Fractal Dimensions of Macromolecular Structures

被引:12
|
作者
Todoroff, Nickolay [1 ]
Kunze, Jens [1 ]
Schreuder, Herman [2 ]
Hessler, Gerhard [2 ]
Baringhaus, Karl-Heinz [2 ]
Schneider, Gisbert [1 ]
机构
[1] Swiss Fed Inst Technol, Dept Chem & Appl Biosci, CH-8093 Zurich, Switzerland
[2] Sanofi Aventis Deutschland GmbH R&D, Frankfurt, Germany
关键词
Ligand binding; Computational chemistry; Drug discovery; Protein structure; Fractal; PROTEIN-PROTEIN INTERFACES; DRUGGABLE BINDING-SITES; PREDICTION; SURFACE; BIOSYNTHESIS; EFFICIENT; CAVITIES; RECEPTOR; DATABASE; POCKETS;
D O I
10.1002/minf.201400090
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Quantifying the properties of macromolecules is a prerequisite for understanding their roles in biochemical processes. One of the less-explored geometric features of macromolecules is molecular surface irregularity, or 'roughness', which can be measured in terms of fractal dimension ( D). In this study, we demonstrate that surface roughness correlates with ligand binding potential. We quantified the surface roughnesses of biological macromolecules in a large-scale survey that revealed D values between 2.0 and 2.4. The results of our study imply that surface patches involved in molecular interactions, such as ligand-binding pockets and protein-protein interfaces, exhibit greater local fluctuations in their fractal dimensions than 'inert' surface areas. We expect approximately 22% of a protein's surface outside of the crystallographically known ligand binding sites to be ligandable. These findings provide a fresh perspective on macromolecular structure and have considerable implications for drug design as well as chemical and systems biology.
引用
收藏
页码:588 / 596
页数:9
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