Evidence map›Paper›PMID 32782424›Full record

ArticleEvolutionary bioinformatics online2020

Generation of Cry11 Variants of

Efraín Hernando Pinzón-Reyes, Daniel Alfonso Sierra-Bueno, Miguel Orlando Suarez-Barrera, Nohora Juliana Rueda-Forero, Sebastián Abaunza-Villamizar, Paola Rondón-Villareal

Open access · goldAbstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Can (We Make)Toxins · 2021
    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

6 authors at 3 institutions in 2 countries.

Efraín Hernando Pinzón-ReyesUniversidad de Santander, Faculty of Health Sciences, Laboratory of Molecular Biology and Biotechnology, Bucaramanga, Colombia.ORCID https://orcid.org/0000-0002-8131-2772
Daniel Alfonso Sierra-BuenoE3T, School of Engineering, Universidad Industrial de Santander (UIS), Bucaramanga, Colombia.ORCID https://orcid.org/0000-0002-9566-5974
Miguel Orlando Suarez-BarreraUniversidad de Santander, Faculty of Health Sciences, Laboratory of Molecular Biology and Biotechnology, Bucaramanga, Colombia.
Nohora Juliana Rueda-ForeroUniversidad de Santander, Faculty of Health Sciences, Laboratory of Molecular Biology and Biotechnology, Bucaramanga, Colombia.ORCID https://orcid.org/0000-0003-1189-0603
Sebastián Abaunza-VillamizarUniversidad de Santander, Faculty of Health Sciences, Laboratory of Molecular Biology and Biotechnology, Bucaramanga, Colombia.
Paola Rondón-VillarealUniversidad de Santander, Faculty of Health Sciences, Laboratory of Molecular Biology and Biotechnology, Bucaramanga, Colombia.
Universidad De Santander · COIndustrial University of Santander · COUniversity of Talca · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Directed evolution methods mimic in vitro Darwinian evolution, inducing random mutations and selective pressure in genes to obtain proteins with enhanced characteristics. These techniques are developed using trial-and-error testing at an experimental level with a high degree of uncertainty. Therefore, in silico modeling of directed evolution is required to support experimental assays. Several in silico approaches have reproduced directed evolution, using statistical, thermodynamic, and kinetic models in an attempt to recreate experimental conditions. Likewise, optimization techniques using heuristic models have been used to understand and find the best scenarios of directed evolution. Our study uses an in silico model named HeurIstics DirecteD EvolutioN, which is based on a genetic algorithm designed to generate chimeric libraries from 2 parental genes,

Indexed as

Bacillus thuringiensisdirected molecular evolutionHeuristicsprotein engineering

Identifiers

PMID32782424
PMCPMC7385851
OpenAlexW3045590881

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.