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Accutar Biotech

Accutar Biotech

Drug discovery artificial intelligence company founded in 2015 by Jie Fan and Ke Liu.

OverviewStructured DataIssuesContributors

Contents

accutarbio.com
Is a
Organization
Organization
Company
Company

Company attributes

Industry
Biology
Biology
Drug discovery
Drug discovery
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Technology
Technology
Machine learning
Machine learning
Biotechnology
Biotechnology
Location
China
China
Shanghai
Shanghai
Brooklyn
Brooklyn
0
New York City
New York City
B2X
B2B
B2B
CEO
‌
Jie Fan
0
Founder
‌
Jie Fan
0
‌
Ke Liu
Pitchbook URL
pitchbook.com/profiles...229009-87
Legal Name
Accutar Biotechnology Inc.
Legal classification
Corporation
Corporation
Date Incorporated
2016
Number of Employees (Ranges)
11 – 50
Email Address
academic@accutarbio.com0
career@accutarbio.com0
corporate@accutarbio.com0
media@accutarbio.com0
Full Address
760 Parkside Avenue Suite 213 Brooklyn, NY 11226 United States0
CIK Number
1,783,798
Place of Incorporation
Delaware
Delaware
Investors
IDG Capital Partners
IDG Capital Partners
YITU Technology
YITU Technology
ZhenFund
ZhenFund
Founded Date
2015
Total Funding Amount (USD)
76,653,857
Latest Funding Round Date
January 2021
Competitors
BenevolentAI
BenevolentAI
Latest Funding Type
Series A
Series A
Patents Assigned (Count)
12
Country
United States
United States
0

Other attributes

Company Operating Status
Active

Accutar Biotech - also known as AccutarBio - is a company that develops a drug discovery artificial intelligence platform. It was founded in 2015 by Jie Fan, Ke Liu. It is headquartered in Shanghai, China, and maintains an additional office in New York City, United States. The company has received funding from IDG Capital, Yitu Technology, and ZhenFund.

Product and service

Accutar Biotech's AI is made up of several components: Accutar Virtual Screen, Docking, Intelligent-SAR, and Chemi-Net. These integrated components are used to design novel drug compounds and are intended to be used during the drug development and preclinical trial phases. The virtual representation of protein-ligand bindings is conducted through Accular Virtual Screen and Docking. Intelligent-SAR generates novel compounds which are then validated through co-crystallization and binding assays. Its Chemi-Net platform uses a deep neural network to predict absorption, distribution, metabolism, and excretion (ADME) of these compounds.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date

AccutarBio | YITU Technology-YITU Explore the AI World

https://www.yitutech.com/en/partner/accutarbio

Web

AccutarBio Advances AI in Drug Discovery - SyncedReview - Medium

Synced

https://medium.com/syncedreview/accutarbio-advances-ai-in-drug-discovery-e28c50abdec3

Web

May 1, 2018

Chemi-net: a graph convolutional network for accurate drug property prediction

Ke Liu, Xiangyan Sun, Lei Jia, Jun Ma, Haoming Xing, Junqiu Wu, Hua Gao, Yax Sun, Florian Boulnois, Jie Fan

https://arxiv.org/abs/1803.06236

Journal article

March 16, 2018

References

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