Adverse Drug Events: Database Construction and in Silico Prediction-Reference-Cited by-同舟云学术

Adverse Drug Events: Database Construction and in Silico Prediction

Published:2013-04-08 Issue:4 Volume:53 Page:744-752
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Cheng Feixiong¹,Li Weihua¹,Wang Xichuan²,Zhou Yadi¹,Wu Zengrui¹,Shen Jie¹,Tang Yun¹

Affiliation:

1. Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China

2. Department of Surgery, Shanghai MCC Hospital, 456 Chunlei Road, Shanghai 200941, China

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci4000079

Reference40 articles.

1. Incidence of Adverse Drug Reactions in Hospitalized Patients

2. Data-Driven Prediction of Drug Effects and Interactions

3. A side effect resource to capture phenotypic effects of drugs

4. The Comparative Toxicogenomics Database: update 2011

5. Literature mining for the biologist: from information retrieval to biological discovery

Cited by 108 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. OnSIDES (ON-label SIDE effectS resource) Database : Extracting Adverse Drug Events from Drug Labels using Natural Language Processing Models;2024-03-24

2. MSDSE: Predicting drug-side effects based on multi-scale features and deep multi-structure neural network;Computers in Biology and Medicine;2024-02

3. mtADENet: A novel interpretable method integrating multiple types of network-based inference approaches for prediction of adverse drug events;Computers in Biology and Medicine;2024-01

4. Network-Based Methods and Their Applications in Drug Discovery;Journal of Chemical Information and Modeling;2023-12-27

5. Identification of drug-side effect association via correntropy-loss based matrix factorization with neural tangent kernel;Methods;2023-11