DESIGNING BIOMOLECULE SEQUENCE VARIANTS WITH PRE-SPECIFIED ATTRIBUTES

A computing system includes a processor and a memory having stored thereon a trained machine-learned model and instructions that, when executed by the one or more processors, cause the computing system to process a biomolecule sequence variant to predict binding characteristics, identify biomolecule sequence variants of interest; and provide the biomolecule sequence variants of interest as output. A computer-implemented method for training a machine learning model to identify biomolecule sequence variants of interest includes generating biomolecule sequence variants, receiving screening data; and training the machine learning model to predict binding characteristics of an input biomolecule sequence variant. A computing system includes a processor; and a non-transitory computer-readable media having stored thereon a machine-learned model trained using training data and instructions that, when executed by the one or more processors, cause the computing system to: process one or more input biomolecule sequence variants; and provide a predicted naturalness characteristics as output.