13.58.211.135=13.58
https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=Martina+Di+Mario%5Bauthor%5D&datetype=edat&usehistory=y&retmax=1&tool=RemsenMedia&email=hello@remsenmedia.com&api_key=81853a771c3a3a2c6b2553a65bc33b056f0813.58.211.135=13.58
https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&WebEnv=MCID_67957a7b95e3f58869055e5e&query_key=1&retmode=xml&retstart=-10&retmax=25&tool=RemsenMedia&email=hello@remsenmedia.com&api_key=81853a771c3a3a2c6b2553a65bc33b056f08
The increasing use of information technology in the discovery of new molecular entities encourages the use of modern molecular-modeling tools to help teach important concepts of drug design to chemistry and pharmacy undergraduate students. In particular, statistical models such as quantitative structure-activity relationships (QSAR)-often as its 3D QSAR variant-are commonly used in the development and optimization of a leading compound. We describe how these drug discovery methods can be taught and learned by means of free and open-source web applications, specifically the online platform www.
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