Encoded Library Technology for Hit Generation and Machine Learning

The Encoded Libraries team builds combinatorial libraries and develops novel screening technology to discover ligands of predicted high-value antiviral targets. Screening output fuels machine learning models to inform virtual screening and medicinal chemistry hit expansion to optimize molecules for translation to the clinic. 

2021 Closeup_edited_edited.jpg

Don Francis

Brian M Paegel, Ph.D.

Principal Investigator

Paegel is a professor in Departments of Pharmaceutical Sciences, Chemistry, and Biomedical Engineering at UC Irvine. He is an expert in DNA-encoded library technology, miniaturization, automation, and assay development. 

Ashley Jones

Robert Damoiseaux, Ph.D.

Damoiseaux is a professor in the Departments of Pathology and Bioengineering at UCLA. He directs UCLA's molecular screening center at the California NanoSystems Institute and is an expert in early discovery and medicinal chemistry. He has several drugs that originated in his laboratory in clinical trials and will leverage his automation expertise for the generation of DNA

20220123_104900 (5).jpg

Lisa Rose

Kit Lam, M.D., Ph.D.

Lam is distinguished professor and chair of the Department of Biochemistry and Molecular Medicine, and in the Department of Hematology and Oncology at UC Davis. His seminal work in parallel chemical synthesis started the field of combinatorial chemistry. He is the inventor of one-bead-one-compound technology. 

Lam-bg.jpg
port_018086_ma_felice lightstone_038_crop_edited.jpg

Tess Brown

Felice Lightstone, Ph.D.

Lightstone is group leader and associate program lead of Medical Countermeasures at Lawrence Livermore National Laboratory. She is a leader in multi-scale simulations and machine learning with specific interests in accelerating the discovery of new medicines. 

mobley.jpg

David Mobley, Ph.D.

Mobley is a professor in the Departments of Pharmaceutical Sciences and Chemistry at UC Irvine. Mobley is leader in drug discovery computational chemistry, specializing in protein-ligand docking, desolvation, and solubility prediction. 

Brian Bennion, Ph.D.

Bennion is a staff scientist at Lawrence Livermore National Laboratory. Bennion is expert in computational medicinal chemistry, with interests hit-to-lead compound optimization, hit expansion library design and enumeration, synthesis prediction, and chemical warfare countermeasure development. 

brian bennion.jpg
liu.png

Ruiwu Liu, Ph.D.

Liu is a research professor in the Department of Chemistry at UC Davis. Liu is an expert in encoded combinatorial library design, reaction development, and on-bead screening.