PhyteByte: identification of foods containing compounds with specific pharmacological properties.

ABSTRACT:

Background

Phytochemicals and other molecules in foods elicit positive health benefits, often by poorly established or unknown mechanisms. While there is a wealth of data on the biological and biophysical properties of drugs and therapeutic compounds, there is a notable lack of similar data for compounds commonly present in food. Computational methods for high-throughput identification of food compounds with specific biological effects, especially when accompanied by relevant food composition data, could enable more effective and more personalized dietary planning. We have created a machine learning-based tool (PhyteByte) to leverage existing pharmacological data to predict bioactivity across a comprehensive molecular database of foods and food compounds.

Results

PhyteByte u

SUBMITTER: Westerman KE 

PROVIDER: S-EPMC7288679 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature