Structural Bioinformatics
Structural bioinformatics is an exceptionally cost effective solution for protein structure determination. Purely computational prediction methods, like ab initio fragment assembly, advanced fold recognition, composite approaches, and molecular docking are regularly applied today to extend our understanding of protein structures. However, predicted structures are not given the same reliance as their experimental complements. Hybrid approaches are a means to overcome these limitations; by incorporating limited experimental measurements, reliable structures can be computed and unlikely predictions eliminated. Hybrid approaches take advantage of data derived from a wide range of different biophysical and biochemical methods. These methods are of growing interest in current researches of structural biology.
- Genome Mapping
- Translational Medicine
- Protein Modeling
- Epigenomic data analysis
- Computational Neuroscience
- Mathematical Techniques
Related Conference of Structural Bioinformatics
17th International Conference on Tissue Science and Regenerative Medicine
Structural Bioinformatics Conference Speakers
Recommended Sessions
- 3-D Structure Determination
- Advancements in structural Biology
- Biochemistry and Biophysics
- Computational Approach in Structural Biology
- Drug Designing and Biomarkers
- Frontiers in Structural Biology
- Gene regulation and Cell Signalling
- Hybrid Approaches in structure prediction
- Molecular Biology
- Molecular biology techniques
- Molecular Modelling and Dynamics
- Proteomics and Genomics
- Sequencing analysis
- Structural Bioinformatics
- Structural Biology
- Structural biology databases
- Structural Biology in Cancer Research
- Structural enzymology