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
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Structural Bioinformatics Conference Speakers
Recommended Sessions
- 3-D Structure Determination
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