✦ LIBER ✦

Application of Validated QSAR Models of D1 Dopaminergic Antagonists for Database Mining

✍ Scribed by Oloff, Scott; Mailman, Richard B.; Tropsha, Alexander

Book ID: 111887252
Publisher: American Chemical Society
Year: 2005
Tongue: English
Weight: 777 KB
Volume: 48
Category: Article
ISSN: 0022-2623
DOI: 10.1021/jm049116m

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Application of Predictive QSAR Models to

Application of Predictive QSAR Models to Database Mining: Identification and Experimental Validation of Novel Anticonvulsant Compounds

✍ Shen, Min; Béguin, Cécile; Golbraikh, Alexander; Stables, James P.; Kohn, Harold 📂 Article 📅 2004 🏛 American Chemical Society 🌐 English ⚖ 250 KB

Development of 3D-QSAR models for 5-Lipo

Development of 3D-QSAR models for 5-Lipoxygenase antagonists: chalcones

✍ M Arockia Babu; Neeraj Shakya; Philip Prathipati; S.G Kaskhedikar; Anil K Saxena 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 387 KB

A Novel Automated Lazy Learning QSAR (AL

A Novel Automated Lazy Learning QSAR (ALL-QSAR) Approach: Method Development, Applications, and Virtual Screening of Chemical Databases Using Validated ALL-QSAR Models

✍ Zhang, Shuxing; Golbraikh, Alexander; Oloff, Scott; Kohn, Harold; Tropsha, Alexa 📂 Article 📅 2006 🏛 American Chemical Society 🌐 English ⚖ 350 KB

ChemInform Abstract: Use of 3D QSAR Mode

ChemInform Abstract: Use of 3D QSAR Models for Database Screening: A Feasibility Study.

✍ Alexander Hillebrecht; Gerhard Klebe 📂 Article 📅 2008 🏛 John Wiley and Sons ⚖ 11 KB 👁 1 views

## Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable v

On further application of r as a metric

On further application of r as a metric for validation of QSAR models

✍ Indrani Mitra; Partha Pratim Roy; Supratik Kar; Probir Kumar Ojha; Kunal Roy 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 308 KB 👁 1 views

## Abstract Validation is a crucial aspect for quantitative structure–activity relationship (QSAR) model development. External validation is considered, in general, as the most conclusive proof of predictive capacity of a QSAR model. In the absence of truly external data set, external validation is

SMILES-Based QSAR Models for the Calcium

SMILES-Based QSAR Models for the Calcium Channel-Antagonistic Effect of 1,4-Dihydropyridines

✍ Veselinović, Aleksandar M.; Milosavljević, Jovana B.; Toropov, Andrey A.; Nikoli 📂 Article 📅 2012 🏛 John Wiley and Sons 🌐 English ⚖ 232 KB