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Molecular dynamics simulation of halogen bonding mimics experimental data for cathepsin L inhibition

Overview of attention for article published in Perspectives in Drug Discovery and Design, October 2014
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Title
Molecular dynamics simulation of halogen bonding mimics experimental data for cathepsin L inhibition
Published in
Perspectives in Drug Discovery and Design, October 2014
DOI 10.1007/s10822-014-9802-7
Pubmed ID
Authors

Cristian Celis-Barros, Leslie Saavedra-Rivas, J. Cristian Salgado, Bruce K. Cassels, Gerald Zapata-Torres

Abstract

A MD simulation protocol was developed to model halogen bonding in protein-ligand complexes by inclusion of a charged extra point to represent the anisotropic distribution of charge on the halogen atom. This protocol was then used to simulate the interactions of cathepsin L with a series of halogenated and non-halogenated inhibitors. Our results show that chloro, bromo and iodo derivatives have progressively narrower distributions of calculated geometries, which reflects the order of affinity I > Br > Cl, in agreement with the IC50 values. Graphs for the Cl, Br and I analogs show stable interactions between the halogen atom and the Gly61 carbonyl oxygen of the enzyme. The halogen-oxygen distance is close to or less than the sum of the van der Waals radii; the C-X···O angle is about 170°; and the X···O=C angle approaches 120°, as expected for halogen bond formation. In the case of the iodo-substituted analogs, these effects are enhanced by introduction of a fluorine atom on the inhibitors' halogen-bonding phenyl ring, indicating that the electron withdrawing group enlarges the σ-hole, resulting in improved halogen bonding properties.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 30%
Student > Ph. D. Student 5 22%
Student > Bachelor 2 9%
Professor 2 9%
Student > Master 2 9%
Other 4 17%
Unknown 1 4%
Readers by discipline Count As %
Chemistry 13 57%
Biochemistry, Genetics and Molecular Biology 2 9%
Medicine and Dentistry 2 9%
Agricultural and Biological Sciences 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 1 4%
Unknown 3 13%