Novel and Heuristic MolDoc Scoring Procedure for Identification of Staphylococcus Aureus

Authors

  • Sridevi Gadde Research Scholar, Computer Science and Engineering, Centurion University of Technology and Management, Vizianagaram Andhra Pradesh, India
  • A. S. N. Chakravarthy Professor. JNTUK-University College of Engineering Vizianagaram, Department of computer Science &Engineering, Vizianagaram, Andhra Pradesh, India.

Keywords:

Staphylococcus aureus, mol doc scoring, drug target selection, drug target identification, protein-protein sequence

Abstract

Staphylococcus aureus has gotten an adaptable microorganism fit for causing a wide extent of human ailments generally in view of a striking assortment of danger useful properties which are grants it to persevere through ludicrous guidelines inside the host of the protein grouping. Staphylococcus aureus is a common human pathogen, and this paper offers a medication-focused metabolic route for staphylococcus aureus. Use a range of constraining measures, from -59.15 k/m to -193.616 k/m, to characterize protein-ligand analysis in docking. Define the optimal bounds for particle loads in the innovative MolDock Scoring method. Efficient protein-ligand interactions can be deduced from protein data through the use of an atom mooring scoring approach, as revealed by research. In a flash applied on various informational collections concerning handling disregarded atoms as the best inhibitor against phosphotransacetylase.

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Molecular docking with selection process of drug

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Published

31.01.2023

How to Cite

Gadde, S. ., & Chakravarthy, A. S. N. . (2023). Novel and Heuristic MolDoc Scoring Procedure for Identification of Staphylococcus Aureus. International Journal of Intelligent Systems and Applications in Engineering, 11(2s), 125 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2516

Issue

Vol. 11 No. 2s (2023)

Section

Research Article

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