Hybrid Approaches for Structure Prediction
Hybrid Approaches for Structure Prediction
Structural bioinformatics is the special practical result for protein structure determination. Structural Bioinformatics is an interdisciplinary field that deals with the three-dimensional structures of biomolecules. It attempts to model and discover the basic principles underlying biological machinery at the molecular level. It is based on the hypothesis that 3D structural information of a biological system is the basic to understanding its mechanism of action and function. Structural bioinformatics combines applications of physical and chemical principles with algorithms from computational science. Major areas protein and nucleic acid 3D structure determination, prediction of protein 3D structure from sequence, protein structure validation protein structure comparison and alignment, protein and nucleic acid structure classification inferring protein function from structure, prediction of protein-ligand interaction, prediction of protein-protein interactions, development of databases.
- Hybrid of experimental methods
- NMR structures
- Hybrid of computational methods
- Determining protein complex structures
- Bottom-up integration of atomic detail crystallography
- Hybrid approaches in complementing high-resolution structural biology
Related Conference of Hybrid Approaches for Structure Prediction
17th International Conference on Tissue Science and Regenerative Medicine
Hybrid Approaches for Structure Prediction Conference Speakers
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