Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary:  developed a b server PSLpred for predicting subcellular localization of gram-negative bacterial proteins with an overall accuracy of 91.2%. PSLpred is a hybrid approach-based method that integrates PSI-BLAST and three SVM modules based on compositions of residues, dipeptides and physico-chemical properties. The prediction accuracies of 90.7, 86.8, 90.3, 95.2 and 90.6% re attained for cytoplasmic, extracellular, inner-membrane, outer-membrane and periplasmic proteins, respectively. Furthermore, PSLpred was able to predict ∼74% of sequences with an average prediction accuracy of 98% at RI = 5.#R##N##R##N#Availability: PSLpred is available at http://www.imtech.res.in/raghava/pslpred/#R##N##R##N#Contact: raghava@imtech.res.in#R##N##R##N#Supplementary information: http://www.imtech.res.in/raghava/pslpred/supl.html
['Manoj Bhasin', 'Aarti Garg', 'G. P. S. Raghava']
I am writing a research paper on a idea PSLpred: prediction of subcellular localization of bacterial proteins
[{"from": "human", "value": "I am writing a research paper on a idea PSLpred: prediction of subcellular localization of bacterial proteins"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary:  developed a b server PSLpred for predicting subcellular localization of gram-negative bacterial proteins with an overall accuracy of 91.2%. PSLpred is a hybrid approach-based method that integrates PSI-BLAST and three SVM modules based on compositions of residues, dipeptides and physico-chemical properties. The prediction accuracies of 90.7, 86.8, 90.3, 95.2 and 90.6% re attained for cytoplasmic, extracellular, inner-membrane, outer-membrane and periplasmic proteins, respectively. Furthermore, PSLpred was able to predict \u223c74% of sequences with an average prediction accuracy of 98% at RI = 5.#R##N##R##N#Availability: PSLpred is available at http://www.imtech.res.in/raghava/pslpred/#R##N##R##N#Contact: raghava@imtech.res.in#R##N##R##N#Supplementary information: http://www.imtech.res.in/raghava/pslpred/supl.html"}]