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Volume SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning. Jaspreet Singh , Jaspreet Singh. To whom correspondence should be addressed. Oxford Academic. Google Scholar. Thomas Litfin. Kuldip Paliwal. Jaswinder Singh. Anil Kumar Hanumanthappa. Yaoqi Zhou. All existing techniques can be classified into methods relying on single-sequence information and those relying on evolutionary sequence profiles generated from multiple-sequence alignments.
The methods based on sequence profiles are, in general, more accurate because the presence or absence of conserved amino acid residues in a protein sequence provides important information on the structural and functional roles of the residues.
However, the wide applicability of profile-based techniques is limited by time-consuming calculation of sequence profiles.
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