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RISPrediction of protein-protein interactions in red blood cell tissue based on protein primary structure
Question: Protein-protein interaction information in human
tissue is key to understanding disease mechanisms and consequently
designing of new drugs. Completion of human genome
project opened up new insights...
Prediction of protein-protein interactions using signature profiling
Protein-protein interaction is the key element of cellular activities. Proteins interact with each other through functional units such as domains, binding sites, etc which are collectively called signatures. Signatures are main interfaces in each...
Dual Promoter Vector Construction for Simultaneous Gene Expression Using SOE-PCR Technique
There are two different co-expression systems including bicistronic; dual-vector or two-promoter to express two different genes simultaneously and also to study protein-protein interactions. Bicistronic system has disadvantages e.g. … compared...
In Silico Interactome Network Analysis and Phylogenetic Relationship of Potato Peroxidases and Catalases
or gene expression of POXs and CATs has been investigated in potato plants, their interactions with other proteins in this crop have not been investigated till now. Determining Protein-Protein Interaction (PPI) networks could be important in providing...
A two stage learning method for protein-protein interaction prediction
In this paper, a new method for PPI (proteinprotein interaction) prediction is proposed. In PPI prediction,
a reliable and sufficient number of training samples is not available, but a large number of unlabeled ...
Protein-Protein Interaction Networks Alignment using Mathematical Model Approximation
on real protein-protein interaction
-PPI- networks of different real and synthetic species.
Experimental results indicated improvements in the alignment
precision of different networks especially large ones in
comparison with NETwork ALigner...
Suitability of sequence-based feature vector for classification algorithm improves accuracy of human protein-protein interaction prediction: a red blood cell case study
To classify human protein-protein interaction information and consolidate existing data, supervised learning algorithms are implemented. These algorithms require a feature vector to generate a prediction model and feature vectors could...
Prediction of protein-protein interactions using protein signature profiling.
Protein domains are conserved and functionally independent structures that play an important role in interactions among related proteins. Domain-domain interactions have been recently used to predict protein-protein interactions (PPI). In general...
Insights from engineering the Affibody-Fc interaction with a computational-experimental method
The interaction between the Staphylococcal Protein A (SpA) domain B (the basis of the Affibody)
molecule and the Fc of IgG is key to the use of Affibodies in affinity chromatography and in
potential therapies ...