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Publication for AFP-Pred
An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors
[…] the current method objectively, comparisons are carried out for AFP-Ensemble and previously-published methods on the independent testing dataset. reports the detailed prediction results obtained by AFP-Pred , AFP-PSSM , AFP-PseAAC  and AFP-Ensemble. AFP-Pred combines the predicted secondary structure information and physicochemical properties. AFP-PSSM is mainly based on the information ex […]
Microbial Consortium Associated with the Antarctic Marine Ciliate Euplotes focardii: An Investigation from Genomic Sequences
[…] Rhodobacteraceae bacterium HTCC2083  and one sequence sharing 45 % similarity to type II AFP from the catadromous fish Lates calcarifer . Finally, we performed a prediction of putative AFP using AFP-Pred and iAFP bioinformatic tool as described above. Following this approach, we found 2755 or 600 (using AFP-Pred respectively iAFP) contigs that potentially encode AFPs in Gammaproteobacteria, 2 […]
Bacterial Ice Crystal Controlling Proteins
[…] .With these similarities in mind, Doxey et al.  were able to develop a antifreeze prediction program, AFPredictor. Another prediction program by Kandaswamy and colleagues , the machine learning AFP-pred, shows some promise of detecting important antifreeze peptide features. However, using a training set of sequences consisting of hypothetical and unconfirmed antifreeze proteins indicates tha […]
Genome wide gene expression analysis of facultative reproductive diapause in the two spotted spider mite Tetranychus urticae
[…] n database of NCBI also hit to antifreeze proteins of Coleoptera with a low to moderate E-value (between 1e-02 and 1e-06). Furthermore, all members from this family were predicted as an insect AFP by AFP-Pred, a recently developed software tool using a “random forest” approach for the prediction of antifreeze proteins .Accordingly, we aligned and compared the T. urticae mite sequences with well- […]
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