Research talk: AI for drug discovery
Vložit
- čas přidán 7. 02. 2022
- Speakers:
Tong Wang, Researcher, Microsoft Research Asia
Yingce Xia, Senior Researcher, Microsoft Research Asia
Drug discovery is an important task with large social and business impacts. It usually takes tens of years and billions of dollars to discover a new drug. A promising and exciting direction in research involves using artificial intelligence (AI) to speed up drug discovery. In this talk, we will present two AI technologies designed for drug discovery: pretraining on compounds and AI-powered molecular docking. Inspired by the success of pretraining in natural language processing (NLP) and computer vision, we propose a new pretraining technique for molecules that involves dual-view molecule pretraining. Drug-target interaction prediction that identifies active binding drugs for target proteins plays an essential role in drug discovery. It is also the key challenge for virtual screening. In this talk, we present the Intermolecular Graph Transformer (IGT), which pays special attention to intermolecular information with a dedicated three-way transformer-based architecture.
Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit - Věda a technologie
“Why is drug discovery important ? Because it has great business value.”
Are you serious ???
my guy spitting plain FACTS
@@yoshi-jh1elBro got his priorities IN CHECK
Fantastic information! Thank you!
That's great you work in drug discovery: thank you for your contributions. As you know better than me, drugs are temperature sensitive; how do you feel about big pharma shipping there medications in uncontrolled containers? For example, a chemotherapy pill which states not to exceed a certain temp.
Good topic.
I want to work in AI in drug discovery. Would you like to give me some suggestions?
me too， I finished my bachelor of Biology science in2020, wanna work in AI drug discovery in the future
I am a PhD candidate and currently working on this subject. I'd be happy to hear from you.
@@yiyuzhai8950 Also me, I am a PhD candidate and currently working on this subject, too. I'd be happy to hear from you, too.