Pre-Conference Workshops

Workshop A

 

Wednesday, 26 June, 2019

Time: 09.30am – 12.00pm

Workshop Leader: Gregory P. Way, Postdoctoral Associate, Broad Institute

 

Machine Learning to Accelerate Biomedical Discovery

As data continues to increase in size and complexity, methods capable of understanding this deluge are more important now than ever. Machine learning can be used to extract valuable insights from large biomedical and genomic datasets. There are many specific obstacles and considerations when applying machine learning to biomedical data. This interactive workshop will discuss machine learning fundamentals, best implementation practices, how to leverage publicly available resources, and will discuss a case study integrating data types to match responders to specific therapies.

 

Topics to be covered:

• Hear about and discuss the fundamentals of supervised and unsupervised machine learning
• Hear about and discuss the obstacles to successful machine learning applications
• Hear about and discuss the best practices for machine learning implementations
• Hear about and discuss how using machine learning can identify “hidden responders” to current therapies
• Hear about and discuss the future of machine learning applied to expanding biomedical datasets
• Hear about machine learning applied to the Ras pathway as a case study
• Learn how the method detects Ras activation across cancer types and identifies phenocopying variants, which can predict response to MEK inhibitors in wild-type Ras cell lines

Workshop B

 

Wednesday, 26 June, 2019

Time: 13.00pm – 15.30pm

Workshop Leader: Alexander V. Statsyuk, Assistant Professor of Medicinal Chemistry, University of Houston

 

Covalent Fragments in Drug Discovery to Empower Your Future Small Molecule Drug Discovery

Covalent probes use useful to design enzyme inhibitors and covalent protein degraders. Covalent fragments is a new emerging technology that uses advantages of fragment based drug discovery to a) design covalent probes, and b) discover new drug targets. This workshop will cover the design principles of covalent fragment libraries, target-based and phenotypic screens using covalent fragments, strategies to grow fragments into drug leads, and case studies.

 

Topics to be covered:

• Covalent probes as enzyme inhibitors, PPI inhibitors, and protein degraders
• Covalent fragments a new approach to design covalent probes
• Design principles of covalent fragment libraries
• Current technologies for covalent fragment-based screens
• Examples of target-based and phenotypic screens using covalent fragments
• Strategies and considerations for growing fragments into drug leads
• Case studies of coupling covalent fragment growth with selectivity profiling in cells
• Using covalent fragments as toolkits to discover novel drug targets in phenotypic screens
• Photo-crosslinking methods to identify fragment drug targets in cells