This inventor holds 1 USPTO granted patent. Top assignee: Bioinformatics & Molecular Design Research Center. Active years: 2014.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2014
Title: The Innovative Work of Sung Kwang Lee in Predicting Activation Energy
Introduction: Sung Kwang Lee, an inventive mind based in Seoul, South Korea, has made significant strides in the field of biochemistry through his innovative methods. His research primarily focuses on the prediction of activation energy using atomic fingerprint descriptors, a breakthrough that enhances the understanding of metabolic processes.
Latest Patents: Sung Kwang Lee holds a patent for a method aimed at predicting activation energy via atomic fingerprint descriptors. This innovative method involves constructing a database of atomic fingerprint descriptors, calculating these descriptors for various substrates, and predicting activation energy specifically in cytochrome P450-mediated metabolism. The systematic approach includes selecting atomic positions critical for metabolism and utilizing effective atomic descriptors for accurate predictions.
Career Highlights: Currently, Sung Kwang Lee is associated with the Bioinformatics and Molecular Design Research Center, where he applies his expertise to explore complex biochemical interactions. His work is instrumental in tailoring predictive models that advance the understanding of enzyme activities in metabolic pathways.
Collaborations: Lee collaborates with notable colleagues such as Ky Youb Nam and Kyoung Tai No, contributing to a vibrant research environment that fosters innovation and development. Their joint efforts underline the importance of interdisciplinary collaboration in achieving groundbreaking scientific advancements.
Conclusion: Sung Kwang Lee's contributions to the field of biochemistry through his patent and collaborative efforts highlight the critical role of innovations in predicting biochemical processes. His work not only enhances scientific understanding but also paves the way for future applications in drug design and metabolic research.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile