Computational Approach in Structural Biology
Computational approaches in structural biology involve the use of algorithms, simulations, and modeling tools to predict, analyze, and visualize the structures and dynamics of biomolecules. These methods complement experimental techniques by enabling researchers to study large complexes, dynamic interactions, and difficult-to-crystallize proteins. Key tools include molecular dynamics simulations, protein-protein docking, homology modeling, and AI-based structure prediction. Their importance lies in accelerating discoveries, reducing experimental costs, guiding drug design, and offering insights into biological mechanisms that are otherwise hard to capture in the lab.
Related Conference of Computational Approach in Structural Biology
17th International Conference on Tissue Science and Regenerative Medicine
Computational Approach in Structural Biology Conference Speakers
Recommended Sessions
- 3D Structure Determination
- Advanced Techniques in Structural Biology
- AI & Computational Structural Biology
- Biochemistry and Biophysics
- Computational Approach in Structural Biology
- Drug Designing and Biomarkers
- Hybrid Approaches for Structure Prediction
- Membrane Proteins and Receptors
- Molecular Modelling and Dynamics
- Proteomics and Genomics
- Structural Bioinformatics and Computational Biology
- Structural Biology in Cancer Research
- Structural Virology
- Structural Virology and Infectious Diseases
- Structure-Based Drug Discovery
- Structure-Based Solutions to Global Health Challenges
- Structure-Function Relationships
- The Structural Basis of Disease