TY - JOUR
KW - Animals
KW - Computer Simulation
KW - Drug Discovery
KW - High-Throughput Screening Assays
KW - Humans
AU - Janet Piñero
AU - Laura I. Furlong
AU - Ferran Sanz
AB - 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.
BT - Current Opinion in Pharmacology
DA - 2018-10
DO - 10.1016/j.coph.2018.08.007
LA - eng
N2 - 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.
PY - 2018
SP - 111
EP - 121
ST - In silico models in drug development
T2 - Current Opinion in Pharmacology
TI - In silico models in drug development: where we are
VL - 42
SN - 1471-4973
ER -