Identification of Structurally Related Antibodies in Antibody Sequence Databases Using Rosetta-Derived Position-Specific Scoring.
Antibodies
/ chemistry
Antibodies, Viral
/ chemistry
Complementarity Determining Regions
/ chemistry
Crystallography, X-Ray
Databases, Factual
Epitopes
/ metabolism
Hemagglutinin Glycoproteins, Influenza Virus
/ immunology
Humans
Immunoglobulin Fab Fragments
/ chemistry
Recombinant Proteins
/ genetics
Sequence Homology, Amino Acid
Structural Homology, Protein
antibodies
antibody diversity
antiviral
human
influenza
influenza virus
molecular sequence data
neutralizing
protection
Journal
Structure (London, England : 1993)
ISSN: 1878-4186
Titre abrégé: Structure
Pays: United States
ID NLM: 101087697
Informations de publication
Date de publication:
06 10 2020
06 10 2020
Historique:
received:
08
12
2019
revised:
16
06
2020
accepted:
22
07
2020
pubmed:
14
8
2020
medline:
14
8
2021
entrez:
14
8
2020
Statut:
ppublish
Résumé
The amount of antibody (Ab) variable gene sequence information is expanding rapidly, but our ability to predict the function of Abs from sequence alone is limited. Here, we describe a sequence-to-function prediction method that couples structural data for a single Ab/antigen (Ag) complex with repertoire data. We used a position-specific structure-scoring matrix (P3SM) incorporating structure-prediction scores from Rosetta to identify Ab variable loops that have predicted structural similarity to the influenza virus-specific human Ab CH65. The P3SM approach identified new members of this Ab class. Recombinant Ab expression, crystallography, and virus inhibition assays showed that the HCDR3 loops of the newly identified Abs possessed similar structure and antiviral activity as the comparator CH65. This approach enables discovery of new human Abs with desired structure and function using cDNA repertoires that are obtained readily with current amplicon sequencing techniques.
Identifiants
pubmed: 32783953
pii: S0969-2126(20)30245-8
doi: 10.1016/j.str.2020.07.012
pmc: PMC7544681
mid: NIHMS1620492
pii:
doi:
Substances chimiques
Antibodies
0
Antibodies, Viral
0
Complementarity Determining Regions
0
Epitopes
0
Hemagglutinin Glycoproteins, Influenza Virus
0
Immunoglobulin Fab Fragments
0
Recombinant 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
Pagination
1124-1130.e5Subventions
Organisme : NIAID NIH HHS
ID : HHSN272201400024C
Pays : United States
Organisme : NIAID NIH HHS
ID : T32 AI089554
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI117905
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Interests J.E.C. has served as a consultant for GSK Vaccines, Lilly, Sanofi and Sanofi Pasteur, Pfizer, and Novavax, is on the Scientific Advisory Boards of CompuVax and Meissa Vaccines, and is Founder of IDBiologics, Inc. All other authors declare there are no conflicts.
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