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Titlebook: Information Systems Design and Intelligent Applications; Proceedings of Secon J. K. Mandal,Suresh Chandra Satapathy,Anirban Mukh Conference

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Structural Bioinformatic Approach to Understand the Molecular Mechanism of the Interactions of Smal at physiological temperature the interactions decrease which allows Lon to promote better binding and degradation at physiological temperature. So far this is the first report to predict the interactions scheme between these proteins.
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Use of Machine Learning Features to Detect Protein-Protein Interaction Sites at the Molecular Levele the maximum predictive capability as measured by their Area Under the Receiver Operating Characteristics (ROC) curves (AUC value). The RF based predictor was found to be a better performer than the SVM based predictor for this training set.
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Structural Analyses of the Mode of Binding Between AANAT Protein with 14-3-3 Protein Involved in Hust report that characterizes the difference in binding between the two forms of the protein. Therefore, the results from this study may be useful for the development of drugs in patients having impaired melatonin synthesis.
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An In-Silico Structural Analysis of the Interactions of SoxY and SoxZ from Moderately Thermophilic ions were identified after molecular dynamics simulation of SoxY–Z complex. The best binding mode of thiosulfate with SoxY–Z complex was identified through their molecular docking. Current study thereby, provides a rational frame-work to discern molecular mechanism and biophysical characterization of sulfur-oxidation process.
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