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Computational structure prediction, including de novo and homology modeling, is an important tool for membrane protein studies. Developing an accurate scoring function that can be used for structure discrimination and assessment remains a challenge. In our previous work, we have analyzed a set of high-resolution membrane protein structures using the network approach developed in our lab and proposed...
Membrane protein and its interaction network has become a novel research direction in bioinformatics. Multiple researches on these interactions can improve our understanding of diseases and provide the basis to revolutionize therapeutic treatments. In this paper, a novel membrane protein interaction network simulator is proposed for system biology studies by intelligent multi-agents method. We consider...
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