Computational Approaches in Structural Biology
Computational Biology includes most of the aspects bioinformatics. It is the science of using biological data to develop algorithms or models to understand among various biological systems and relationships. There are approximately more than 3.3 million sequences without structure. This gap in the structural knowledge can be bridged by computation. Computational biology has become an important part of developing emerging technologies for the field of biology. Identification of suitable template of the related protein family plays a major role. Computational structural biology or structural bioinformatics is concerned with the analysis, simulation and prediction of the structure, dynamics and interactions of large biomolecules such as proteins, DNA and RNA. Such systems push the limits of our understanding and the limits of computing power.
Related Conference of Computational Approaches in Structural Biology
17th International Conference on Tissue Science and Regenerative Medicine
Computational Approaches in Structural Biology Conference Speakers
Recommended Sessions
- Advances in Structural and Molecular Biology
- BIOINFORMATICS
- BLOTTING TECHNIQUES
- Computational Approaches in Structural Biology
- DNA & RNA
- DNA fingerprinting
- Drug Designing and Biomarkers
- GENE BANKS
- Genomics
- Hybrid Approaches for Structure Prediction
- PCR
- Proteomics
- Signaling Biology
- Structural Biology and the Evolution of Bio macromolecules
- Structural Biology in Cancer Therapeutics
- VECTORS