<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>De Felice, Alessandra </dc:creator>
  <dc:creator>Aureli, Simone</dc:creator>
  <dc:creator>Limongelli, Vittorio</dc:creator>
  <dc:date>2021</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">G protein-coupled receptors (GPCRs) are the largest human membrane receptor family regulating a wide range of cell signaling. For this reason, GPCRs are highly desirable drug targets, with approximately 40% of prescribed medicines targeting a member of this receptor family. The structural homology of GPCRs and the broad spectrum of applications of GPCR-acting drugs suggest an investigation of the cross-activity of a drug toward different GPCR receptors with the aim of rationalizing drug side effects, designing more selective and less toxic compounds, and possibly proposing off-label therapeutic applications. Herein, we present an original in silico approach named “Computational Profiling for GPCRs” (CPG), which is able to represent, in a one-dimensional (1D) string, the physico-chemical properties of a ligand–GPCR binding interaction and, through a tailored alignment algorithm, repurpose the ligand for a different GPCR. We show three case studies where docking calculations and pharmacological data confirm the drug repurposing findings obtained through CPG on 5-hydroxytryptamine receptor 2B, beta-2 adrenergic receptor, and M2 muscarinic acetylcholine receptor. The CPG code is released as a user-friendly graphical user interface with numerous options that make CPG a powerful tool to assist the drug design of GPCR ligands.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://n2t.net/ark:/12658/srd1328323</dc:identifier>
  <dc:identifier>https://susi.usi.ch/global/documents/328323</dc:identifier>
  <dc:identifier>https://susi.usi.ch/documents/328323/files/De Felice_2021_fmolb.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.3389/fmolb.2021.673053  </dc:relation>
  <dc:relation>info:eu-repo/semantics/altIdentifier/ark/12658/srd1328323</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>CC BY</dc:rights>
  <dc:source>Frontiers in molecular biosciences  . - 2021, vol. 8, p. 673053</dc:source>
  <dc:subject>info:eu-repo/classification/udc/615</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Drug repurposing on G protein-coupled receptors using a computational profiling approach</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
