共 128 条
The Role of Water Occlusion for the Definition of a Protein Binding Hot-Spot
被引:12
作者:

Moreira, Irina S.
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Porto, Fac Ciencias, REQUIMTE Dept Quim & Bioquim, P-4169007 Oporto, Portugal
Univ Coimbra, CNC Ctr Neurosci & Cell Biol, FMUC, P-3004517 Coimbra, Portugal Univ Porto, Fac Ciencias, REQUIMTE Dept Quim & Bioquim, P-4169007 Oporto, Portugal
机构:
[1] Univ Porto, Fac Ciencias, REQUIMTE Dept Quim & Bioquim, P-4169007 Oporto, Portugal
[2] Univ Coimbra, CNC Ctr Neurosci & Cell Biol, FMUC, P-3004517 Coimbra, Portugal
关键词:
Feature-based methods;
Hot-spots;
O-ring;
Solvent accessible surface area;
Water;
Wet-spots;
STRUCTURALLY CONSERVED RESIDUES;
ACCESSIBLE SURFACE-AREA;
ALANINE SCANNING MUTAGENESIS;
O-RING THEORY;
CRYSTAL-STRUCTURE;
FREE-ENERGY;
ACCURATE PREDICTION;
INTERFACES;
SOLVENT;
DATABASE;
D O I:
10.2174/1568026615666150519103733
中图分类号:
R914 [药物化学];
学科分类号:
100701 ;
摘要:
Biological systems rely on the establishment of interactions between biomolecules, which take place in the aqueous environment of the cell. It was already demonstrated that a small set of residues at the interface, Hot-Spots(HS), contributes significantly to the binding free energy. However, these energetic determinants of affinity and specificity are still not fully understood. Moreover, the contribution of water to their HS character is also poorly characterized. In this review, we have focused on the structural data available that support the occlusion of HS from solvent, and therefore the "O-ring theory" not only on protein-protein but also on protein-DNA complexes. We also emphasized the use of Solvent Accessible Surface Area (SASA) features in a variety of machine-learning approaches that aim to detect binding HS.
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页码:2068 / 2079
页数:12
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