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Combinatorial Chemistry & High Throughput Screening publishes full length original research articles and reviews describing various topics in combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) and/or high throughput screening (e.g. developmental, practical or theoretical). Ancillary subjects of key importance, such as robotics and informatics, will also be covered by the journal. In these respective subject areas, Combinatorial Chemistry & High Throughput Screening is intended to function as the most comprehensive and up-to-date medium available. The journal should be of value to individuals engaged in the process of drug discoveryand development, in the settings of industry, academia or government.

Publisher: Bentham Science Publishers

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Volume 13, Number 5, 2010

Articles

Free Content Editorial (To Greater Heights, from a Solid Foundation)
pp. 375-376(2)
Author: Chaguturu, Rathnam

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A Simple and Rapid Method for Selecting High Producers of Recombinant Proteins in Individual Clones of P. pastoris
pp. 377-382(6)
Authors: H. Al-Samarrai, Taha; A. Kirk, Christopher; T. Jones, William; Harvey, Dawn; D. Templeton, Matthew

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An Instrument-Based Screening Assay for DNA-Targeted Anticancer Drugs Using Resonance Light Scattering
pp. 383-392(10)
Authors: Chen, Zhanguang; Liu, Guoliang; Chen, Maohuai; Chen, Xi; Wu, Mingyao; Chen, Xingtong

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High Throughput Screening and Evolution of a Library of Ligands in Asymmetric H-Transfer Reduction of Acetophenone
pp. 393-413(21)
Authors: Abdallah, Radwan; Grenouillet, Pierre; Vriamont, Nicolas; Riant, Olivier; de Bellefon, Claude

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Application of Chemistry-Based Functional Proteomics to Screening for Novel Drug Targets
pp. 414-421(8)
Authors: Yuan, Kefei; Lei, Yunlong; Huang, Canhua

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3-Nitro-Tyrosine as an Internal Quencher of Autofluorescence Enhances the Compatibility of Fluorescence Based Screening of OBOC Combinatorial Libraries
pp. 422-429(8)
Authors: Townsend, Jared; Do, Andrew; Lehman, Alan; Dixon, Seth; Sanii, Babak; S. Lam, Kit

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Using Machine Learning Methods to Predict Experimental High Throughput Screening Data
pp. 430-441(12)
Authors: Mballo, Cherif; Makarenkov, Vladimir

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Virtual Screening in Drug Design and Development
pp. 442-453(12)
Authors: F. Sousa, Sergio; M.F.S.A. Cerqueira, Nuno; A. Fernandes, Pedro; Joao Ramos, Maria

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