• Founded: 2012
  • Location: San Francisco, CA
  • Employee range: 50 - 200
  • Funding: $123M B Aug 2020; $45M A Mar 2018; $6M 2015

job board

Short description:

AI for Drug Discovery

Drug notes:

Contact us to add description:

Long description:

Atomwise is using artificial intelligence systems for faster and more scalable drug discovery. Computational drug discovery is cheaper than standard methods and can be used to create a short-list of high-potential candidates before testing. Atomwise has developed a machine learning-based discovery engine called AtomNet that combines convolutional neural networks with chemical libraries to discover new small molecules. The AtomNet platform can identify drug candidates for targets with no crystal structure and can interrogate vast chemical space that also enables them to drug the undruggable. Atomwise is using the AtomNet to advance their portfolio of drugs for immunology and oncology.


© 2024 Work In Biotech LLC
Personal data

Terms of Service

Privacy Policy