Computational Structural Biology

Computational biology develops and applies computational methods to assay large collections of biological data, like genetic sequences, protein samples and cell populations, to make new predictions.  Computational structural biology  deals with forming bio molecular sequence-structure-function relations using simulations of structure and dynamics and principles of physical sciences in theoretical models. Computational Biology also reports the computational challenges of investigational approaches in structural biology. Computational Structural includes the progress and use of data-analytical mathematical modeling, theoretical methods and computational simulation techniques to the study of biological and social systems. It appeared as a tool for efficient identification of structure and dynamics in many applications. Computational Structural Biology Mainly Focuses on the topics like protein folding, protein-protein, protein-ligand and protein-DNA interactions  protein dynamics and their functional implications. Its Major Applications include   Drug design and protein engineering . Computational structural biology deals with the study of bio molecular structure and dynamics by means of computational methods.

  • 7-1. Advances in computational biology
  • 7-2. Frontiers in computational biology
  • 7-3. Computational biophysics
  • 7-4. Computational molecular biology
  • 7-5. Transactions on computational systems biology
  • 7-6. Computational system biology of cancer

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