[행사/세미나] 인공지능대학원 전문가 초청 세미나(Dr. Bonggun Shin, CEO @ Deargen-USA, 10/26(화),11시)
- 인공지능학과
- 조회수24335
- 2021-10-19
Title: Recent Topics in Deep Learning based Drug Discovery
Speaker: Dr. Bonggun Shin, CEO @ Deargen-USA
Time : 2021 Oct 26th 11:00 ~ 12:00
Location: 27111 (Live virtual classroom, but less than 10 participants including presenter) OR https://skku-ict.webex.com/meet/ai.dept
Abstract:
Proposing a new drug candidate is an essential part of the drug discovery process, consisting of many sub-tasks. Traditionally, these tasks have been tackled by chemistry and pharmaceutical experts and take years to design. Therefore, many deep-learning models have been proposed to effectively accelerate drug discovery tasks.
In this seminar, how deep learning methods can be applied to each of the subtasks in the drug discovery process. Firstly, as a target identification tool, a new feature selection method for disease-related features will be introduced. Next, we will review a new drug-target interaction model based on Transformer architecture to overcome the limitation of the existing models. Lastly, a novel drug generation model that can modify an existing drug to best reflect the desired properties will be presented.
After reviewing these models, the limitations of these approaches will be highlighted so that we can properly guess the future research direction.
Bio:
Bonggun Shin is a CEO at Deargen-USA and a former chief artificial intelligence officer and a co-founder at Deargen Inc. He received his doctorate and master’s degree of computer science in Emory University. Dr. Shin also received his master’s degree of electrical engineering in Korea Advanced Institute of Science and Technology (KAIST) and his bachelor’s degree of computer engineering in Illinois Institute of Technology (IIT). His research interests include machine learning (ML), healthcare, and drug discovery.