Computation-Driven Protein Engineering
We use AI computational methods to predict protein 3D structures and functions, providing efficient and precise computational solutions for protein engineering and drug discovery.
Tilapia NPYa and Receptor Protein Complex
Tilapia NPYa–Receptor Complex Prediction
Computational prediction of the complex between tilapia NPYa and the Y-series receptors, including comparison of experimental and predicted structures.
Asparaginase Single Mutant Library
Asparaginase Single Mutant Library
A collection of 3D structures of asparaginase single-point mutants computed by AlphaFold3/Protenix methods, totaling 318 predicted structures. Slider browsing mode, randomly displayed.
Asparaginase Optimized Mutants and mRNA
5 Optimized Mutants with mRNA Design
Computational optimization results of 5 optimized asparaginase single-point mutants, including structure prediction, stability assessment, and three-spec mRNA construct design.
Asparaginase Gene CRISPR Editing Plan
CRISPR gRNA Design for Asparaginase
Whole-genome CRISPR editing plan for the asparaginase coding gene, with multi-Cas variant gRNA design and off-target assessment.
Asparaginase mRNA Construct Design
mRNA Construct Design for Asparaginase Mutants
Three-spec mRNA constructs for 5 mutants, including host-specific codon optimization and untranslated region design.
Prediction results are for reference only. For computational needs, contact DiVo Gen2 AI!