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Atomwise

AI-powered virtual screening for small molecule drug discovery

Founded2012
HQSan Francisco, CA
StagePreclinical
Total Funding$123M
atomwise.com
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Overview

Atomwise is a pioneer in applying deep learning to structure-based drug design. Its AtomNet platform uses convolutional neural networks trained on millions of experimental affinity measurements to predict the binding of small molecules to protein targets, enabling rapid virtual screening of billions of compounds. The company has established a broad network of academic and pharmaceutical collaborations.

Focus areas

Virtual Screening, Generative Chemistry

Key models

AtomNet


Funding

$123M

Total raised


Technology

AtomNet is a deep learning neural network for structure-based drug design that predicts binding affinity of small molecules to protein targets. It uses 3D convolutional neural networks to evaluate molecular interactions, enabling virtual screening of ultra-large compound libraries.

Platforms & Tools
AtomNetAIMS (Atomwise Intelligent Molecular Screen)

Leadership

Abraham Heifets

CEO & Co-Founder

PhD in Computer Science from University of Toronto


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