✦ LIBER ✦

Similarity-based machine learning methods for predicting drug-target interactions: a brief review

✍ Scribed by Ding, H.; Takigawa, I.; Mamitsuka, H.; Zhu, S.

Book ID: 121365384
Publisher: Oxford University Press
Year: 2013
Tongue: English
Weight: 323 KB
Volume: 15
Category: Article
ISSN: 1467-5463
DOI: 10.1093/bib/bbt056

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Drug–target interaction prediction via c

Drug–target interaction prediction via chemogenomic space: learning-based methods

✍ Mousavian, Zaynab; Masoudi-Nejad, Ali 📂 Article 📅 2014 🏛 Informa plc 🌐 English ⚖ 920 KB

Predicting network of drug–enzyme intera

Predicting network of drug–enzyme interaction based on machine learning method

✍ Niu, Bing; Zhang, Yuchao; Ding, Juan; Lu, Yin; Wang, Miao; Lu, Wencong; Yuan, Xi 📂 Article 📅 2014 🏛 Elsevier Science 🌐 English ⚖ 713 KB

A machine learning based method for the

A machine learning based method for the prediction of G protein-coupled receptor-binding PDZ domain proteins

✍ Hae-Seok Eo; Sungmin Kim; Hyeyoung Koo; Won Kim 📂 Article 📅 2009 🏛 Korean Society for Molecular and Cellular Biology 🌐 English ⚖ 701 KB

[IEEE 2010 Second International Conferen

[IEEE 2010 Second International Conference on Machine Learning and Computing - Bangalore, India (2010.02.9-2010.02.11)] 2010 Second International Conference on Machine Learning and Computing - A Survey of Semantic Similarity Methods for Ontology Based Information Retrieval

✍ Saruladha, K.; Aghila, G.; Raj, Sajina 📂 Article 📅 2010 🏛 IEEE ⚖ 272 KB

Utility of a physiologically–based pharm

Utility of a physiologically–based pharmacokinetic (PBPK) modeling approach to quantitatively predict a complex drug–drug–disease interaction scenario for rivaroxaban during the drug review process: implications for clinical practice

✍ Joseph A. Grillo; Ping Zhao; Julie Bullock; Brian P. Booth; Min Lu; Kathy Robie- 📂 Article 📅 2012 🏛 John Wiley and Sons 🌐 English ⚖ 535 KB

Background: Rivaroxaban is an oral Factor Xa inhibitor. The primary objective of this communication was to quantitatively predict changes in rivaroxaban exposure when individuals with varying degrees of renal impairment are co-administered with another drug that is both a P-gp and a moderate CYP3A4