✦ LIBER ✦

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

✍ Scribed by Hae-Seok Eo; Sungmin Kim; Hyeyoung Koo; Won Kim

Publisher: Korean Society for Molecular and Cellular Biology
Year: 2009
Tongue: English
Weight: 701 KB
Volume: 27
Category: Article
ISSN: 1016-8478
DOI: 10.1007/s10059-009-0091-2

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A novel sequence-based method of predict

A novel sequence-based method of predicting protein DNA-binding residues, using a machine learning approach

✍ Yudong Cai; ZhiSong He; Xiaohe Shi; Xiangying Kong; Lei Gu; Lu Xie 📂 Article 📅 2010 🏛 Korean Society for Molecular and Cellular Biology 🌐 English ⚖ 325 KB

A novel domain-based method for predicti

A novel domain-based method for predicting the functional classes of proteins

✍ Xiaojing Yu; Jiancheng Lin; Tieliu Shi; Yixue Li 📂 Article 📅 2004 🏛 Springer 🌐 English ⚖ 554 KB

An Automated System for the Analysis of

An Automated System for the Analysis of G Protein-Coupled Receptor Transmembrane Binding Pockets: Alignment, Receptor-Based Pharmacophores, and Their Application.

✍ Nicole A. Kratochwil; Pari Matlherbe; Lothar Lindemann; Martin Ebeling; Marius C 📂 Article 📅 2005 🏛 John Wiley and Sons ⚖ 8 KB

A Simple and Powerful Flow Cytometric Me

A Simple and Powerful Flow Cytometric Method for the Simultaneous Determination of Multiple Parameters at G Protein-Coupled Receptor Subtypes

✍ Erich Schneider; Matthias Mayer; Ralf Ziemek; Liantao Li; Christoph Hutzler; Gün 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 745 KB