Speaker: Yu Li PhD(King Abdullah University of Science & Technology (KAUST) ) Abstract:Proteins ar

Time: 12:30-13:30, Oct. 12,2019

Venue: Library 111 lecture hall

Towards understanding protein functions through deep learning

Date:12:30-13:30, Oct. 12,2019
Venue: Library 111 lecture hall
Speaker: Yu Li PhD(King Abdullah University of Science & Technology (KAUST) )



Proteins are one of the most important biomolecules, which perform various functions within organisms. Understanding protein functions is an indispensable part of biological researches. In this talk, I will focus on studying the functions of two important kinds of proteins: enzymes, which catalyze chemical functions within organisms, and RNA binding proteins (RBP), which regulate translation. As for enzymes, I will introduce our work in developing novel methods, based on deep learning, to predict enzyme functions by annotating EC numbers utilizing only sequence information. In terms of RBP, I will discuss our recent work of developing a deep learning framework to predict binding preference of RNA constituents on protein surface, whose predictions have been verified by both in vitro and in vivo experiments, including RNAcompete, Immunoprecipitation, and siRNA Knockdown.


Personal introduction

Yu Li is a PhD student of KAUST, majoring in Computer Science (CS), under the supervision of Prof. Xin Gao. He is a member of Computational Bioscience Research Center (CBRC) at KAUST. His main research interest is developing novel computational methods and algorithms, mainly deep learning methods, for solving biological problems and understanding the principles behind the bio-world. He obtained MS degree in CS from KAUST at 2016. Before that, he got the Bachelor degree in Biosciences from University of Science and Technology of China (USTC).

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