What is optimal energy of ligand structure in molecular docking?4 answersThe optimal energy of a ligand structure in molecular docking is crucial for accurate binding predictions. Various strategies have been proposed to enhance docking accuracy, such as multi-objective optimization methods that focus on minimizing root mean square deviation (RMSD) and intermolecular energy. Additionally, the incorporation of electrostatic interactions and polarization effects through methods like the Effective Polarizable Bond (EPB) approach has shown significant improvements in docking performance. Quantum-chemical methods, like the PM7 semiempirical method with the COSMO implicit solvent model, have been utilized to determine the global energy minimum of protein-ligand complexes, enhancing docking accuracy in solvent environments. These diverse approaches collectively contribute to achieving optimal ligand structure energies in molecular docking simulations.
Docking study in dft chemistry4 answersDocking studies in density functional theory (DFT) chemistry have been conducted in several papers. In one study, the efficiency of obtained products against selected drug targets in anti-Alzheimer ligand-receptor interactions was investigated using molecular docking analysis. Another study evaluated the bioactivity of phytochemicals as inhibitors against SARS-CoV-2 using computational models and molecular docking. In a different study, molecular docking was performed to investigate the mode of binding of novel sulfonamide derivatives to paraoxonase 1 enzyme. Additionally, molecular docking was used to determine the interactions between AChE and BChE enzymes and a chemical compound. Furthermore, a docking study was conducted to identify protein-ligand interactions and determine the best binding score. These papers demonstrate the use of molecular docking in DFT chemistry for various applications.
What are the factors that contribute to the binding energy of a cluster?3 answersThe binding energy of a cluster is influenced by several factors. The fractional d-orbital occupancy per atom and the average coordination number of an atom (Z) are important parameters in determining the cohesive energy per atom in a bulk transition metal. Additionally, the amount of valence charge density surrounding the ionized atom and the coordination of the cluster atoms play a role in the shift of cluster core level binding energies with respect to cluster size. The interaction energy between non-nearest neighbor atoms and the structure of the cluster also contribute to the binding energy. Furthermore, lattice strain induced by changes in chemical bonding between metal atoms can affect the binding energy of metal nanoparticles on insulating supports.
What is the best method for molecular docking study?5 answersMolecular docking is a powerful computational method for studying the interactions between biomolecules. It is widely used in drug design, as well as predicting protein-protein and protein-nucleic acid interactions. High-throughput molecular docking has proven to be extremely useful in identifying novel bioactive compounds within large chemical libraries. Quantum mechanical-based molecular docking has gained attention for its ability to provide better accuracy compared to classical molecular mechanics methods. The AlteQ method, which calculates electron density using Slater's type atomic contributions, has been used to evaluate the quality of interactions in docking complexes. LeDock, DSX, and X-score have shown good performance in molecular docking, with the combination of LeDock and DSX or X-score improving prediction accuracy. A meta-docking approach that combines the results of multiple docking programs, such as AutoDock4.2, LeDock, and rDOCK, has shown superior performance in scoring, posing, and screening protein-ligand complexes.
What is best in docking number of hydrogen bond or binding affinity?5 answersDocking is a computational tool used to predict the binding affinity of a small ligand molecule to a target protein. Despite extensive research, improving the accuracy of binding affinity prediction has proven to be challenging. Several critical aspects need to be considered before reliable binding affinity prediction through docking is realistic. These include the role of solvent (water), the poor description of hydrogen bonding, and the lack of true system dynamics. Hydrogen bonds play a crucial role in regulating molecular interactions and can enhance receptor-ligand interactions when both the donor and acceptor have significantly stronger or weaker hydrogen bonding capabilities than water. However, mixed strong-weak hydrogen bond pairings can decrease ligand binding affinity due to interference with bulk water. The number of hydrogen bonds and their specific pairing mechanism can influence the docking preference and stability of complexes formed between ligands and target proteins.
What is de role of Gibbs free energy in Molecular Docking?2 answersGibbs free energy plays a crucial role in molecular docking. It is used to predict the activity of inhibitors and to design and screen anti-coronavirus drugs. In the case of protein folding, the native structure of a protein is determined by its minimum Gibbs free energy. The Gibbs free energy formula is derived using quantum statistics and can be used to explain the folding and denaturation of proteins. In the context of gaseous diatomic molecules, the molar Gibbs free energies can be predicted using an analytical model based on molecular constants. The availability of the Gibbs free energy calculation model has been verified by comparing the predicted values to experimental data. Overall, Gibbs free energy provides valuable insights for understanding the thermodynamics and kinetics of molecular interactions and can be used for structure prediction and drug design.