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On the energy components governing molecular recognition in the framework of continuum approaches

Overview of attention for article published in Frontiers in Molecular Biosciences, March 2015
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Title
On the energy components governing molecular recognition in the framework of continuum approaches
Published in
Frontiers in Molecular Biosciences, March 2015
DOI 10.3389/fmolb.2015.00005
Pubmed ID
Authors

Lin Li, Lin Wang, Emil Alexov

Abstract

Molecular recognition is a process that brings together several biological macromolecules to form a complex and one of the most important characteristics of the process is the binding free energy. Various approaches exist to model the binding free energy, provided the knowledge of the 3D structures of bound and unbound molecules. Among them, continuum approaches are quite appealing due to their computational efficiency while at the same time providing predictions with reasonable accuracy. Here we review recent developments in the field emphasizing on the importance of adopting adequate description of physical processes taking place upon the binding. In particular, we focus on the efforts aiming at capturing some of the atomistic details of the binding phenomena into the continuum framework. When possible, the energy components are reviewed independently of each other. However, it is pointed out that rigorous approaches should consider all energy contributions on the same footage. The two major schemes for utilizing the individual energy components to predict binding affinity are outlined as well.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Researcher 4 14%
Student > Master 3 11%
Student > Bachelor 2 7%
Unspecified 2 7%
Other 6 21%
Unknown 5 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 25%
Chemistry 4 14%
Agricultural and Biological Sciences 3 11%
Unspecified 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Other 4 14%
Unknown 6 21%