Topic: Decoding
Biological Language in Membrane Proteins:
Combining Protein Language Model Embeddings with Multi-Window Scanning
Deep Learning for Functional Identification
Speaker: Yu-Yen Ou Prof. of Dept. of Computer Science and Engineering,Yzu University
Time: 2024/09/24(Tue) 14:00-16:00
Venue: The Management Building, 11F,
Chang Gung University, AI Lecture Hall
Join Online: https://gqr.sh/awHN
About the Speaker:
Yu-Yen Ou earned his Ph.D. in Computer
Science from National Taiwan University in 2005 and is currently a professor in
the Department of Computer Science and Engineering at Yuan Ze University. His
research interests include machine learning and bioinformatics, particularly
focusing on protein sequence function prediction and identification. Since
2016, he has pioneered the integration of deep learning and natural language
processing in membrane protein sequence analysis.
Professor Ou has received the 21st
Outstanding Professor Award from the Far Eastern Y. Z. Hsu Science and
Technology Memorial Foundation and several research grants from Taiwan's
Ministry of Science and Technology.
Abstract:
This presentation will explore the
integration of protein language pre-training models with multi-window scanning
deep learning techniques to decode and analyze the biological language embedded
within membrane protein sequences. We will first utilize protein language
models such as ProtTrans or ESM-2 to transform protein sequences into
high-dimensional vector embeddings, capturing the intricate biological language
within these sequences. Following this, we will employ multi-window
convolutional neural networks (MCNN) to extract features across various scales,
enabling the identification of membrane protein functions based on these
language features. This innovative approach, combining language models with
multi-scale analysis, not only enhances our understanding of membrane and
transporter proteins but also offers new perspectives and potential
applications in the field of bioinformatics.
Organizers: College of Intelligent
Computing & Artificial Intelligence Research Center
※ No registration needed.