Exploration of Ultralarge Compound Collections for Drug Discovery.
DNA-encoded libraries
autonomous laboratory
chemical space
de novo drug design
drug design
fragment-based drug design
generative models
navigating chemical space
review
structure search
ultralarge libraries
Journal
Journal of chemical information and modeling
ISSN: 1549-960X
Titre abrégé: J Chem Inf Model
Pays: United States
ID NLM: 101230060
Informations de publication
Date de publication:
09 05 2022
09 05 2022
Historique:
pubmed:
15
4
2022
medline:
11
5
2022
entrez:
14
4
2022
Statut:
ppublish
Résumé
Designing new medicines more cheaply and quickly is tightly linked to the quest of exploring chemical space more widely and efficiently. Chemical space is monumentally large, but recent advances in computer software and hardware have enabled researchers to navigate virtual chemical spaces containing billions of chemical structures. This review specifically concerns collections of many millions or even billions of enumerated chemical structures as well as even larger chemical spaces that are not fully enumerated. We present examples of chemical libraries and spaces and the means used to construct them, and we discuss new technologies for searching huge libraries and for searching combinatorially in chemical space. We also cover space navigation techniques and consider new approaches to
Identifiants
pubmed: 35421301
doi: 10.1021/acs.jcim.2c00224
doi:
Substances chimiques
Small Molecule Libraries
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM