Evidence map›Paper›PMID 18375453›Full record

ArticleProtein engineering, design & selection : PEDS2008

Amino acid alphabet size in protein evolution experiments: better to search a small library thoroughly or a large library sparsely?

Enrique Muñoz, Michael W Deem

Abstract read
In one paragraph

Article in Protein engineering, design & selection : PEDS, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Trade-offs in antibody repertoires to complex antigens.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. 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

2 authors.

Enrique MuñozDepartment of Bioengineering, Rice University, Houston, TX 77005-1892, USA.
Michael W Deem

Funding

NANOBIOLOGY INSTITUTIONAL TRAINING GRANT(RMI)R90DK071504 · NIDDK · UNIVERSITY OF HOUSTON · PI PETTITT, BERNARD MONTGOMERY · 2004 to 2008
$1.3M
NIDDK NIH HHS R90 DK071504NIDDK NIH HHS R90DK071504-01
6 · The paper itself

Abstract

We compare the results obtained from searching a smaller library thoroughly versus searching a more diverse, larger library sparsely. We study protein evolution with reduced amino acid alphabets, by simulating directed evolution experiments at three different alphabet sizes: 20, 5 and 2. We employ a physical model for evolution, the generalized NK model, that has proved successful in modeling protein evolution, antibody evolution and T-cell selection. We find that antibodies with higher affinity are found by searching a library with a larger alphabet sparsely than by searching a smaller library thoroughly, even with well-designed reduced libraries. We also find ranked amino acid usage frequencies in agreement with observations of the CDR-H3 variable region of human antibodies.

Indexed as

Amino AcidsComputer SimulationEntropyEvolution, MolecularGene LibraryModels, StatisticalMonte Carlo MethodPeptide LibraryProtein ConformationProtein EngineeringProteinsProtein Structure, TertiarySaccharomyces cerevisiaeT-LymphocytesAmino AcidsPeptide LibraryProteins

Identifiers

PMID18375453
PMCPMC4478448

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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.