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X-37

X-37

X-37 is a South San Francisco, California-based drug discovery company.

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Contents

x37.ai
Is a
Organization
Organization
Company
Company

Company attributes

Industry
Healthcare
Healthcare
Biomedical engineering
Biomedical engineering
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Drug development
Drug development
Engineering
Engineering
Autoimmune disease
Autoimmune disease
...
Location
South San Francisco, California
South San Francisco, California
0
San Francisco
San Francisco
B2X
B2B
B2B
CEO
David Collier
David Collier
0
Founder
Abraham Heifets
Abraham Heifets
Parent Organization
Atomwise
Atomwise
Email Address
info@x37.ai0
Full Address
400 Oyster Point Boulevard, Suite 202 South San Francisco, CA 940800
Investors
Hemi Ventures
Hemi Ventures
DCVC Bio
DCVC Bio
Data Collective
Data Collective
Alpha Intelligence Capital
Alpha Intelligence Capital
Founded Date
2019
Total Funding Amount (USD)
14,500,000
Latest Funding Round Date
November 14, 2019
Latest Funding Type
Series A
Series A
Country
United States
United States
0

Other attributes

Company Operating Status
Active
Latest Funding Round Amount (USD)
14,500,000

X-37 is a company that provides artificial intelligence (AI) drug discovery services and develops novel therapeutics. It was founded in 2019 by Abraham Heifets. The company is headquartered in San Francisco, California, United States.

Products and service

X-37's uses an AI platform called AtomNet, which was developed by Atomwise, its parent company. The platform uses convolutional neural networks to develop new therapeutic compounds through its prediction of new molecule structures based on its analysis of three-dimensional representations of protein-ligand pairs. AtomNet is meant to be utilized after target and binding site selection have been conducted. X-37 is developing therapeutics intended to target ZAP-70 (autoimmune disease), PIM 3 (cancer), cGAS/STING (autoimmune disease and cancer), Factor XIIa (anticoagulation), and SHP2 (cancer). The company will partner with pharmaceutical companies after successful preclinical trials of these therapeutics.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date

AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery

Izhar Wallach, Michael Dzamba, Abraham Heifets

https://arxiv.org/pdf/1510.02855.pdf

October 10, 2015

VentureRadar | VentureRadar

https://www.ventureradar.com/organisation/X-37/f79c1eb6-07d7-4be4-87bc-940802be1908

Web

References

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