Bioinfomatics-Biostatistics Journal Club: Interpretable Deep Learning Models For Scoring Protein-Ligand In Drug Discovery


Bioinfomatics-Biostatistics Journal Club: Interpretable Deep Learning Models For Scoring Protein-Ligand In Drug Discovery

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April 30, 2019 - 14:00 - 15:00
Team: Events, Training & News
Posted on April 03, 2019
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Bioinfomatics-Biostatistics Journal Club: Interpretable Deep Learning Models For Scoring Protein-Ligand In Drug Discovery

Team: Events, Training & News

April 30, 2019 - 14:00 - 15:00

Description


Title: Interpretable Deep Learning Models For Scoring Protein-Ligand In Drug Discovery

Date: April 30th, 2019, 2-3 pm

Objective:  Understand the principle of scoring protein-ligand binding affinities in drug discovery and the development of interpretable artificial intelligence-based models for the analysis.

Bioinformatics-Biostatistics Journal Club (BBJC) is hosted by the Data Science platform at the George & Fay Yee Centre for Healthcare Innovation. The BBJC aims to stimulate discussion of bioinformatical and statistical methods development and applications for complex health data in translation and personalized medicine. All students, faculty, and staff are welcome to join this monthly event. We are looking for faculty members and trainees to lead future discussions. For more information, contact Dr. Pingzhao Hu or Dr. Robert Balshaw.

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