Abstract
Molecular docking methodology explores the behavior of small molecules in the binding site of a target protein. As more protein structures are determined experimentally using X-ray crystallography or nuclear magnetic resonance (NMR) spectroscopy, molecular docking is increasingly used as a tool in drug discovery. Docking against homology-modeled targets also becomes possible for proteins whose structures are not known. With the docking strategies, the druggability of the compounds and their specificity against a particular target can be calculated for further lead optimization processes. Molecular docking programs perform a search algorithm in which the conformation of the ligand is evaluated recursively until the convergence to the minimum energy is reached. Finally, an affinity scoring function, ΔG [U total in kcal/mol], is employed to rank the candidate poses as the sum of the electrostatic and van der Waals energies. The driving forces for these specific interactions in biological systems aim toward complementarities between the shape and electrostatics of the binding site surfaces and the ligand or substrate.
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Nataraj S. Pagadala declares that he has no conflict of interest. Khajamohiddin Syed declares that he has no conflict of interest. Jack Tuszynski declares that he has no conflict of interest.
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Pagadala, N.S., Syed, K. & Tuszynski, J. Software for molecular docking: a review. Biophys Rev 9, 91–102 (2017). https://doi.org/10.1007/s12551-016-0247-1
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DOI: https://doi.org/10.1007/s12551-016-0247-1