Combinatorial Chemistry & High Throughput Screening

Accelerated Technologies for Biotechnology, Bioassays, Medicinal Chemistry and Natural Products Research


Gerald H. Lushington
LiS Consulting, Lawrence

Personal Subscription
Become EABM
Become Reviewer
Call for Editor

Editorial (To Greater Heights, from a Solid Foundation) promotion: free to download

Volume:13   Issue: 5
Pp: 375-376
Rathnam Chaguturu
DOI: 10.2174/138620710791293010

A Simple and Rapid Method for Selecting High Producers of Recombinant Proteins in Individual Clones of P. pastoris

Volume:13   Issue: 5
Pp: 377-382
Taha H. Al-Samarrai, Christopher A. Kirk, William T. Jones, Dawn Harvey and Matthew D. Templeton
DOI: 10.2174/138620710791292967

An Instrument-Based Screening Assay for DNA-Targeted Anticancer Drugs Using Resonance Light Scattering

Volume:13   Issue: 5
Pp: 383-392
Zhanguang Chen, Guoliang Liu, Maohuai Chen, Xi Chen, Mingyao Wu and Xingtong Chen
DOI: 10.2174/138620710791292949

High Throughput Screening and Evolution of a Library of Ligands in Asymmetric H-Transfer Reduction of Acetophenone

Volume:13   Issue: 5
Pp: 393-413
Radwan Abdallah, Pierre Grenouillet, Nicolas Vriamont, Olivier Riant and Claude de Bellefon
DOI: 10.2174/138620710791292985

Application of Chemistry-Based Functional Proteomics to Screening for Novel Drug Targets

Volume:13   Issue: 5
Pp: 414-421
Kefei Yuan, Yunlong Lei and Canhua Huang
DOI: 10.2174/138620710791292976

3-Nitro-Tyrosine as an Internal Quencher of Autofluorescence Enhances the Compatibility of Fluorescence Based Screening of OBOC Combinatorial Libraries

Volume:13   Issue: 5
Pp: 422-429
Jared Townsend, Andrew Do, Alan Lehman, Seth Dixon, Babak Sanii and Kit S. Lam
DOI: 10.2174/138620710791292994

Using Machine Learning Methods to Predict Experimental High Throughput Screening Data

Volume:13   Issue: 5
Pp: 430-441
Cherif Mballo and Vladimir Makarenkov
DOI: 10.2174/138620710791292958

Virtual Screening in Drug Design and Development

Volume:13   Issue: 5
Pp: 442-453
Sergio F. Sousa, Nuno M.F.S.A. Cerqueira, Pedro A. Fernandes and Maria Joao Ramos
DOI: 10.2174/138620710791293001