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Profile conditional random fields for modeling protein families with structural information
sequence analysis structure prediction fold recognition dynamic programming mean field approximation
2010/12/2
A statistical model of protein families, called profile conditional random fields (CRFs), is proposed. This model may be regarded as an integration of the profile hidden Markov model (HMM) and the Fin...
Predicting secondary structures, contact numbers, and residue-wise contact orders of native protein structures from amino acid sequences using critical random networks
protein structure prediction one-dimensional structure position-specific scoring matrix critical random network
2010/12/2
Predictions of one-dimensional protein structures such as secondary structures and contact numbers are useful for predicting three-dimensional structure and important for understanding the sequence-st...