Deep Learning for Drug Discovery with DeepChem
Watch the webinar replay to hear Bharath Ramsundar from Stanford University explain how to install and set up DeepChem, an open source library for deep learning in drug discovery. Most software engineers and scientists are familiar with applications of deep learning to problems of image, speech and text analysis. However, fewer are familiar with applying deep learning techniques to molecular data.
By watching this replay, you'll learn:
- How to apply DeepChem to common problems in molecular modeling
- How to design a deep model that predicts the solubility of drug like molecules in water
- About a model that predicts the potential toxicity for human patients of a drug-like model
WEBINAR REGISTRATION
Presented By
Bharath Ramsundar
PhD Student, Stanford University
Bharath received a BA and BS from UC Berkeley in EECS and Mathematics and was valedictorian of my graduating class in mathematics. He is currently a PhD student in computer science at Stanford University whose research focuses on the application of deep-learning to problems in drug-discovery. Bharath is the lead developer on the https://deepchem.io open source project. To see a list of his publications check out his google-scholar. Bharath is supported by a Fannie and John Hertz Foundation Fellowship.
 "Add Presenter 2's Title (ex: CMO, ABC Company)")
Add Presenter 2's Name (John Smith)
Add Presenter 2's Title (ex: CMO, ABC Company)
Add Presenter 2's Bio (2-3 Sentences)
 "Add Presenter 3's Title (ex: CMO, ABC Company)")
Add Presenter 3's Name (John Smith)
Add Presenter 3's Title (ex: CMO, ABC Company)
Add Presenter 3's Bio (2-3 Sentences)
 "Add Presenter 4's Title (ex: CMO, ABC Company)")
Add Presenter 4's Name (John Smith)
Add Presenter 4's Title (ex: CMO, ABC Company)
Add Presenter 4's Bio (2-3 Sentences)
HOSTED BY
