✦ LIBER ✦

Prediction of P-Glycoprotein Substrates by a Support Vector Machine Approach

✍ Scribed by Xue, Y.; Yap, C.W.; Sun, L.Z.; Cao, Z.W.; Wang, J.F.; Chen, Y.Z.

Book ID: 118118193
Publisher: American Chemical Society
Year: 2004
Tongue: English
Weight: 93 KB
Volume: 44
Category: Article
ISSN: 0095-2338
DOI: 10.1021/ci049971e

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of P-Glycoprotein Substrates

Prediction of P-Glycoprotein Substrates by a Support Vector Machine Approach.

✍ Y. Xue; C. W. Yap; L. Z. Sun; Z. W. Cao; J. F. Wang; Y. Z. Chen 📂 Article 📅 2004 🏛 John Wiley and Sons ⚖ 17 KB 👁 2 views

Identifying P-Glycoprotein Substrates Us

Identifying P-Glycoprotein Substrates Using a Support Vector Machine Optimized by a Particle Swarm

✍ Huang, Jianping; Ma, Guangli; Muhammad, Ishtiaq; Cheng, Yiyu 📂 Article 📅 2007 🏛 American Chemical Society 🌐 English ⚖ 131 KB

Carcinogenicity Prediction of Noncongene

Carcinogenicity Prediction of Noncongeneric Chemicals by a Support Vector Machine

✍ Zhong, Min; Nie, Xianglei; Yan, Aixia; Yuan, Qipeng 📂 Article 📅 2013 🏛 American Chemical Society 🌐 English ⚖ 932 KB

A topological substructural approach for

A topological substructural approach for the prediction of P-glycoprotein substrates

✍ Miguel Angel Cabrera; Isabel González; Carlos Fernández; Carmen Navarro; Marival 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 191 KB

A topological substructural molecular design approach (TOPS-MODE) has been used to predict whether a given compound is a P-glycoprotein (P-gp) substrate or not. A linear discriminant model was developed to classify a data set of 163 compounds as substrates or nonsubstrates (91 substrates and 72 nons

Ground-level ozone prediction by support

Ground-level ozone prediction by support vector machine approach with a cost-sensitive classification scheme

✍ Wei-Zhen Lu; Dong Wang 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 895 KB

Prediction of Sweetness by Multilinear R

Prediction of Sweetness by Multilinear Regression Analysis and Support Vector Machine

✍ Zhong, Min; Chong, Yang; Nie, Xianglei; Yan, Aixia; Yuan, Qipeng 📂 Article 📅 2013 🏛 Institute of Food Technologists 🌐 English ⚖ 378 KB