AI Model Library
IH SYNPIC AI Models
Specialized AI models for Pichia pastoris research — from gene expression prediction to fermentation optimization. Built on curated biological data.
Gene Expression Predictor
Predicts recombinant protein expression levels in Pichia pastoris based on codon usage, promoter strength, and fermentation parameters.
Codon Optimizer
Optimizes codon usage for maximum expression in Pichia pastoris, balancing codon adaptation index with mRNA stability.
Protein Structure Predictor
Predicts 3D protein structure from amino acid sequence, fine-tuned on Pichia pastoris-expressed proteins with post-translational modifications.
Fermentation Simulator
Simulates fed-batch fermentation curves for Pichia pastoris, predicting cell density, methanol consumption, and protein yield over time.
Promoter Designer
Designs synthetic promoters with tunable strength for Pichia pastoris, using deep learning trained on characterized regulatory sequences.
Signal Peptide Selector
Selects and designs optimal signal peptides for secretory expression in Pichia pastoris, maximizing protein secretion efficiency.
Want to use AI models?
Access available models through the Data Explorer, or contact us for API integration.