Predicts protein backbone angles and assignments of chemical shifts using a DB of known structures and shifts
DANGLE (Dihedral ANgles from Global Likelihood Estimates) predicts protein backbone φ and ψ angles and secondary structure assignments solely from amino acid sequence information, experimental chemical shifts and a database of known protein structures and their associated shifts. This new approach uses Bayesian inferential logic to analyse the likelihood of conformations throughout Ramachandran space, paying explicit attention to the population distributions expected for different amino acid residue types.
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