Current Computer - Aided Drug Design logo Bentham Science Publishers logo

Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design. Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, etc., providing excellent rationales for drug development.

Publisher: Bentham Science Publishers

Volume 4, Number 1, March 2008
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Articles

Editorial [ Evolving Paradigms in Drug Design and Discovery Guest Editor: Shahul H. Nilar ]
pp. 1-1(1)
Author: Nilar, Shahul H.

Free Content Trends in High-Performance Computing Requirements for Computer- Aided Drug Design
pp. 2-12(11)
Authors: Vacek, George; Mullally, Dave; Christensen, Knute

Free Content Changing Paradigms in Drug Discovery: Scientific Business Intelligence™ and Workflow Solutions
pp. 13-22(10)
Authors: Varma-O'Brien, Shikha; Brown, Frank K.; LeBeau, Andrew; Brown, Robert D.

Novel Algorithms for the Identification of Biologically Informative Chemical Diversity Metrics
pp. 23-34(12)
Authors: Theertham, Bhargav; Wang, Jenna L.; Fang, Jianwen; Lushington, Gerald H.

Novel Rule-Based Method for Multi-Parametric Multi-Objective Decision Support in Lead Optimization Using KEM
pp. 35-45(11)
Authors: Jullian, Nathalie; Afshar, Mohammad

PET and SPECT Imaging of Tumor Biology: New Approaches Towards Oncology Drug Discovery and Development
pp. 46-53(8)
Authors: Van Dort, Marcian E.; Rehemtulla, Alnawaz; Ross, Brian D.

Applications of Computer-Aided Pharmacokinetic and Pharmacodynamic Methods from Drug Discovery Through Registration
pp. 54-66(13)
Authors: Dong, Jennifer Q.; Chen, Bin; Gibbs, Megan A.; Emery, Maurice; Gibbs, John P.

Computational Strategies to Predict Effect of P-Glycoprotein Transporter Efflux and Minimize its Impact on the Penetration of Drugs into the Central Nervous System (CNS)
pp. 67-75(9)
Author: Srivastava, Sanjay

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