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An interdisciplinary area called bioinformatics develops methods and software tools for comprehending biological data, especially when the data sets are huge and complex. A type of bioinformatic modelling called molecular docking includes the interaction of two or more molecules to produce a stable adduct. It makes predictions about the three-dimensional structure of any complex based on the binding characteristics of ligand and target.
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In molecular modeling, molecular docking is a widely used technique that predicts the preferred orientation of a given molecule to a second when they’re bound to each other to form a stable complex. The relationships between biologically related molecules such as proteins, nucleic acids, carbohydrates, and lipids play a critical role in signal transduction. For that reason, docking is useful for predicting both the strength and type of produced signal. We use software like Autodock, Autodock Vina, GoldDock, Schrodinger, and others for molecular docking studies.
Protein-Protein/DNA/RNA docking / ligand-receptor
Multi ligand-receptor docking using Auto Dock / ligand-receptor
Genomic Sequence identification and deposition in NCBI Genebank
Phylogenetic tree preparation based on the genomic sequence
Identification of closely related species in NCBI Genebank
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