Identification and Validation of Human DNA Ligase Inhibitors Using Computer-Aided Drug Design
- 17 July 2008
- journal article
- research article
- Published by American Chemical Society (ACS) in Journal of Medicinal Chemistry
- Vol. 51 (15) , 4553-4562
- https://doi.org/10.1021/jm8001668
Abstract
Linking together of DNA strands by DNA ligases is essential for DNA replication and repair. Since many therapies used to treat cancer act by causing DNA damage, there is growing interest in the development of DNA repair inhibitors. Accordingly, virtual database screening and experimental evaluation were applied to identify inhibitors of human DNA ligase I (hLigI). When a DNA binding site within the DNA binding domain (DBD) of hLigI was targeted, more than 1 million compounds were screened from which 192 were chosen for experimental evaluation. In DNA joining assays, 10 compounds specifically inhibited hLigI, 5 of which also inhibited the proliferation of cultured human cell lines. Analysis of the 10 active compounds revealed the utility of including multiple protein conformations and chemical clustering in the virtual screening procedure. The identified ligase inhibitors are structurally diverse and have druglike physical and molecular characteristics making them ideal for further drug development studies.Keywords
This publication has 56 references indexed in Scilit:
- Rational Design of Human DNA Ligase Inhibitors that Target Cellular DNA Replication and RepairCancer Research, 2008
- UCSF Chimera—A visualization system for exploratory research and analysisJournal of Computational Chemistry, 2004
- Empirical force fields for biological macromolecules: Overview and issuesJournal of Computational Chemistry, 2004
- The Protein Data BankNucleic Acids Research, 2000
- All-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of ProteinsThe Journal of Physical Chemistry B, 1998
- An Evaluation of Structural Descriptors and Clustering Methods for Use in Diversity SelectionSAR and QSAR in Environmental Research, 1998
- Finite representation of an infinite bulk system: Solvent boundary potential for computer simulationsThe Journal of Chemical Physics, 1994
- Deformable stochastic boundaries in molecular dynamicsThe Journal of Chemical Physics, 1983
- CHARMM: A program for macromolecular energy, minimization, and dynamics calculationsJournal of Computational Chemistry, 1983
- A geometric approach to macromolecule-ligand interactionsJournal of Molecular Biology, 1982