Abstract: A system for designing vaccines includes one or more processors, and computer storage storing executable computer instructions in which, when executed by the one or more processers, cause the one or more processors to perform one or more operations. The one or more operations include applying, to a first temporal sequence data set, a plurality of driver models configured to generate output data representing one or more molecular sequences. The one or more operations include, for each of the plurality of driver models, training the driver model. The one or more operations include selecting, based on one or more trained translational responses, a set of trained driver models of the plurality of driver models. The one or more operations include selecting, based on second translational response data, a subset of trained driver models of the set of trained driver models.

Abstract: Systems and methods can apply machine learning techniques to predict biological responses. One of the methods is performed by at least one processor executing executable logic including at least one machine learning model trained to predict biological responses. The method includes receiving first sequence data of a first molecular sequence, receiving second sequence data of a second molecular sequence, and predicting a biological response for the second molecular sequence based at least partly on the received first and second sequence data.