Sequence composition predicts immunoglobulin superfamily members that could share the intrinsically disordered properties of antibody CH1 domains.
Sequence composition predicts immunoglobulin superfamily members that could share the intrinsically disordered properties of antibody CH1 domains.
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DOI:
10.1038/s41598-017-12616-9
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发表时间:
2017-09-29
影响因子:
4.6
通讯作者:
Warwicker J
中科院分区:
文献类型:
--
作者:
Hebditch M;Curtis R;Warwicker J
Antibodies are central to the growing sector of protein therapeutics, and increasingly they are being manipulated as fragments and combinations. An improved understanding of the properties of antibody domains in isolation would aid in their engineering. We have conducted an analysis of sequence and domain interactions for IgG antibodies and Fab fragments in the structural database. Of sequence-related properties studied, relative lysine to arginine content was found to be higher in CH1 and CL than in variable domains. As earlier work shows that lysine is favoured over arginine in more soluble proteins, this suggests that individual domains may not be optimised for greater solubility, giving scope for fragment engineering. Across other sequence-based features, CH1 is anomalous. A sequence-based scheme predicts CH1 to be folded, although it is known that CH1 folding is linked to IgG assembly and secretion. Calculations indicate that charge interactions in CH1 domains contribute less to folded state stability than in other Fab domains. Expanding to the immunoglobulin superfamily reveals that a subset of non-antibody domains shares sequence composition properties with CH1, leading us to suggest that some of these may also couple folding, assembly and secretion.
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影响因子:
16
作者:
Feige, Matthias J.;Groscurth, Sandra;Marcinowski, Moritz;Shimizu, Yuichiro;Kessler, Horst;Hendershot, Linda M.;Buchner, Johannes
通讯作者:
Buchner, Johannes
影响因子:
7.8
作者:
Hendershot, L M
通讯作者:
Hendershot, L M
影响因子:
7.8
作者:
Hendershot, L;Bole, D;Kohler, G;Kearney, J F
通讯作者:
Kearney, J F
DOI:
10.1093/bioinformatics/btp163
发表时间:
2009-06-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Cock PJ;Antao T;Chang JT;Chapman BA;Cox CJ;Dalke A;Friedberg I;Hamelryck T;Kauff F;Wilczynski B;de Hoon MJ
通讯作者:
de Hoon MJ
影响因子:
2.9
作者:
BASHFORD, D;KARPLUS, M
通讯作者:
KARPLUS, M