Illuminating the Druggable Genome (IDG) Outreach with BAGIM

IDG Outreach meeting with BAGIM
9 am – 2 pm, August 23, 2018
Harvard Medical School
Boston, MA

RSVP Email: idg.rdoc@gmail.com before August 19th, or you will not be able to enter the building.
Come and hear more about Illuminating the Druggable Genome Consortium, a NIH Common Fund program,
composed of Knowledge Management Centers (KMC), Data Resource Generating Centers (DRGC), and
Resource Dissemination and Outreach Center (RDOC).

Agenda:

9:00 Welcome and Introduction - Tudor Oprea, PhD, MD

9:05 Presentation from KMC at University of New Mexico (UNM)
Protein Knowledge Graphs and Machine Learning for
Target Prioritization - Tudor Oprea, PhD, MD

9:30 Presentation from KMC at Icahn School of Medicine at Mt.
Sinai (ISMMS)
Harmonizome-ML: Interactive On-the-Fly Imputation of
Knowledge about Genes and Proteins with Machine
Learning - Avi Ma'ayan, PhD

9:55 Presentation from KMC at National Center for Advancing
Translational Sciences (NCATS)
Pharos, User-Interface to Illuminating Druggable Genome -
Dac-Trung Nguyen and Timothy Sheils

10:20 Break

10:35 Presentation from DRGC - Kinase
Dark Kinase Knowledgebase - Matthew Berginski, PhD
(UNC at Chapel Hill)
Small Molecule Library Informatics - Nienki Moret, Bsc
(Harvard)

11:25 Presentation from DRGC - Ion Channel
Data driven co-ablation of Ion Channels - Zicheng Hu, PhD
(UCSF)

11:50 Break

12:20 Presentation from outside IDG community
Functional and structural interactions in druggable targets
from evolutionary information - Chris Sander, PhD
(Harvard)
Genetic variation in human drug-related genes - Debora
Marks, PhD (Harvard)

13:10 Feedback loop: Discussion on improvements to better
serve the community.

Location:
Harvard Medical School
Warren Alpert Building, Room 563
200 Longwood Avenue
Boston, MA 02115

**Attendees**: Please email your name and affiliation to idg.rdoc@gmail.com by August 19, 2018 in order to
pass HMS building security.
BAGIM - Boston Area Group for Informatics and Modeling

DruggableGenome.net