Tianzhu Guan- Biological Networks
Dr. Tianzhu Guan distinguished academic and researcher in the field Biological Network.Β Tianzhu Guan a recipient of the 2020 Excellent PhD in the “Green and Golden Phoenix Plan” in Yangzhou City, specializes in the development of nutritional foods with dual applications in medicine and nutrition. His expertise lies at the intersection of cutting-edge scientific disciplines, where he seamlessly integrates Network Science and Graph Analytics into his research. Driven by a passion for advancing food safety, he has a keen focus on the recognition and detection of food hazard factors.
In his groundbreaking work , Tianzhu Guan employs a multifaceted approach, combining molecular techniques such as Molecular Docking, Molecular Dynamic Simulation, and Quantum Chemical Calculation. These methodologies enable him to delve into the intricate molecular interactions within food components, paving the way for innovative solutions in the development of nutritionally enriched foods.
Beyond his computational prowess, He is well-versed in experimental techniques, including Molecular Biology, Western-Blot, and SDS-Page. This dual proficiency empowers him to bridge the gap between theoretical predictions and practical applications, ensuring a comprehensive understanding of the complex relationships between food and medicine.
He is a visionary researcher who not only excels in the theoretical realms of his field but also possesses the practical skills necessary for translating his findings into tangible advancements. His holistic approach to scientific inquiry positions him as a trailblazer in the realm of nutrition and food safety.
Research Awards
He has garnered significant recognition for his impactful contributions to the field, exemplified by the prestigious Jilin Province Science and Technology Awards. In 2022, he received the second prize in the Natural Science category for his outstanding work on the Mechanism Study of Small Molecule Disruptors in Regulating Estrogen Receptors, demonstrating a keen understanding of the intricate molecular processes involved. Prior to this achievement, in 2020, he secured another second prize in the Natural Science category for his research titled Evaluation of endocrine disrupting effects and residual detection of typical persistent organic pollutants based on receptor recognition. His consistent success in earning accolades underscores his expertise and dedication to advancing scientific knowledge in the domain of endocrine disruption and receptor recognition, further solidifying his position as a distinguished contributor to the field of science and technology.
Funding
β« Natural Science Fund for Colleges and Universities in Jiangsu Province of China
(Grant No. 20KJB550002)
β« National Youth Talent Sup- port Program of the China Association for Science
and Technology (Grant No. 20220615ZZ07110388)
β« Natural Science Foundation of Jiangsu Province, China (Grant No.
BK20200954)
β« Laboratory of Xinjiang Native Medicinal and Edible Plant Resources Chemistry,
Kashi University (Grant No. KSUZDSYS202305) Skills
Publication