Just, Inc.

Hampton Creek, Inc.

Nicolas Tilmans

Chuan Wang

Lee Heil Chae

Meng Xu

Michael Brzustowicz

Josh Stephen Tetrick

Matthew D Schultz

Systems and methods for assaying a test entity for a property, without measuring the property, are provided. Exemplary test entities include proteins, protein mixtures, and protein fragments. Measurements of first features in a respective subset of an N-dimensional space and of second features in a respective subset of an M-dimensional space, is obtained as training data for each reference in a plurality of reference entities. One or more of the second features is a metric for the target property. A subset of first features, or combinations thereof, is identified using feature selection. A model is trained on the subset of first features using the training data. Measurement values for the subset of first features for the test entity are applied to thereby obtaining a model value that is compared to model values obtained using measured values of the subset of first features from reference entities exhibiting the property.

Discovery systems for identifying entities that have a target property

Growing community of inventors

San Francisco, CA, United States of America

Nicolas Tilmans