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.
- NMR structures
- Hybrid of experimental methods
- Hybrid of experimental methods
Related Conference of Hybrid Approaches for Structure Prediction
April 12-13, 2021
14th International Conference on Proteomics, Genomics & Bioinformatics
Paris, France
Hybrid Approaches for Structure Prediction Conference Speakers
Recommended Sessions
- 3D Structure Determination
- Complexity Arenas of Structural Biology
- Computational Approaches in Structural Biology
- Drug Designing and Biomarkers
- Frontiers in Structural Biology
- Hybrid Approaches for Structure Prediction
- Molecular Biology Applications
- Molecular Biology Techniques
- Molecular Modeling and Dynamics
- Proteomics and Genomics
- Sequencing
- Signaling Biology Biomarkers
- Structural Biochemistry and Single Molecules
- Structural Biology in Cancer Therapeutics
- Structural Molecular Biology and Enzymology
- Structural Virology
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