Structural context of exons in protein domains: Implications for protein modelling and design
被引:8
作者:
Contreras-Moreira, B
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机构:
Canc Res UK London Res Inst, Biomolec Modelling Lab, Lincolns Inn Fields Labs, London WC2A 3PX, EnglandCanc Res UK London Res Inst, Biomolec Modelling Lab, Lincolns Inn Fields Labs, London WC2A 3PX, England
Contreras-Moreira, B
[1
]
Johnsson, PF
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Canc Res UK London Res Inst, Biomolec Modelling Lab, Lincolns Inn Fields Labs, London WC2A 3PX, EnglandCanc Res UK London Res Inst, Biomolec Modelling Lab, Lincolns Inn Fields Labs, London WC2A 3PX, England
Johnsson, PF
[1
]
Bates, PA
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h-index: 0
机构:
Canc Res UK London Res Inst, Biomolec Modelling Lab, Lincolns Inn Fields Labs, London WC2A 3PX, EnglandCanc Res UK London Res Inst, Biomolec Modelling Lab, Lincolns Inn Fields Labs, London WC2A 3PX, England
Bates, PA
[1
]
机构:
[1] Canc Res UK London Res Inst, Biomolec Modelling Lab, Lincolns Inn Fields Labs, London WC2A 3PX, England
protein evolution;
intron-exon boundaries;
comparative modelling;
protein design;
D O I:
10.1016/j.jmb.2003.09.023
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
Intron boundaries were extracted from genomic data and mapped onto single-domain human and murine protein structures taken from the Protein Data Bank. A first analysis of this set of proteins shows that intron boundaries prefer to be in non-regular secondary structure elements, while avoiding alpha-helices and beta-strands. This fact alone suggests an evolutionary model in which introns are constrained by protein structure, particularly by tertiary structure contacts. In addition, in silico recombination experiments of a subset of these proteins together with their homologues, including those in different species, show that introns have a tendency to occur away from artificial crossover hot spots. Altogether, these findings support a model in which genes can preferentially harbour introns in less constrained regions of the protein fold they code for. In the light of these findings, we discuss some implications for protein modelling and design. (C) 2003 Elsevier Ltd. All rights reserved.