We are analyzing https://link.springer.com/protocol/10.1007/978-1-60327-118-9_13.

Title:
Prediction of Peptide-MHC Binding Using Profiles | SpringerLink
Description:
Prediction of peptide binding to major histocompatibility complex (MHC) molecules is a basis for anticipating T-cell epitopes. Peptides that bind to a given MHC molecule are related by sequence similarity. Therefore, a position-specific scoring matrix...
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

Education
Books & Literature
Crafts

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month

Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush

How Does Link.springer.com Make Money? {💸}

We find it hard to spot revenue streams.

Not all websites focus on profit; some are designed to educate, connect people, or share useful tools. People create websites for numerous reasons. And this could be one such example. Link.springer.com might be cashing in, but we can't detect the method they're using.

Keywords {🔍}

google, scholar, pubmed, article, cas, binding, mhc, peptide, prediction, class, molecules, peptides, henikoff, immunol, peptidemhc, sequence, reinherz, protocol, reche, methods, mol, database, protein, flower, bioinformatics, biol, privacy, cookies, content, information, publish, histocompatibility, complex, epitopes, structural, cell, appl, sette, analysis, data, search, immunoinformatics, major, basis, molecule, positionspecific, chapter, proteins, wiley, structure,

Topics {✒️}

month download article/chapter position-specific scoring matrix dana-farber cancer institute position-specific gap penalties position-based sequence weights anticipating t-cell epitopes major histocompatibility complex privacy choices/manage cookies distantly related proteins lymphocyte epitopes based device instant download t-cell epitopes structure based algorithm covalently stabilized complex structure-based prediction humana press annu rev immunol17 annu rev immunol13 mhc-binding peptides amino acid polymorphisms peptide amino acid viral peptides presented journal finder publish antigen peptide binding peptide binding specificity hydrophobic binding pockets nucleic acid sequences peptide-mhc binding peptide–mhc binding protocol immunoinformatics pedro european economic area curr opin immunol9 secondary anchor residues customized computational vaccinology nucleic acids res2 influenza ha peptide nucleic acids res26 nucleic acids res30 peptide–mhc binders peptide–mhc interaction mhc-peptide complexes peptide-mhc complexes independent binding assumption comput appl biosci13 comput appl biosci12 comput appl biosci10 conditions privacy policy apparently independent subspecificities harvard medical school peptide binding motifs

Schema {🗺️}

ScholarlyArticle:
      headline:Prediction of Peptide-MHC Binding Using Profiles
      pageEnd:200
      pageStart:185
      image:https://media.springernature.com/w153/springer-static/cover/book/978-1-60327-118-9.jpg
      genre:
         Springer Protocols
      isPartOf:
         name:Immunoinformatics
         isbn:
            978-1-60327-118-9
            978-1-58829-699-3
         type:Book
      publisher:
         name:Humana Press
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Pedro A. Reche
            affiliation:
                  name:Harvard Medical School
                  address:
                     name:Laboratory of Immunobiology and Department of Medical Oncology, Dana-Farber Cancer Institute; and Department of Medicine, Harvard Medical School, Boston
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Ellis L. Reinherz
            affiliation:
                  name:Dana-Farber Cancer Institute, Harvard Medical School
                  address:
                     name:Dana-Farber Cancer Institute, Harvard Medical School, Boston
                     type:PostalAddress
                  type:Organization
            type:Person
      keywords:PSSM, MHC, binding, epitopes, profile, prediction
      description:Prediction of peptide binding to major histocompatibility complex (MHC) molecules is a basis for anticipating T-cell epitopes. Peptides that bind to a given MHC molecule are related by sequence similarity. Therefore, a position-specific scoring matrix (PSSM)—also known as profile—derived from a set of aligned peptides known to bind to a given MHC molecule can be used as a predictor of both peptide–MHC binding and T-cell epitopes. In this approach, the binding potential of any peptide sequence (query) to the MHC molecule is determined by its similarity to a set of known peptide–MHC binders and can be obtained by comparing the query to the PSSM. Following structural considerations of the peptide–MHC interaction, we will describe here how to derive alignments and PSSMs that are suitable for the prediction of peptide–MHC binding.
      datePublished:2007
      isAccessibleForFree:
      hasPart:
         isAccessibleForFree:
         cssSelector:.main-content
         type:WebPageElement
      context:https://schema.org
Book:
      name:Immunoinformatics
      isbn:
         978-1-60327-118-9
         978-1-58829-699-3
Organization:
      name:Humana Press
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:Harvard Medical School
      address:
         name:Laboratory of Immunobiology and Department of Medical Oncology, Dana-Farber Cancer Institute; and Department of Medicine, Harvard Medical School, Boston
         type:PostalAddress
      name:Dana-Farber Cancer Institute, Harvard Medical School
      address:
         name:Dana-Farber Cancer Institute, Harvard Medical School, Boston
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Pedro A. Reche
      affiliation:
            name:Harvard Medical School
            address:
               name:Laboratory of Immunobiology and Department of Medical Oncology, Dana-Farber Cancer Institute; and Department of Medicine, Harvard Medical School, Boston
               type:PostalAddress
            type:Organization
      name:Ellis L. Reinherz
      affiliation:
            name:Dana-Farber Cancer Institute, Harvard Medical School
            address:
               name:Dana-Farber Cancer Institute, Harvard Medical School, Boston
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Laboratory of Immunobiology and Department of Medical Oncology, Dana-Farber Cancer Institute; and Department of Medicine, Harvard Medical School, Boston
      name:Dana-Farber Cancer Institute, Harvard Medical School, Boston
WebPageElement:
      isAccessibleForFree:
      cssSelector:.main-content

External Links {🔗}(156)

Analytics and Tracking {📊}

Google Tag Manager

Libraries {📚}

Clipboard.js

CDN Services {📦}

Pbgrd

5.13s.

LINK . SPRINGER . COM {}