Computationally Designed Peptides for Zika Virus Detection: An Incremental Construction Approach.
Antibodies, Viral
/ chemistry
Computer Simulation
Dengue Virus
/ chemistry
Drug Design
Glycosylation
Humans
Limit of Detection
Models, Molecular
Molecular Docking Simulation
Peptidomimetics
/ chemical synthesis
Serogroup
Serum
/ virology
Urine
/ virology
Viral Envelope Proteins
/ chemistry
Zika Virus
/ chemistry
Zika Virus Infection
/ diagnosis
Dengue virus
ELISA
Zika virus
antibody mimetics
molecular modelling
peptides
virtual screening
Journal
Biomolecules
ISSN: 2218-273X
Titre abrégé: Biomolecules
Pays: Switzerland
ID NLM: 101596414
Informations de publication
Date de publication:
17 09 2019
17 09 2019
Historique:
received:
31
08
2019
revised:
12
09
2019
accepted:
14
09
2019
entrez:
20
9
2019
pubmed:
20
9
2019
medline:
15
7
2020
Statut:
epublish
Résumé
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
Identifiants
pubmed: 31533374
pii: biom9090498
doi: 10.3390/biom9090498
pmc: PMC6770336
pii:
doi:
Substances chimiques
Antibodies, Viral
0
Peptidomimetics
0
Viral Envelope Proteins
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM114321
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM127706
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM047915
Pays : United States
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