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About:
Pepitope: epitope mapping from affinity-selected peptides
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
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document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Pepitope: epitope mapping from affinity-selected peptides
Creator
Gershoni, Jonathan
Freund, Natalia
Bublil, Erez
Erez, Elana
Martz, Eric
Mayrose, Itay
Penn, Osnat
Pupko, Tal
Rubinstein, Nimrod
Ruppin, Eytan
Sharan, Roded
Shlomi, Tomer
Source
PMC
abstract
Identifying the epitope to which an antibody binds is central for many immunological applications such as drug design and vaccine development. The Pepitope server is a web-based tool that aims at predicting discontinuous epitopes based on a set of peptides that were affinity-selected against a monoclonal antibody of interest. The server implements three different algorithms for epitope mapping: PepSurf, Mapitope, and a combination of the two. The rationale behind these algorithms is that the set of peptides mimics the genuine epitope in terms of physicochemical properties and spatial organization. When the three-dimensional (3D) structure of the antigen is known, the information in these peptides can be used to computationally infer the corresponding epitope. A user-friendly web interface and a graphical tool that allows viewing the predicted epitopes were developed. Pepitope can also be applied for inferring other types of protein–protein interactions beyond the immunological context, and as a general tool for aligning linear sequences to a 3D structure. Availability: http://pepitope.tau.ac.il/ Contact: talp@post.tau.ac.il
has issue date
2007-12-01
(
xsd:dateTime
)
bibo:doi
10.1093/bioinformatics/btm493
bibo:pmid
17977889
has license
no-cc
sha1sum (hex)
c43534bdac307a5c7c6b9d8ddf1f852aa355a3b2
schema:url
https://doi.org/10.1093/bioinformatics/btm493
resource representing a document's title
Pepitope: epitope mapping from affinity-selected peptides
has PubMed Central identifier
PMC7110138
has PubMed identifier
17977889
schema:publication
Bioinformatics
resource representing a document's body
covid:c43534bdac307a5c7c6b9d8ddf1f852aa355a3b2#body_text
is
schema:about
of
named entity 'AFFINITY'
named entity 'epitope'
named entity 'server'
named entity 'The'
named entity 'aims'
named entity 'protein-protein interactions'
named entity 'PEPTIDES'
named entity 'PEPTIDES'
named entity 'IMMUNOLOGICAL'
named entity 'SPATIAL ORGANIZATION'
named entity 'OF INTEREST'
named entity 'BINDS'
named entity 'LINEAR'
named entity 'INTERFACE'
named entity 'APPLIED'
named entity 'DISCONTINUOUS'
named entity 'PREDICTING'
named entity 'ALLOWS'
named entity 'CONTEXT'
named entity 'SELECTED'
named entity 'EPITOPE MAPPING'
named entity 'SEQUENCES'
named entity 'MONOCLONAL ANTIBODY'
named entity 'AIMS'
named entity 'USED'
named entity 'VIEWING'
named entity 'THESE'
named entity 'VACCINE DEVELOPMENT'
named entity 'TERMS'
named entity 'INFER'
named entity 'INFORMATION'
named entity 'ANTIBODY'
named entity 'APPLICATIONS'
named entity 'ANTIGEN'
named entity 'IS A'
named entity 'IDENTIFYING'
named entity 'CENTRAL'
named entity 'EPITOPE'
named entity 'PROTEIN-PROTEIN INTERACTIONS'
named entity 'THREE-DIMENSIONAL'
named entity 'WEB'
named entity 'EPITOPES'
named entity 'KNOWN'
named entity 'ALGORITHMS'
named entity 'MIMICS'
named entity 'TOOL'
named entity 'DRUG DESIGN'
named entity 'BEYOND'
named entity 'BASED'
named entity 'EPITOPE MAPPING'
named entity 'INFERRING'
named entity 'SET'
named entity 'COMBINATION'
named entity 'STRUCTURE'
named entity 'DIFFERENT'
named entity 'SELECTED'
named entity 'PREDICTED'
named entity 'ALIGNING'
named entity 'SERVER'
named entity 'GENERAL'
named entity 'TYPES'
named entity 'PHYSICOCHEMICAL PROPERTIES'
named entity 'AFFINITY'
named entity 'RATIONALE'
named entity 'immunological'
named entity 'binds'
named entity 'set'
named entity 'drug design'
named entity 'computational methods'
named entity 'gap penalty'
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