Abstract:
:The use and utility of computational models in drug development has significantly grown in the last decades, fostered by the availability of high throughput datasets and new data analysis strategies. These in silico approaches are demonstrating their ability to generate reliable predictions as well as new knowledge on the mode of action of drugs and the mechanisms underlying their side effects, altogether helping to reduce the costs of drug development. The aim of this review is to provide a panorama of developments in the field in the last two years.
journal_name
Curr Opin Pharmacoljournal_title
Current opinion in pharmacologyauthors
Piñero J,Furlong LI,Sanz Fdoi
10.1016/j.coph.2018.08.007subject
Has Abstractpub_date
2018-10-01 00:00:00pages
111-121eissn
1471-4892issn
1471-4973pii
S1471-4892(17)30212-6journal_volume
42pub_type
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journal_title:Current opinion in pharmacology
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journal_title:Current opinion in pharmacology
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journal_title:Current opinion in pharmacology
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journal_title:Current opinion in pharmacology
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journal_title:Current opinion in pharmacology
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journal_title:Current opinion in pharmacology
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