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Can I read Virtual screening by 2-D fingerprints, shape and docking for discovering new chemotypes of activator protein-1 inhibitors on EtoBox?
Virtual screening by 2-D fingerprints, shape and docking for discovering new chemotypes of activator protein-1 inhibitors by Yin, Zhou is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Virtual screening by 2-D fingerprints, shape and docking for discovering new chemotypes of activator protein-1 inhibitors about?
Activator protein-1 Fos/Jun proteins bind to cognate DNA and regulate gene expression. Small-molecule inhibitors targeting activator protein-1 DNA binding have been developed in the past decades for therapeutic applications. Recent structural and studies suggest a putative inhibitor binding pocket on the activator protein-1 structure, and computational modeling suggests a consensus binding mode of three classes of known small-molecule inhibitors. Here, virtual screening of two-dimensional fingerprints, shape, and docking was performed in search of novel chemotypes of activator protein-1 inhibitors. A standard score (Z-score) coalescing top-ranked ligands from the three methods was used and the top-scoring ligands were clustered by similarity. A representative ligand from each large cluster was evaluated using metadynamics simulations and molecular mechanics calculations. Representative hits showed diverse chemotypes and their modeled binding pose on activator protein-1 reproduced key interactions with binding site residues.Communicated by Ramaswamy H. Sarma.
Who reads Virtual screening by 2-D fingerprints, shape and docking for discovering new chemotypes of activator protein-1 inhibitors?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Yin, Zhou
- Publisher
- Adenine Press; Informa UK (Taylor & Francis); Taylor & Francis; Informa UK Limited (ISSN 0739-1102)
- Published
- 2020
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)