Ontology highlight
ABSTRACT:
SUBMITTER: Lavigne C
PROVIDER: S-EPMC9710306 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature

Chemical science 20221110 46
Computational power and quantum chemical methods have improved immensely since computers were first applied to the study of reactivity, but the <i>de novo</i> prediction of chemical reactions has remained challenging. We show that complex reaction pathways can be efficiently predicted in a guided manner using chemical activation imposed by geometrical constraints of specific reactive modes, which we term imposed activation (IACTA). Our approach is demonstrated on realistic and challenging chemis ...[more]