TOPCONS-single consistently outperforms each of its underlying single sequence predictors when they are used on their own, which confirms the notion of consensus prediction adding value.
Aside that, the diversity of sequence predictors with different sequence property measure (sequence conservation, secondary structures, globularity, complexity) also allow for a multi-dimensional coverage of fold-critical residues.
Moreover, for MHC-II epitopes, we would need to define which core region would be located inside the cleft, and this is more difficult to define, even for sequence predictors.
These annotations are derived from the PDB/DSSP information for 6599 Pfam models with representative structures while the remaining (8232 Pfam models) are derived from the combination of sequence predictors : quality-score [ 20], PSIPred [ 21, 22], SEG [ 23] and GlobPlot [ 24].
This article presents the design of a sequence based predictor that aims to identify the sequence-specific and non-specific DNA-binding residues in a TF.
Both data sources provided cross-sectional data and therefore the temporal sequence between predictor (or exposure) variables and outcomes were unable to be determined.
This article presents the design of a sequence based predictor aiming to identify sequence-specific and non-specific binding residues in a transcription factor with DNA binding-mechanism concerned.
This article presents the design of a sequence based predictor for identifying the residues in a TF that are involved in both sequence-specific binding and non-specific binding with the DNA and the binding mode.
This article presents the design of a sequence based predictor aiming to identify the RNA-binding residues in a RNA-binding protein by machine learning and pattern mining approaches.
