Evidence map›Paper›PMID 24688649›Full record

ReviewComputational and structural biotechnology journal2012

Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein Engineering.

Rajni Verma, Ulrich Schwaneberg, Danilo Roccatano

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Substrate scope of ancestral versus modern family-1 glycosidases.Protein science : a publication of the Protein Society · 2026
    Article
  2. Anti-CRISPR-mediated continuous directed evolution of CRISPR-Cas9 in human cells.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
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  5. Review
  6. Advances in the Directed Evolution of Computer-aided Enzymes.Current topics in medicinal chemistry · 2025
    Review
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  8. Review
  9. Article
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  11. Article
  12. Review
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  15. Article
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  18. Article
  19. IUCrJ · 2017
    Article
  20. The Need for Integrated Approaches in Metabolic Engineering.Cold Spring Harbor perspectives in biology · 2016
    Review
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

3 authors.

Rajni VermaSchool of Engineering and Science, Jacobs University Bremen, Campus Ring 1, 28759 Bremen, Germany ; Department of Biotechnology, RWTH Aachen University, Worringer Weg 1, 52074 Aachen, Germany.
Ulrich SchwanebergDepartment of Biotechnology, RWTH Aachen University, Worringer Weg 1, 52074 Aachen, Germany.
Danilo RoccatanoSchool of Engineering and Science, Jacobs University Bremen, Campus Ring 1, 28759 Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of computational and directed evolution methods has proven a winning strategy for protein engineering. We refer to this approach as computer-aided protein directed evolution (CAPDE) and the review summarizes the recent developments in this rapidly growing field. We will restrict ourselves to overview the availability, usability and limitations of web servers, databases and other computational tools proposed in the last five years. The goal of this review is to provide concise information about currently available computational resources to assist the design of directed evolution based protein engineering experiment.

Indexed as

directed evolutiondiversity generationfocused librarymutational effectrational designsemi-rational design

Identifiers

PMID24688649
PMCPMC3962222

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.