Literature DB >> 10669159

Structural basis for hemophilia A caused by mutations in the C domains of blood coagulation factor VIII.

A J Gale1, J L Pellequer, E D Getzoff, J H Griffin.   

Abstract

Three dimensional homology models for the C1 and C2 domains of factor VIII (FVIII) were generated. Each C domain formed a beta-sandwich, and C1 was covalently connected to C2 in a head-to-head orientation. Of the >250 missense mutations that cause FVIII deficiency and hemophilia A, 34 are in the C domains. We used the FVIII C1-C2 model to infer the structural basis for the pathologic effects of these mutations. The mutated residues were divided into four categories: 15 conserved buried residues that affect normal packing of the hydrophobic side chains, 2 non-conserved buried residues that affect structure, 11 conserved exposed residues and 6 non-conserved exposed residues. The effects of all 34 missense mutations can be rationalized by predictable disruptions of FVIII structure while at most four mutations (S2069F, T2154I, R2209Q/G/L and E2181D) may affect residues directly involved in intermolecular interactions of FVIII/VIIIa with other coagulation factors or vWF.

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Year:  2000        PMID: 10669159

Source DB:  PubMed          Journal:  Thromb Haemost        ISSN: 0340-6245            Impact factor:   5.249


  4 in total

1.  Domain organization of membrane-bound factor VIII.

Authors:  Svetla Stoilova-McPhie; Gillian C Lynch; Steven Ludtke; B Montgomery Pettitt
Journal:  Biopolymers       Date:  2013-07       Impact factor: 2.505

2.  Crystal structure of the bovine lactadherin C2 domain, a membrane binding motif, shows similarity to the C2 domains of factor V and factor VIII.

Authors:  Lin Lin; Qing Huai; Mingdong Huang; Bruce Furie; Barbara C Furie
Journal:  J Mol Biol       Date:  2007-05-25       Impact factor: 5.469

3.  Membrane Interaction of the Factor VIIIa Discoidin Domains in Atomistic Detail.

Authors:  Jesper J Madsen; Y Zenmei Ohkubo; Günther H Peters; Johan H Faber; Emad Tajkhorshid; Ole H Olsen
Journal:  Biochemistry       Date:  2015-09-30       Impact factor: 3.162

4.  Prediction of hemophilia A severity using a small-input machine-learning framework.

Authors:  Tiago J S Lopes; Ricardo Rios; Tatiane Nogueira; Rodrigo F Mello
Journal:  NPJ Syst Biol Appl       Date:  2021-05-25
  4 in total

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