| Cell-PLoc: a package of web-servers for predicting subcellular localization of proteins in different organisms. |
| MemBrain: Improving the Accuracy of Predicting Transmembrane Helices. |
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| Signal-3L: a 3-layer approach for predicting signal peptides. |
| QuatIdent: identifying the quaternary structural attribute of a protein chain based on its sequence. |
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| HIVcleave: Predicting HIV protease cleavage sites in proteins. |
| Signal-CF: an automated 2-layer predictor for predicting signal peptide sequences and their cleavage sites in eukaryotic and bacterial protein sequences. |
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| Nuc-PLoc: a new web-server for predicting protein subnuclear localization by fusing PseAA and PsePSSM. |
| PFP-Pred: an on-line server for predicting protein fold types. |
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| PseAAC: an on-line server for computing pseudo amino acid compositions of protein sequences. |
| EzyPred: a top-down approach for predicting enzyme functional classes and sub-classes. |
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| ProtIdent: identifying proteases and their types by fusing functional domain and sequential evolution information. |
| MemType-2L: a web server for predicting membrane proteins and their types by incorporating evolution information. |
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| PFP-FunDSeqE: Predicting protein fold pattern with functional domain and sequential evolution information. |
| PredBF: Robust prediction of B-factor profile from sequence using two-stage SVR based on random forest feature selection. |
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| Pred-PFR: Prediction of protein folding rates from primary sequence by fusing multiple sequential features. |
| Cell-PLoc 2.0: a package of web-servers for predicting subcellular localization of proteins in different organisms. |
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| LR_PPI: large-scale prediction of human protein-protein interaction from amino acid sequence based on latent topic feature. |
| Cascleave: towards more accurate prediction of caspase substrate cleavage sites. |
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| SOMPNN: an efficient non-parametric model for predicting transmembrane helices. |
| PredCSF: an integrated feature-based approach for predicting conotoxin superfamily. |
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| SOMRuler: a novel human-readable interpretable transmembrane helices predictor. |
| LnSignal: Predicting protein N-terminal signal peptides using position-specific amino acid propensities and conditional random fields. |
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| GFO: a data driven approach for optimizing Gaussian function based similarity metric in computational biology. |
| TargetATP: A Knowledge based Java Web Start Application for Predicting Protein-ATP Binding Sites. |
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| TargetATPsite: A template-free method for ATP binding sites prediction with residue evolution image sparse representation and classifier ensemble. |
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