Ontology highlight
ABSTRACT:
SUBMITTER: Keller A
PROVIDER: S-EPMC5455768 | biostudies-literature | 2017 Feb
REPOSITORIES: biostudies-literature
Science (New York, N.Y.) 20170220 6327
It is still not possible to predict whether a given molecule will have a perceived odor or what olfactory percept it will produce. We therefore organized the crowd-sourced DREAM Olfaction Prediction Challenge. Using a large olfactory psychophysical data set, teams developed machine-learning algorithms to predict sensory attributes of molecules based on their chemoinformatic features. The resulting models accurately predicted odor intensity and pleasantness and also successfully predicted 8 among ...[more]