Evidence map›Paper›PMID 31533374›Full record

ArticleBiomolecules2019

Computationally Designed Peptides for Zika Virus Detection: An Incremental Construction Approach.

Marcello Mascini, Emre Dikici, Marta Robles Mañueco, Julio A Perez-Erviti, Sapna K Deo, Dario Compagnone, Joseph Wang, José M Pingarrón, Sylvia Daunert

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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

9 authors at 5 institutions in 4 countries.

Marcello MasciniDepartment of Analytical Chemistry, Faculty of Chemistry, University Complutense of Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain. mmascini@unite.it.ORCID 0000-0003-2508-5680
Emre DikiciDepartment of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA. edikici@med.miami.edu.
Marta Robles MañuecoDepartment of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA. mroblesma@gmail.com.
Julio A Perez-ErvitiCenter for Protein Studies, Faculty of Biology, University of Havana, Havana 10400, Cuba. japerviti@gmail.com.
Sapna K DeoDepartment of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA. sdeo@med.miami.edu.
Dario CompagnoneFaculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100 Teramo, Italy. dcompagnone@unite.it.ORCID 0000-0001-7849-8943
Joseph WangDepartment of Nanoengineering, University of California, San Diego, La Jolla, CA 92093, USA. josephwang@eng.ucsd.edu.
José M PingarrónDepartment of Analytical Chemistry, Faculty of Chemistry, University Complutense of Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain. pingarro@ucm.es.
Sylvia DaunertDepartment of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA. sdaunert@med.miami.edu.
University of Miami · USUniversidad Complutense de Madrid · ESUniversity of California San Diego · USUniversity of Havana · CUUniversity of Teramo · IT

Funding

PHOTOPROTEINS AS LABELS IN BIOLUMINESCENCE ASSAYSR01GM047915 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI DAUNERT, SYLVIA · 2000 to 2013
$3.5M
Sensitive Detection of Viral Persistency Using Bioluminescent Stem-Loop ProbesR01GM114321 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI DEO, SAPNA K · 2015 to 2019
$1.5M
Portable, Rapid, Multiplexed Flow strip Test for BacteriaR01GM127706 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI DAUNERT, SYLVIA, DEO, SAPNA K · 2018 to 2021
$1.2M
NIGMS NIH HHS R01 GM047915NIGMS NIH HHS R01 GM114321NIGMS NIH HHS R01 GM127706
6 · The paper itself

Abstract

Herein, and in contrast to current production of anti-Zika virus antibodies, we propose a semi-combinatorial virtual strategy to select short peptides as biomimetic antibodies/binding agents for the detection of intact Zika virus (ZIKV) particles. The virtual approach was based on generating different docking cycles of tetra, penta, hexa, and heptapeptide libraries by maximizing the discrimination between the amino acid motif in the ZIKV and dengue virus (DENV) envelope protein glycosylation site. Eight peptides, two for each length (tetra, penta, hexa, and heptapeptide) were then synthesized and tested vs. intact ZIKV particles by using a direct enzyme linked immunosorbent assay (ELISA). As a reference, we employed a well-established anti-ZIKV antibody, the antibody 4G2. Three peptide-based assays had good detection limits with dynamic range starting from 10

Indexed as

Antibodies, ViralComputer SimulationDengue VirusDrug DesignGlycosylationHumansLimit of DetectionModels, MolecularMolecular Docking SimulationPeptidomimeticsSerogroupSerumUrineViral Envelope ProteinsZika VirusZika Virus InfectionAntibodies, ViralPeptidomimeticsViral Envelope Proteinsantibody mimeticsDengue virusELISAmolecular modellingpeptidesvirtual screeningZika virus

Identifiers

PMID31533374
PMCPMC6770336
OpenAlexW2974682480

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.