Individual and collective human intelligence in drug design: evaluating the search strategy
| Autor: | Simone Masoni, Jascha Blobel, Giovanni Cincilla |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Artificial intelligence
Human intelligence Drug discovery Process (engineering) Computer science Macromolecular crystallography Collective intelligence Hit to lead Information technology Library and Information Sciences T58.5-58.64 Computer Graphics and Computer-Aided Design Data science Chemical space Computer Science Applications Task (project management) Chemistry De novo drug design Chemical space exploration Physical and Theoretical Chemistry QD1-999 Research Article |
| Zdroj: | Journal of Cheminformatics Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-16 (2021) |
| ISSN: | 1758-2946 |
| Popis: | In recent years, individual and collective human intelligence, defined as the knowledge, skills, reasoning and intuition of individuals and groups, have been used in combination with computer algorithms to solve complex scientific problems. Such approach was successfully used in different research fields such as: structural biology, comparative genomics, macromolecular crystallography and RNA design. Herein we describe an attempt to use a similar approach in small-molecule drug discovery, specifically to drive search strategies of de novo drug design. This is assessed with a case study that consists of a series of public experiments in which participants had to explore the huge chemical space in silico to find predefined compounds by designing molecules and analyzing the score associate with them. Such a process may be seen as an instantaneous surrogate of the classical design-make-test cycles carried out by medicinal chemists during the drug discovery hit to lead phase but not hindered by long synthesis and testing times. We present first findings on (1) assessing human intelligence in chemical space exploration, (2) comparing individual and collective human intelligence performance in this task and (3) contrasting some human and artificial intelligence achievements in de novo drug design. Supplementary Information The online version contains supplementary material available at 10.1186/s13321-021-00556-6. |
| Databáze: | OpenAIRE |
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