Prediction of Nucleic Acid Binding Proteins
نویسنده
چکیده
Predicting nucleic acid‐binding motif and binding site given a protein sequence is important for understanding gene regulation, DNA repair and chromatin structure. The task of analyzing the protein–RNA binding structures manually becomes increasingly difficult as the complexity and number of protein–RNA binding structures increase. Statistical analysis of atomic interactions of 139 protein–DNA and 49 protein–RNA complexes was described by some authors. Electrostatic interactions are an important contribution to the binding of proteins to nucleic acids. Electrodynamics and moment‐based prediction of DNA‐ , RNA‐binding proteins was introduced in recent studies. Our approach is to use structure databases to find the key amino acids important in interaction. In this preliminary study I calculated the frequencies of occurrence of protein charges of 18 protein‐DNA and 25 synthetase‐tRNA complexes enzymes. DNA‐binding proteins have significantly higher net positive charges and than negative charges near the DNA. However, RNA‐ binding proteins have significantly higher net negative charges than positive charges near the RNA.
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تاریخ انتشار 2006