Research talk: AI for drug discovery
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: https://Aka.ms/researchsummit
Видео Research talk: AI for drug discovery канала Microsoft Research
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: https://Aka.ms/researchsummit
Видео Research talk: AI for drug discovery канала Microsoft Research
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
The Intern Experience at Microsoft Research CambridgeBattling Tuberculosis Using Microsoft TechnologyFast and Flexible Multi-Task Classification Using Conditional Neural Adaptive ProcessesData Visualization Reaches New Heights with LayerscapeFaculty Summit 2018 IntroductionMicrosoft Pix - Take Better Photos of People, AutomaticallyImprovements on Higher Order Ambisonics ReproductionCambridge lab overview with Chris BishopGet free cloud computing time and storage on Microsoft AzureHow interns at our New England Lab impact research at MicrosoftAI Institute "Geometry of Deep Learning" 2019 [Workshop] Day 1 | Session 2De-Identifying Healthcare Data for ResearchIntelligent cloud computing lifts villages out of water povertyHow Microsoft and Novartis created Assess MS (short version)Project Prague - The Producer - Behind the ScenesHow OSIsoft and Deschutes Brewery used Microsoft Security Risk DetectionChronoZoom curriculum and technologyRecent Advances in Image Captioning, Image-Text Retrieval and…Using machine learning and AI to reduce hospital readmissionsIROS 2020 - Mixed Reality and Robotics Tutorial - Demo 1: InteractionCamera-based non-contact health sensing