The recent and extraordinary increase in computer power, along with the availability of efficient algorithms based on artificial intelligence, has prompted a large number of inexperienced scientists to challenge the complex and yet competitive world of drug discovery, by pretending to identify new hits through the sole use of computer aided drug design (CADD). Does the golden era of dry data run the risk of overshadowing the importance of wet data and, in doing so, forget that in silico and biological data need each other in successful preclinical drug discovery programmes?

Drug discovery: In silico dry data can bypass biological wet data? / Tognolini, Massimiliano; Lodola, Alessio; Giorgio, Carmine. - In: BRITISH JOURNAL OF PHARMACOLOGY. - ISSN 1476-5381. - (2023). [10.1111/bph.16266]

Drug discovery: In silico dry data can bypass biological wet data?

Tognolini, Massimiliano
;
Lodola, Alessio;Giorgio, Carmine
2023-01-01

Abstract

The recent and extraordinary increase in computer power, along with the availability of efficient algorithms based on artificial intelligence, has prompted a large number of inexperienced scientists to challenge the complex and yet competitive world of drug discovery, by pretending to identify new hits through the sole use of computer aided drug design (CADD). Does the golden era of dry data run the risk of overshadowing the importance of wet data and, in doing so, forget that in silico and biological data need each other in successful preclinical drug discovery programmes?
2023
Drug discovery: In silico dry data can bypass biological wet data? / Tognolini, Massimiliano; Lodola, Alessio; Giorgio, Carmine. - In: BRITISH JOURNAL OF PHARMACOLOGY. - ISSN 1476-5381. - (2023). [10.1111/bph.16266]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2965576
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