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DNA-binding proteins plays important role in a variety of vital biology processes. In this study, we apply a machine learning method for classify DNA-binding proteins from non-binding proteins based on sequence information. Using an evolutionary feature and residue composition feature extracted from primary structure, we have trained a support vector machine(SVM) to distinguish DNA-binding proteins...
Major royal jelly protein 1 (MRJP1, the most abundant protein of honeybee royal jelly) has been recognized as a valuable functional foods and therapeutic protein for human beings. There is great potential using transgenic technology to express recombinant MRJP1 in milk in order to improve the human health conditions. For expression of MRJP1 in milk, mammary gland-specific expression vector (pBC1-MRJP1-NEOr)...
Protein-DNA interactions are vitally important in a wide range of biological processes such as gene regulation and DNA replication and repair. We predict DNA-binding residues in proteins from amino acid sequences by support vector machine (SVM) with a novel hybrid feature which incorporates evolutionary information of amino acid sequences and four physical-chemical properties, including the side chain...
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