chapter  13
16 Pages

Role of Databases in Biological Data Analysis

ByRajeev Singh, Anamika Singh

Abstract ................................................................................................. 196 13.1 Introduction ................................................................................ 196 13.3 Sequence Analysis of DNA/RNA .............................................. 197 13.4 Virtual Screening for Novel Drug Molecules ............................ 198 13.5 QSAR-Based Drug Designing ................................................... 199 13.6 Docking between Recptor and Drug/Protein ............................. 200 13.7 Protein-Ligand Docking ............................................................ 201 13.8 Macromolecular Docking or Protein-Protein Docking ............. 202 13.9 Supercomputing in Microarray Data Analysis ........................... 203 13.10 Applications of DNA Microarray Technology ......................... 204 13.11 Projects-Based Immunological Databases ............................... 205 13.12 Conclusion ............................................................................... 205 Keywords .............................................................................................. 206 References ............................................................................................. 206

ABSTRACT

Bioinformatics is nowadays expanding itself, especially in the field of medical sciences. Due to involvement of effective and client friendly component, that is, computers rapid data analysis can be done with in a short duration of time. It helps to identify the disease and its cure on the basis of studies focuses to sequence analysis, sequencing, structure prediction, microarray data analysis, genomics, proteomics, metabolomics, etc. Structure-based drug design is one of the major areas of research based on computational analysis and interaction between protein (receptor) and ligand. In spite of that databases are the most important component of bioinformatics, which helps in data analysis, new lead designing, potent receptor identification, epitiope designing, etc. Immunological databases are the collection of information in a sequential and tabular manner, which help a user to access and retrieve the data related to immunology. These databases are growing day by day as the information related to disease is expanding tremendously.