Structural Bioinformatics

Structural bioinformatics is an exceptionally cost-effective solution for protein structure determination. Purely computational prediction methods, like initially fragment assembly, advanced fold recognition, composite approaches, and molecular docking are regularly applied today to increase our understanding of protein structures. However, predicted structures aren't given an equivalent reliance as their experimental complements. Hybrid approaches are a way to beat these limitations; by incorporating limited experimental measurements, reliable structures are often computed, and unlikely predictions eliminated. Hybrid approaches cash in of knowledge derived from a good range of various biophysical and biochemical methods. These methods are of growing interest in current researches of structural biology.

  • Genome Mapping
  • Translational Medicine
  • Protein Modelling
  • Epigenomic data analysis
  • Computational Neuroscience
  • Mathematical Techniques

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