Pattern Recognition-AI and NMR aided HOS analysis of Biological drugs

Biosimilar refers to the biological drug that is highly similar to the available marketed drug such that there are no clinically meaningful differences in terms of safety, purity, and potency of the product. These drugs can only enter the market after completing the patent duration of the licensed first-generation drugs. As per stringent regulatory requirements, biosimilar products must match closely to all attributes of the marketed products, including establishing similarity of higher-order structures. We aim to develop chemometric approaches for quantitative assessment of biosimilarity by combining higher-order-structural data obtained from NMR spectroscopy and computation approaches such as pattern recognition and artificial intelligence Networks to establish comparability of critical quality attributes of biological drugs. The outcome of this project will be a robust AI-based model that will use pattern recognition and the image hashing concept of complex NMR spectra to provide a similarity score.

Faculty associated

Prof. Ashutosh Kumar, Professor, Department of Biosciences and Bioengineering, IIT Bombay