<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>Garofalo, Mariangela</dc:creator>
  <dc:creator>Grazioso, Giovanni</dc:creator>
  <dc:creator>Cavalli, Andrea</dc:creator>
  <dc:creator>Sgrignani, Jacopo</dc:creator>
  <dc:date>2020-04-10</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">The early and late development of new anticancer drugs, small molecules or peptides can be slowed down by some  issues such as poor selectivity for the target or poor ADME properties. Computer-aided drug design (CADD) and target  drug delivery (TDD) techniques, although apparently far from each other, are two research fields that can give a  significant contribution to overcome these problems. Their combination may provide mechanistic understanding resulting  in a synergy that makes possible the rational design of novel anticancer based therapies. Herein, we aim to discuss  selected applications, some also from our research experience, in the fields of anticancer small organic drugs and  peptides.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://susi.usi.ch/global/documents/319015</dc:identifier>
  <dc:identifier>https://n2t.net/ark:/12658/srd1319015</dc:identifier>
  <dc:identifier>https://susi.usi.ch/documents/319015/files/Cavalli_molecules_2020.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.3390/molecules25071756</dc:relation>
  <dc:relation>info:eu-repo/semantics/altIdentifier/ark/12658/srd1319015</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>CC BY</dc:rights>
  <dc:source>Molecules. - 2020, vol. 25, no. 7, p. 22 p</dc:source>
  <dc:subject xmlns:ns1="xml" ns1:lang="en">Drug delivery</dc:subject>
  <dc:subject xmlns:ns2="xml" ns2:lang="en">Computational chemistry</dc:subject>
  <dc:subject xmlns:ns3="xml" ns3:lang="en">Anticancer drug design</dc:subject>
  <dc:subject>info:eu-repo/classification/udc/615</dc:subject>
  <dc:title xmlns:ns4="xml" ns4:lang="en">How computational chemistry and drug delivery techniques can support the development of new anticancer drugs</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
