Selected article for: "cleavage site and signal peptide prediction"

Author: Kirillova, Svetlana; Kumar, Suresh; Carugo, Oliviero
Title: Protein Domain Boundary Predictions: A Structural Biology Perspective
  • Document date: 2009_1_21
  • ID: qrnhp1ek_1
    Snippet: Computational/mathematical approaches, such as structural bioinformatics [1] , structural class prediction [2, 3] , molecular docking [4] [5] [6] [7] [8] [9] , molecular packing [10, 11] , pharmacophore modelling [12] , Mote Carlo simulated annealing approach [13] , diffusion-controlled reaction simulation [14] , graph/diagram approach [15] [16] [17] [18] [19] [20] [21] , bio-macromolecular internal collective motion simulation [22] , QSAR [23] [.....
    Document: Computational/mathematical approaches, such as structural bioinformatics [1] , structural class prediction [2, 3] , molecular docking [4] [5] [6] [7] [8] [9] , molecular packing [10, 11] , pharmacophore modelling [12] , Mote Carlo simulated annealing approach [13] , diffusion-controlled reaction simulation [14] , graph/diagram approach [15] [16] [17] [18] [19] [20] [21] , bio-macromolecular internal collective motion simulation [22] , QSAR [23] [24] [25] , protein subcellular location prediction [26] [27] [28] [29] [30] , protein structural class prediction [31, 32] , identification of membrane proteins and their types [33] , identification of enzymes and their functional classes [34] , identification of proteases and their types [35] , protein cleavage site prediction [36] [37] [38] , and signal peptide prediction [39, 40] can timely provide very useful information and insights for both basic research and drug design and hence are widely welcome by science community.

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