Drug target prediction using adverse event report systems: a pharmacogenomic approach-Reference-Cited by-同舟云学术

Drug target prediction using adverse event report systems: a pharmacogenomic approach

Published:2012-09-07 Issue:18 Volume:28 Page:i611-i618
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:Bioinformatics

Author:

Takarabe M.,Kotera M.,Nishimura Y.,Goto S.,Yamanishi Y.

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/28/18/i611/695773/bts413.pdf

Reference21 articles.

1. An Algorithmic Framework for Predicting Side Effects of Drugs

2. Structure–Activity Relationships for In vitro and In vivo Toxicity

3. Supervised prediction of drug–target interactions using bipartite local models

4. Drug Target Identification Using Side-Effect Similarity

5. Chemical space and biology

Cited by 115 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. MvG-NRLMF: Multi-view graph neighborhood regularized logistic matrix factorization for identifying drug–target interaction;Future Generation Computer Systems;2024-11

2. HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction;Chemometrics and Intelligent Laboratory Systems;2024-10

3. Artificial Intelligence: From Drug Discovery to Clinical Pharmacology;Big Data Analysis and Artificial Intelligence for Medical Sciences;2024-05-10

4. A review of deep learning algorithms for modeling drug interactions;Multimedia Systems;2024-04-14

5. Pharmacogenetics and pharmacogenomics;Biochemical and Molecular Pharmacology in Drug Discovery;2024