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Review of QSAR for DNA Polymerase Inhibitors and New Models for Heterogeneous Series of Compounds

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DNA polymerases are essential enzymes for DNA replication, repair and recombination. The high number of possible candidates creates the necessity of Quantitative Structure-Activity Relationship models in order to guide the DNA polymerase inhibitors. In this work, we revised different computational studies for a very large and heterogeneous series of DNA polymerase inhibitors. First, we reviewed QSAR methods with different compounds to find out the structural requirements for DNA polymerase inhibitory activity. Last, we report a new LDA analysis with the different molecular descriptors calculated with DRAGON software.





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Keywords: DNA; LDA; QSAR; docking; enzyme; eukaryotic; high-throughput screening; polymerases; prokaryotic; topological descriptors

Document Type: Research Article

Publication date: December 1, 2011

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  • 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.
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