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EVENT DESCRIPTION  
 
Event Type:  Lecture
 
Title:  Translating from Chemistry to Clinic with Deep Learning
 
Description:  Abstract:
Many medicines become toxic only after bioactivation by metabolizing enzymes. Often, metabolic enzymes transformed them into chemically reactive species, which subsequently conjugate to proteins and cause adverse events. For example, carbamazepine is epoxidized by P450 enzymes in the liver, but then conjugates to proteins, causing Stevens Johnson Syndrome in some patients. The most difficult to predict drug reactions, idiosyncratic adverse drug reactions, often depend on bioactivation. Our group has been using deep learning to model the metabolism of diverse chemicals, and the subsequent reactivity of their metabolites. Deep learning systematically summarizes the information from thousands of publications into quantitative models of bioactivation, predicting exactly how medicines are modified by metabolic enzymes. These models are giving deeper understanding of why some drugs become toxic, and others do not. At the same time, deep learning can be used to understand drug toxicity as it arises in clinical data, and why some patients are affected, but not others. A conversation between the basic and clinical sciences is now possible, where patient outcomes can be understood in light of bioactivation mechanisms, and these mechanisms can explain why some patients are susceptible to drug toxicity, and others are not.

Brief Bio:
S. Joshua Swamidass is an Assistant Professor of Laboratory and Genomic Medicine at Washington University School of Medicine (http://swami.wustl.edu). His group studies information with new computational methods, at the intersection of biology, medicine and chemistry. He is funded by the National Library Medicine (NLM) to model bioactivation pathways, and how bioactivation pathways change in children. Dr. Swamidass is currently on the NLM Biomedical Informatics, Library and Data Sciences Review Committee.

This talk will be broadcast live and archived at http://videocast.nih.gov/.

Sign Language Interpreters will be provided.
 
Series Name:  NLM Informatics and Data Science Lecture Series:
 
Videocast:  Event will be videocast LIVE on the Web
 
Videocast URL:  http://videocast.nih.gov
  Event will be available in the videocast ARCHIVE
 
Special Instructions:  To arrange sign language interpretation for an event go to the Office
of Research Services (ORS) Interpreting Service Requests web page.
 

EVENT DATE/TIME  
 
Date/Time: 
Wednesday, March 07, 2018   2:00pm - 3:00pm Add To Outlook Calendar     Add To iCal Calendar     Add To Entourage Calendar
 
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EVENT SPEAKER(S)  
 
Name:   S. Joshua Swamidass, MD PhD
Title:   Assistant Professor of Laboratory and Genomic Medicine
Organization:   Washington University School of Medicine
City/Province:   St. Louis
State:   Missouri
Country:   USA
 

EVENT SPONSOR(S)  
 
Organization(s):  [NIH] National Library of Medicine (NLM)
 

EVENT LOCATION  
 
Location:  On the main NIH Campus
Building:  Building 45 (Natcher Building)
 
Street Address:  45 Center Drive
City:  Bethesda
State:  Maryland
Zip Code:  20892
 

EVENT CONTACT(S)  
 
Name:   Jane Ye
E-mail:   yej@MAIL.NLM.NIH.GOV
Phone:   301.594.4927
 
Name:   Ebony Hughes
E-mail:   Ebony.Hughes@nih.gov
Phone:   3014518038
 
 
 
 
 
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