Bioinformatics Techniques for Drug Discovery Applications for Complex Diseases

The application of bioinformatics approaches in drug design involves an interdisciplinary array of sophisticated techniques and software tools to elucidate hidden or complex biological data. This work reviews the latest bioinformatics approaches used for drug discovery. The text covers ligand-based and structure-based approaches for computer-aided drug design, 3D pharmacophore modeling, molecular dynamics simulation, the thermodynamics of ligand-receptor and ligand-enzyme association, thermodynamic characterization and optimization, and techniques for computational genomics and proteomics.

Brief Introduction

Ligand-Based Approaches for Drug Design Using Computational Techniques

Structure-Based Approaches for Drug Design Using Computational Technique

Three-Dimensional Pharmacophore Modeling-Based Drug Design Using Computational Techniques

Molecular Dynamics Simulation Approaches to Investigate the Dynamic Behavior of a System Through the Application of Newtonian Mechanics

Receptor Thermodynamics of Ligand-Receptor and Ligand-Enzyme Association

Thermodynamics Cycles and Their Application in Protein Targets

Genomics and Proteomics Using Computational Biology