Artificial intelligence deciphers codes for color and odor perceptions based on large-scale chemoinformatic data.

ABSTRACT:

Background

Color vision is the ability to detect, distinguish, and analyze the wavelength distributions of light independent of the total intensity. It mediates the interaction between an organism and its environment from multiple important aspects. However, the physicochemical basis of color coding has not been explored completely, and how color perception is integrated with other sensory input, typically odor, is unclear.

Results

Here, we developed an artificial intelligence platform to train algorithms for distinguishing color and odor based on the large-scale physicochemical features of 1,267 and 598 structurally diverse molecules, respectively. The predictive accuracies achieved using the random forest and deep belief network for the prediction of color were 100% and 95

SUBMITTER: Zhang X 

PROVIDER: S-EPMC7043059 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature