<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Pedotti, Mattia</dc:creator>
  <dc:creator>Simonelli, Luca</dc:creator>
  <dc:creator>Livoti, Elsa</dc:creator>
  <dc:creator>Varani, Luca</dc:creator>
  <dc:date>2011-01-05</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Antibodies play an increasingly important role in both basic research and the  pharmaceutical industry. Since their efficiency depends, in ultimate analysis, on their  atomic interactions with an antigen, studying such interactions is important to understand  how they function and, in the long run, to design new molecules with desired properties.  Computational docking, the process of predicting the conformation of a complex from its  separated components, is emerging as a fast and affordable technique for the structural  characterization of antibody-antigen complexes. In this manuscript, we first describe the  different computational strategies for the modeling of antibodies and docking of their  complexes, and then predict the binding of two antibodies to the stalk region of influenza  hemagglutinin, an important pharmaceutical target. The purpose is two-fold: on a general  note, we want to illustrate the advantages and pitfalls of computational docking with a  practical example, using different approaches and comparing the results to known  experimental structures. On a more specific note, we want to assess if docking can be  successful in characterizing the binding to the same influenza epitope of other antibodies  with unknown structure, which has practical relevance for pharmaceutical and biological  research. The paper clearly shows that some of the computational docking predictions  can be very accurate, but the algorithm often fails to discriminate them from inaccurate  solutions. It is of paramount importance, therefore, to use rapidly obtained experimental  data to validate the computational results.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://localhost:5000/ark:/12658/srd1318970</dc:identifier>
  <dc:identifier>https://susi.usi.ch/global/documents/318970</dc:identifier>
  <dc:identifier>https://susi.usi.ch/documents/318970/files/pedotti_ijms_2011.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.3390/ijms12010226</dc:relation>
  <dc:relation>info:eu-repo/semantics/altIdentifier/ark/12658/srd1318970</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>CC BY</dc:rights>
  <dc:source>International journal of molecular sciences. - 2011, vol. 12, no. 1, p. 226-251</dc:source>
  <dc:subject xmlns:ns1="xml" ns1:lang="en">Antibody modeling</dc:subject>
  <dc:subject xmlns:ns2="xml" ns2:lang="en">Computational docking</dc:subject>
  <dc:subject xmlns:ns3="xml" ns3:lang="en">Influenza</dc:subject>
  <dc:subject xmlns:ns4="xml" ns4:lang="en">Hemagglutinin</dc:subject>
  <dc:subject xmlns:ns5="xml" ns5:lang="en">Antibody-antigen complexes</dc:subject>
  <dc:subject>info:eu-repo/classification/udc/61</dc:subject>
  <dc:title xmlns:ns6="xml" ns6:lang="en">Computational docking of antibody-antigen complexes, opportunities and pitfalls illustrated by influenza hemagglutinin</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
