Hybrid Approaches for Structure Prediction
Structural bioinformatics is a highly cost-efficient solution for accelerated determination of the three-dimensional structures of proteins. Purely computational prediction methods, such as advanced fold recognition, composite approaches, ab initio fragment assembly, and molecular docking are routinely applied today. Hybrid method combines information from a varied set of experimental and computational sources. Hybrid approaches helps to overcome these limitations by incorporating limited experimental measurements, reliable structural models can be computed and unlikely predictions eliminated. Hybrid approaches take advantage of data derived from a range of very different biochemical and biophysical methods.
Related Conference of Hybrid Approaches for Structure Prediction
May 15-16, 2023
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Hybrid Approaches for Structure Prediction Conference Speakers
Recommended Sessions
- Advances in Structural and Molecular Biology
- BIOINFORMATICS
- BLOTTING TECHNIQUES
- Computational Approaches in Structural Biology
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- DNA fingerprinting
- Drug Designing and Biomarkers
- GENE BANKS
- Genomics
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- PCR
- Proteomics
- Signaling Biology
- Structural Biology and the Evolution of Bio macromolecules
- Structural Biology in Cancer Therapeutics
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