the average quality of the library (e.g., stability, binding affinity, specific activity, etc.). Residue and rotamer design choices are driven by a globally convergent mixed-integer linear programming formulation. Unlike many of the available computational approaches, the procedure allows for backbone movement as well as redocking of the associated ligands after a prespecified number of design iterations. IPRO can also be used, as a limiting case, for the redesign of a single or handful of individual sequences. The application of IPRO is highlighted through the redesign of a 16-member library of Escherichia coli/Bacillus subtilis dihydrofolate reductase hybrids, both individually and through upstream parental sequence redesign, for improving the average binding energy. Computational results demonstrate that it is indeed feasible to improve the overall library quality as exemplified by binding energy scores through targeted mutations in the parental sequences.

Indexed as

Databases, ProteinModels, MolecularAlgorithmsBacillus subtilisBacterial ProteinsEscherichia coliMutant Chimeric ProteinsMutationTetrahydrofolate DehydrogenaseBacterial ProteinsMutant Chimeric ProteinsTetrahydrofolate Dehydrogenase

Identifiers

PMID16513775
PMCPMC1459523

What OpenQuestion holds

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Registered trials

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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.