Speaker: Dr. Xiaohan LI
Institution: Investigator Scientist, MRC Laboratory of Molecular Biology (LMB), University of Cambridge
Hosted by: Professor Jinqing HUANG
Abstract
The classical structure-function paradigm states that a protein needs to adopt a specific secondary and higher-order structure for biological function. However, recent advances suggest that over 40% of cellular functions are mediated by intrinsically disordered proteins/regions (IDPs/IDRs) that lack stable secondary or higher order structure under physiological conditions. Therefore, they have been termed “the dark proteome”. The awareness of the dark proteome expands the traditional paradigm to a new disorder-function paradigm, where intrinsic protein disorder plays a key role in mediating biological functions. Here, we combine biophysical techniques with bioinformatics analysis to get insight into the disorder-function paradigm of the dark proteome. With both experimental and computational efforts, we aim to elucidate functional mechanisms of IDPs from its primary sequence, to understand its role in both physiology and pathology.
About the speaker
Dr. Xiaohan Li received his BS in chemistry from Peking University in 2012. He then went to Yale University and got his PhD majoring biophysical chemistry in 2017, studying intrinsically disordered protein using single-molecule fluorescence techniques. He then went to MRC Laboratory of Molecular Biology (LMB) in Cambridge, UK, to work with Dr. M. Madan Babu on intrinsically disordered proteins, combining experimental approaches with bioinformatics. Xiaohan’s research interest focuses on understanding the functional mechanisms of intrinsically disordered proteins (IDPs). As an early-career scientist, he received Marie-Curie individual fellowship in 2019 and is currently an investigator scientist at the LMB. He has top-notch publications in journals such as Science, Cell, and Journal of the American Chemical Society.
Institution: Investigator Scientist, MRC Laboratory of Molecular Biology (LMB), University of Cambridge
Hosted by: Professor Jinqing HUANG
Abstract
The classical structure-function paradigm states that a protein needs to adopt a specific secondary and higher-order structure for biological function. However, recent advances suggest that over 40% of cellular functions are mediated by intrinsically disordered proteins/regions (IDPs/IDRs) that lack stable secondary or higher order structure under physiological conditions. Therefore, they have been termed “the dark proteome”. The awareness of the dark proteome expands the traditional paradigm to a new disorder-function paradigm, where intrinsic protein disorder plays a key role in mediating biological functions. Here, we combine biophysical techniques with bioinformatics analysis to get insight into the disorder-function paradigm of the dark proteome. With both experimental and computational efforts, we aim to elucidate functional mechanisms of IDPs from its primary sequence, to understand its role in both physiology and pathology.
About the speaker
Dr. Xiaohan Li received his BS in chemistry from Peking University in 2012. He then went to Yale University and got his PhD majoring biophysical chemistry in 2017, studying intrinsically disordered protein using single-molecule fluorescence techniques. He then went to MRC Laboratory of Molecular Biology (LMB) in Cambridge, UK, to work with Dr. M. Madan Babu on intrinsically disordered proteins, combining experimental approaches with bioinformatics. Xiaohan’s research interest focuses on understanding the functional mechanisms of intrinsically disordered proteins (IDPs). As an early-career scientist, he received Marie-Curie individual fellowship in 2019 and is currently an investigator scientist at the LMB. He has top-notch publications in journals such as Science, Cell, and Journal of the American Chemical Society.
8月2日
3:00pm - 4:00pm
地点
Room 4503, 4/F (Lifts 25/26), Academic Building, HKUST
讲者/表演者
主办单位
Department of Chemistry
联系方法
chivy@ust.hk
付款详情
对象
PG Students, Faculty and Staff
语言
英语
其他活动
11月22日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Leveraging Protein Dynamics Memory with Machine Learning to Advance Drug Design: From Antibiotics to Targeted Protein Degradation
Abstract
Protein dynamics are fundamental to protein function and encode complex biomolecular mechanisms. Although Markov state models have made it possible to capture long-timescale protein co...
11月8日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Some Theorems in the Representation Theory of Classical Lie Groups
Abstract
After introducing some basic notions in the representation theory of classical Lie groups, the speaker will explain three results in this theory: the multiplicity one theorem for classical...