Abstract
AbstractThe integration of cheminformatics tools, thermodynamic data, and structural information play a major role in the drug discovery process. Altogether, these methods can describe the molecular forces that govern the affinity and selectivity of bioactive molecules for their macromolecular targets. By being able to uncover the relationships between structure and energetics when using high‐resolution structural information and modern biophysical methods, one can fulfill the challenge of correctly interpreting drug–macromolecular interactions. These interactions are prone to be unveiled and scrutinized when structure‐based drug design is applied to a known three‐dimensional (3D) structure of a given protein. If fully integrated with structure‐based ligand design in an iterative way, computational methods can be of invaluable help to describe the ligand–target (cocomplex) formation. Structure‐based virtual screening can be used to rapid cherry‐pick the best candidates from a large pool of compounds in a chemical library after docking into the active sites of 3D protein structures. To pursue this, the quantification of favorable and unfavorable interactions requires knowledge of the thermodynamics of the interactions. Docking algorithms and molecular dynamics simulations can be used to predict binding energies for positioning ligands in target binding sites, but they only provide information regarded to the prediction of the change in the Gibbs free energy change, which hampers the thoroughly dissection of all other very important thermodynamic parameters—enthalpy, entropy, and heat capacity change. The major goal of this chapter is to show the integration of structure‐based drug design with the energetic. Microcalorimetric measurement of the drug–macromolecular interaction is an effective way to enhance the power, the medicinal chemists have on hand, to pursue a knowledge‐based approach toward the description of all of the noncovalent bond terms that take place in the cocomplex formation.
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