Literature DB >> 10794695

Nuclear receptor-DNA binding specificity: A COMBINE and Free-Wilson QSAR analysis.

S Tomic1, L Nilsson, R C Wade.   

Abstract

Specific binding of transcription factors to DNA is crucial for gene regulation. We derived models for the binding specificity of transcription factors of the nuclear receptor family to DNA using two QSAR methods: a Free-Wilson-like method and COMparative BINding Energy (COMBINE) analysis. The analysis is based on experimental data for the interaction of 20 mutant glucocorticoid receptor DNA-binding domains with 16 different response elements in a total of 320 complexes (Zilliacus, J.; Wright, A. P.; Carlstedt-Duke, J.; Nilsson, L.; Gustafsson, J. A. Proteins 1995, 21, 57-67). The predictive abilities of the models obtained by the two methods are similar. The COMBINE analysis indicates that the most important properties for determining binding specificity for this dataset are the changes upon binding of the solvation free energies of the bases that are mutated in the dataset and the electrostatic interactions of the mutated nucleotides with certain charged amino acids. Further important descriptors are the changes of solvation free energy and surface area of the side chain of the mutated residue. It is clear, however, that there are additional features important for the specificity of binding that are not included in the models, such as differences in interfacial hydration of the complexes.

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Year:  2000        PMID: 10794695     DOI: 10.1021/jm9911175

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  8 in total

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Journal:  J Comput Aided Mol Des       Date:  2008-11-07       Impact factor: 3.686

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4.  Mechanism of auxin interaction with Auxin Binding Protein (ABP1): a molecular dynamics simulation study.

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5.  Comparative binding energy analysis of haloalkane dehalogenase substrates: modelling of enzyme-substrate complexes by molecular docking and quantum mechanical calculations.

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6.  Improved estimation of protein-ligand binding free energy by using the ligand-entropy and mobility of water molecules.

Authors:  Yoshifumi Fukunishi; Haruki Nakamura
Journal:  Pharmaceuticals (Basel)       Date:  2013-04-26

7.  Statistical estimation of the protein-ligand binding free energy based on direct protein-ligand interaction obtained by molecular dynamics simulation.

Authors:  Yoshifumi Fukunishi; Haruki Nakamura
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8.  Structural basis for the development of SARS 3CL protease inhibitors from a peptide mimic to an aza-decaline scaffold.

Authors:  Kenta Teruya; Yasunao Hattori; Yasuhiro Shimamoto; Kazuya Kobayashi; Akira Sanjoh; Atsushi Nakagawa; Eiki Yamashita; Kenichi Akaji
Journal:  Biopolymers       Date:  2016-11-04       Impact factor: 2.505

  8 in total

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