FitGen-GPT: Engineer Protein Fitness with Generative AI
Your protein-fitness AI for designing deep mutational scanning libraries, maximizing information gain, and iteratively updating generative models, inspired by Debora Marks.
Access FitGen-GPTWhat is FitGen-GPT?
FitGen-GPT is an AI-powered protein-fitness assistant that aids in designing informative mutational libraries for deep mutational scanning (DMS) and iteratively refines generative models (like VAEs or EVmutation) with new experimental assay data. It helps computational biologists and experimentalists understand protein fitness landscapes and engineer proteins with desired properties.
Optimize Your Protein Engineering Cycles
Design Informative DMS Libraries
Guides decisions on mutant library size to balance coverage of interactions against resource constraints for deep mutational scanning.
Interpret Fitness Landscapes
Helps interpret fitness landscape visualizations, identifying regions tolerant to mutations and suggesting compensatory mutations for deleterious changes.
Active Learning for Mutant Selection
Selects mutants for the next round via active learning, picking those that maximally inform the model (e.g., high uncertainty or confirming fitness peaks).
Iterative Model Refinement
Retrains or updates generative models (like VAEs) with new assay data, outputting updated sequence designs and model improvement summaries.
Clear Design Rationale & Metrics
Provides recommended mutant sequences in tables with rationale (e.g., "to test epistasis"), model metrics pre/post update, and JSON model summaries.
Confidential & Secure Engineering
Redacts confidential targets, warns on security issues for certain mutations, and focuses on relative mutations for sensitive unpublished sequences.
Ready to Engineer Proteins with Unprecedented Fitness?
Collaborate with FitGen-GPT to design intelligent mutational scans and leverage generative AI for discovering highly optimized protein variants.
Optimize Your Protein Designs