Invention Grant
- Patent Title: High-throughput virtual drug screening system based on molecular fingerprints and deep learning
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Application No.: US16772843Application Date: 2020-01-17
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Publication No.: US11581061B2Publication Date: 2023-02-14
- Inventor: Liwei Xie , Zhihong Liu , Bingdong Liu , Xiaohan Pan , Mulan Han , Guohuan Xu
- Applicant: GUANGDONG INSTITUTE OF MICROBIOLOGY (GUANGDONG DETECTION CENTER OF MICROBIOLOGY)
- Applicant Address: CN Guangzhou
- Assignee: GUANGDONG INSTITUTE OF MICROBIOLOGY (GUANGDONG DETECTION CENTER OF MICROBIOLOGY)
- Current Assignee: GUANGDONG INSTITUTE OF MICROBIOLOGY (GUANGDONG DETECTION CENTER OF MICROBIOLOGY)
- Current Assignee Address: CN Guangzhou
- Agency: Bayramoglu Law Offices LLC
- Priority: CN201910234195.9 20190326
- International Application: PCT/CN2020/072584 WO 20200117
- International Announcement: WO2020/125812 WO 20200625
- Main IPC: G16B15/30
- IPC: G16B15/30 ; G06N3/04 ; G06N3/08

Abstract:
A high-throughput virtual drug screening system based on molecular fingerprints and deep learning, includes a deep-learning model online-modeling subsystem and an online virtual-screening subsystem. The system combines the molecular fingerprints and a deep neural network method to construct a high-throughput virtual drug screening system. The system includes built-in structural-diversity screening libraries and realizes the online automatic construction of deep learning models and virtual screening. The system helps researchers in the drug discovery industry such as medicinal chemistry to conduct rapid screening through their desired targets to obtain potential active compounds and accelerate drug discovery.
Public/Granted literature
- US20210217487A1 High-Throughput Virtual Drug Screening System Based on Molecular Fingerprints and Deep Learning Public/Granted day:2021-07-15
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