Evidence map›Paper›PMID 11248060›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2001

Predicting crossover generation in DNA shuffling.

G L Moore, C D Maranas, S Lutz, S J Benkovic

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Recombination during in vitro evolution.Journal of molecular evolution · 2005
    Article
  11. Evolution of highly active enzymes by homology-independent recombination.Proceedings of the National Academy of Sciences of the United States of America · 2005
    Article
  12. Evolution and evolvability of proteins in the laboratory.Proceedings of the National Academy of Sciences of the United States of America · 2004
    Article
  13. Review
  14. Article
  15. Identifying residue-residue clashes in protein hybrids by using a second-order mean-field approach.Proceedings of the National Academy of Sciences of the United States of America · 2003
    Article
  16. Computational and experimental analysis of DNA shuffling.Proceedings of the National Academy of Sciences of the United States of America · 2003
    Article
  17. Article
  18. Article
  19. Article
  20. Creating multiple-crossover DNA libraries independent of sequence identity.Proceedings of the National Academy of Sciences of the United States of America · 2001
    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.

G L MooreDepartment of Chemical Engineering, 112A Fenske Laboratory, Pennsylvania State University, University Park, PA 16802, USA.
C D Maranas
S Lutz
S J Benkovic

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce a quantitative framework for assessing the generation of crossovers in DNA shuffling experiments. The approach uses free energy calculations and complete sequence information to model the annealing process. Statistics obtained for the annealing events then are combined with a reassembly algorithm to infer crossover allocation in the reassembled sequences. The fraction of reassembled sequences containing zero, one, two, or more crossovers and the probability that a given nucleotide position in a reassembled sequence is the site of a crossover event are estimated. Comparisons of the predictions against experimental data for five example systems demonstrate good agreement despite the fact that no adjustable parameters are used. An in silico case study of a set of 12 subtilases examines the effect of fragmentation length, annealing temperature, sequence identity and number of shuffled sequences on the number, type, and distribution of crossovers. A computational verification of crossover aggregation in regions of near-perfect sequence identity and the presence of synergistic reassembly in family DNA shuffling is obtained.

Indexed as

Computer SimulationCrossing Over, GeneticDNAEvolution, MolecularModels, GeneticAlgorithmsAnimalsCephalosporinaseHumansInterleukin-1MiceSubtilisinsCephalosporinaseDNAInterleukin-1Subtilisins

Identifiers

PMID11248060
PMCPMC30635

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.