Reverie Labs, Roche to advance kinase drug discovery

By The Science Advisory Board staff writers

July 8, 2020 -- Reverie Labs is partnering with Roche and Genentech to advance next-generation kinase inhibitors with the use of artificial intelligence.

Reverie will use its technology platform to perform virtual screening, hit-to-lead generation, and lead optimization of several kinase inhibitor discovery programs in collaboration with Roche and Genentech scientists. Reverie will use its scalable infrastructure to train machine-learning models for kinase potency, kinome selectivity, and metabolism and toxicity properties to generate millions of novel chemical structures to evaluate.

Under the agreement, Reverie will receive an upfront payment of an undisclosed amount and will be eligible for preclinical, clinical, and regulatory milestone payments, as well as tiered royalties on Roche's sale of drug candidates produced from the collaboration.

Machine learning helps identify antimicrobial-resistant bacteria
A new graphical user interface-driven, machine learning-based approach has successfully identified antimicrobial resistance genes for gram-positive and...
From DNA to precision medicine, researchers discuss breakthroughs in cancer research
From the use of novel technologies such as machine learning and CRISPR, to gaining a deeper understanding of the genetic and molecular drivers of cancer,...
Artificial intelligence helps researchers find new antibiotics
To address antibiotic resistance, researchers have developed a machine-learning approach that can search millions of known chemicals to find new...

Copyright © 2020

Register below for our weekly Letter from the Editor to receive the latest Science news and insights.
2020 ACCP Annual Meeting
September 20-22
Bethesda, Maryland United States
Bioprocess International West
September 21-24
Eastern Standard Time Zone (EST) United States
BioProcess International
September 21-24
Eastern Standard Time Zone (EST), Massachusetts United States
Science Advisory Board on LinkedIn
Science Advisory Board on Facebook
Science Advisory Board on Twitter