Seoul National University · 情報科学
Professor Kunsoo Park's research lab specializes in high-performance computing and computational biology, focusing on the development of advanced algorithms and mathematical models for interpreting complex mass spectrometry data. The lab explores efficient parallel computing techniques, particularly leveraging GPU-accelerated architectures, to solve computationally intensive problems in bioinformatics and cryptography. Key research directions include isotopic pattern analysis in proteomics and high-speed implementation of cryptographic time-memory trade-off methods.
Figures are computed from collected data and may differ slightly.
Determining isotopic clusters and their monoisotopic masses is a first step in interpreting complex mass spectra generated by high-resolution mass spectrometers. We propose a mathematical model for isotopic distributions of polypeptides and an effective interpretation algorithm. Our model uses two types of ratios: intensity ratio of two adjacent peaks and intensity ratio product of three adjacent peaks in an isotopic distribution. These ratios can be approximated as simple functions of a polypep
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