ICDMO's AI-driven platform delivers comprehensive protein interaction forecasting and binding site evaluation with confidence metrics to guide downstream experimental work. The service assesses protein–antibody affinity, protein–protein interactions, enzyme–substrate binding, and protein–nucleic acid interactions — providing confidence scores that narrow the pool of candidates before committing to expensive experiments. Fully automated processes eliminate reagent expenses and deliver rapid results with optional downstream yeast validation to confirm computational predictions.
For predicted binding sites, ICDMO identifies candidate binding site amino acid sequences from protein coding nucleic acids. Each candidate site undergoes alanine mutation (alanine scanning), followed by yeast two-hybrid verification to confirm or refute the computational prediction. This orthogonal validation approach provides high-confidence experimental support for AI-predicted interaction interfaces — enabling confident reporting in publications and drug design programs.
Note: All services are for research use only and not intended for diagnostic or therapeutic purposes.
Our scientific team responds within 24 hours with a detailed technical proposal and pricing tailored to your research goals.
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