Oxygen-binding and sensing proteins

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Oxygen-binding and sensing proteins

This collection of papers is a snapshot of topics presented at the international conference on Oxygen-Binding and Sensing Proteins (O2BiP)  held in Sheffield, UK, on 6 (th)-10 (th) July 2014. The collection will grow over time as new papers relating to O2BiP topics are completed and published.

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Neuroglobin and cytoglobin: oxygen-binding proteins in retinal neurons.

PURPOSE The goal of this study was to describe the detailed localization of the novel oxygen-binding molecules, neuroglobin (Ngb) and cytoglobin (Cygb), in mammalian retinas and to determine whether Ngb and Cygb are neuronal or glial proteins in the retina. METHODS Antibodies directed against Ngb and Cygb were used to examine their patterns of distribution in normal canine retinas. Immunoblot...

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Oxygen Binding, Activation, and Reduction to Water by Copper Proteins.

Copper active sites play a major role in biological and abiological dioxygen activation. Oxygen intermediates have been studied in detail for the proteins and enzymes involved in reversible O(2) binding (hemocyanin), activation (tyrosinase), and four-electron reduction to water (multicopper oxidases). These oxygen intermediates exhibit unique spectroscopic features indicative of new geometric a...

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Cops and robbers: putative evolution of copper oxygen-binding proteins.

Two closely related copper proteins, phenoloxidase and haemocyanin, are known to be involved in different physiological functions such as the primary immune response and oxygen transport. Although the proteins differ structurally, they have the same active site by which dioxygen is bound. Recent results reveal that haemocyanin also exhibits phenoloxidase activity. A scenario is proposed for the...

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Oxypred: Prediction and Classification of Oxygen-Binding Proteins

This study describes a method for predicting and classifying oxygen-binding proteins. Firstly, support vector machine (SVM) modules were developed using amino acid composition and dipeptide composition for predicting oxygen-binding proteins, and achieved maximum accuracy of 85.5% and 87.8%, respectively. Secondly, an SVM module was developed based on amino acid composition, classifying the pred...

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ژورنال

عنوان ژورنال: F1000Research

سال: 2015

ISSN: 2046-1402

DOI: 10.12688/f1000research.6017.1