November 2017 ATOM Consortium Accelerating Therapeutics for Opportunities in Medicine 2 To accelerate the development of more effective therapies for patients A new starting point Transform drug discovery from a slow sequential and highfailure process into a rapid integrated and patient ID: 778127
Download The PPT/PDF document "ATOM Accelerating Therapeutics for Oppor..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Slide1
ATOM
Accelerating Therapeutics for Opportunities in Medicine
November 2017
Slide2ATOM Consortium
Accelerating Therapeutics for Opportunities in Medicine2
To accelerate the development of more effective therapies for patients
A new starting point:
Transform drug discovery from a slow, sequential, and high-failure process into a rapid, integrated, and patient-centric model
Integrated
precompetitive
platform
Mission
From target to patient-ready in <1 year
1 year
3 year goal
Vision
How?
High-performance computing
Emerging biotech capabilities
Diverse biological data
Slide33
A new model for collaborative, cross-disciplinary work
Harnessing frontier technologies
Super-computing
Experimental technologies
Data and analytics
Machine learning
Computational technologies
Protein models
Cell and tumor models
Patient models
Tumor organoids
Single cell biology
Automated platforms
Multi-scale modeling
Slide44
Navigating the molecular recognition-interaction space
Mechanistic simulation
Synthesize compoundsBiological assays
Active learning
What’s the next experiment?
What’s the next simulation?
Project execution
Initialize designs
Virtual screen
Rational design
Data and model lake development and operations
Open computing and tool ecosystem
Outside databases
Literature
Slide5Integrated ATOM work streams
How staff at ATOM will work together to solve key questions for the workflow
5
Data management & computing infrastructure
Active machine learning
Computational models
Molecular design & synthesis
Discovery & translational assays
Quantitative pharmacology
How should we secure, store, access, and share our data and models?
Can we develop mechanistic and data-driven models that are predictive of human biology?
Can we develop algorithms for chemical synthesis to execute through an automated
platform?
What are the key experiments or data that we need to refine our models?
Can we efficiently run human-relevant assays in parallel that will better inform our models?
Can we develop patient-specific models to predict on- and off-target effects in real-time?
Slide6NCI/Fredrick National
Laboratories FellowshipsResearch project within ATOM focusing on at least one of the workstreamsComputational scientists participate in empirical work and vice versaExposure to drug discovery from start to IND/regulatory filingsAn ideal candidate has A strong background in Computational Biology, Chemistry, Cancer, High-performance computing
An interest in team science across scientific disciplines and building a skill set outside of their primary disciplineAn existing or planned research relationship with a USCF Faculty member interested in ATOMFlexibility to start ca 2nd quarter of 2018
2 Postdoc positions, FNL employees (1-2 yrs)6
Slide7GSK ATOM Consortium Postdoctoral
FellowshipsPostdoctoral Researcher in Computational Chemistry & Drug Postdoctoral Researcher in Quantitative PharmacologyPostdoctoral Researcher in Computational ADME/Toxicology Postdoctoral Researcher in Pathway, Cell and Tumor Modelinghttp://us.gsk.com/en-us/careers/search-jobs-and-apply/
7
Slide88