Journal article Open Access

On the Integration of In Silico Drug Design Methods for Drug Repurposing

March-Vila, Eric; Pinzi, Luca; Sturm, Noé; Tinivella, Annachiara; Engkvist, Ola; Chen, Hongming; Rastelli, Giulio

Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>March-Vila, Eric</dc:creator>
  <dc:creator>Pinzi, Luca</dc:creator>
  <dc:creator>Sturm, Noé</dc:creator>
  <dc:creator>Tinivella, Annachiara</dc:creator>
  <dc:creator>Engkvist, Ola</dc:creator>
  <dc:creator>Chen, Hongming</dc:creator>
  <dc:creator>Rastelli, Giulio</dc:creator>
  <dc:description>Drug repurposing has become an important branch of drug discovery. Several computational approaches that help to uncover new repurposing opportunities and aid the discovery process have been put forward, or adapted from previous applications. A number of successful examples are now available. Overall, future developments will greatly benefit from integration of different methods, approaches and disciplines. Steps forward in this direction are expected to help to clarify, and therefore to rationally predict, new drug–target, target–disease, and ultimately drug–disease associations.</dc:description>
  <dc:subject>"Marie Sklodowska-Curie Actions",  bidrug repurposing, drug discovery, molecular modeling, chemogenomics, structure-based drug design, ligand-based drug design, machine learning, transcriptomics</dc:subject>
  <dc:title>On the Integration of In Silico Drug Design Methods for Drug Repurposing</dc:title>
Views 220
Downloads 108
Data volume 75.1 MB
Unique views 186
Unique downloads 104


Cite as