Download secondary structure of protein9/10/2023 ![]() ![]() Seeliger D, De Groot BL (2010) Conformational transitions upon ligand binding: Holo-structure prediction from apo conformations. Ĭalligari PA, Kneller GR (2012) ScrewFit: combining localization and description of protein secondary structure. Pirovano W, Heringa J (2010) Protein secondary structure prediction. Perticaroli S, Nickels JD, Ehlers G, Sokolov AP (2014) Rigidity, secondary structure, and the universality of the boson peak in proteins. ![]() Nickels JD, Perticaroli S, O’Neill H, Zhang Q, Ehlers G, Sokolov AP (2013) Coherent neutron scattering and collective dynamics in the protein. Perticaroli S, Nickels JD, Ehlers G, O’Neill H, Zhang Q, Sokolov AP (2013) Secondary structure and rigidity in model proteins. The identification of lower peptides from partial hydrolysates. Sanger F, Tuppy H (1951) The amino-acid sequence in the phenylalanyl chain of insulin. īrocchieri L, Karlin S (2005) Protein length in eukaryotic and prokaryotic proteomes. Venkatesan A, Gopal J, Candavelou M, Gollapalli S, Karthikeyan K (2013) Computational approach for protein structure prediction. Optimization of each method is discussed here including their major significances along with the challenges. ![]() In this chapter, we are presenting the different computational methods for prediction of the protein structure and their use in drug discovery. ![]() These mentioned computational approaches are also utilized for designing 3D structure-based drug which is used in health care. These tools determine the molecular structure of proteins from electron microscopy, spectroscopy, nuclear magnetic resonance (NMR), X-ray diffraction measurements, etc. These approaches help to predict the protein side chain, protein structural sequential alignment, protein folding as well as three-dimensional protein structure. The advanced tools for computational method are majorly classified into comparative modelling, fold recognition and ab initio techniques. This work represents the prediction of protein structures through computational approaches. ![]()
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