Atomwise

Drug Discovery, Healthcare, Life Sciences
Deep Learning

Business Overview

Atomwise is revolutionizing how drugs are discovered with AI. We invented the use of deep learning for structure-based drug discovery, today developing a pipeline of small-molecule drug candidates advancing into preclinical studies.

Our AtomNetĀ® technology has been used to unlock more undruggable targets than any other AI drug discovery platform. We are tackling over 600 unique disease targets across 775 collaborations spanning more than 250 partners around the world.

Our portfolio of joint ventures and partnerships with leading pharmaceutical, agrochemical, and emerging biotechnology companies represents a collective deal value approaching $7 billion.

To date, Atomwise has raised over $174 million from leading venture capital firms to advance our mission to make better medicines, faster.

Operating Status
Active
Founded
June 2012
Employees
58
Funding stage
Series B
Total funding
$174 Million
Sectors
Drug Discovery, Healthcare, Life Sciences

Founders

Atomwise
Abraham Heifets
CEO
Atomwise
Izhar Wallach
CTO
AI Expert

Funding Rounds

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

AI Technology Stack

AI Description

Atomwise uses artificial intelligence to help discover new medicines and agricultural compounds. Its groundbreaking AtomNet technology reasons like a human chemist, using powerful deep learning algorithms and supercomputers to analyze millions of potential molecules each day.

Neural network architectures to predict protein-ligand binding affinity for drug discovery.

AI employees
17
AI types
Deep Learning
AI algorithms
Convolutional Neural Network (CNN)
AI tools
Torch
Coding
Python, R

Research

SARS-COV-2 has roused the scientific community with a call to action to combat the growing pandemic. At the time of this writing, there are as yet no novel antiviral agents or approved vaccines available for deployment as a frontline defense. Understanding the pathobiology of COVID-19 could aid scientists in their...
Driven by rapid advances in computer hardware and publicly available datasets over the past decade, deep learning has achieved tremendous success in the transformation of many computational disciplines. These novel technologies have had considerable impact on computer-aided drug design as well, throughout all stages of the development pipeline. A flexible...
Background: Porcine reproductive and respiratory syndrome (PRRS) is one of the most economically devastating diseases affecting the pork industry globally. PRRS is caused by PRRS virus (PRRSV). Currently there are no effective treatments against this swine disease. Methods: Through artificial intelligence molecular screening, we obtained a set of small molecule...

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