Sökning: "interaction free energy"
Visar resultat 6 - 10 av 187 avhandlingar innehållade orden interaction free energy.
6. Free-energy studies of ligand-binding affinities
Sammanfattning : In drug discovery, it is of utmost importance to accurately calculate the free energies of binding ligands to various protein targets, such as enzymes and receptors. We have assessed and used computational tools for this aim, most of them based on molecular dynamics (MD) simulations. LÄS MER
7. Challenges in Computational Biochemistry: Solvation and Ligand Binding
Sammanfattning : Accurate calculations of free energies for molecular association and solvation are important for the understanding of biochemical processes, and are useful in many pharmaceutical applications. In this thesis, molecular dynamics (MD) simulations are used to calculate thermodynamic properties for solvation and ligand binding. LÄS MER
8. Computational Modelling of Ligand Complexes with G-Protein Coupled Receptors, Ion Channels and Enzymes
Sammanfattning : Accurate predictions of binding free energies from computer simulations are an invaluable resource for understanding biochemical processes and drug action. The primary aim of the work described in the thesis was to predict and understand ligand binding to several proteins of major pharmaceutical importance using computational methods. LÄS MER
9. Computational Methods for Calculation of Ligand-Receptor Binding Affinities Involving Protein and Nucleic Acid Complexes
Sammanfattning : The ability to accurately predict binding free energies from computer simulations is an invaluable resource in understanding biochemical processes and drug action. Several methods based on microscopic molecular dynamics simulations exist, and in this thesis the validation, application, and development of the linear interaction energy (LIE) method is presented. LÄS MER
10. Advances in Ligand Binding Predictions using Molecular Dynamics Simulations
Sammanfattning : Biochemical processes all involve associations and dissociations of chemical entities. Understanding these is of substantial importance for many modern pharmaceutical applications. In this thesis, longstanding problems with regard to ligand binding are treated with computational methods, applied to proteins of key pharmaceutical importance. LÄS MER