Platforms, systems, and methods for genetic generalization expression languages

A method for predicting performance associated with genetic edits, the method comprising:

• receiving, by a platform, information about a biologic product, wherein the information includes a description of at least a portion of the biologic product in an expression language;
• generating, by the platform, a set of edits of the biologic product based on the description the at least a portion of the biologic product in the expression language;
• and
• generating, by the platform, a performance prediction for each edit of the set of edits of the biologic product based on a pre-trained genetic generalization model applied to each edit of the set of edits, wherein the pre-trained genetic generalization model is trained using a two-step process including, pre-training the genetic generalization model using a set of training data, and fine-tuning the genetic generalization model using additional strain-specific data, wherein the set of training data is a larger data set compared to the strain-specific data.