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2篇 您的检索式:作者名="G.P.S. Raghava"
    题名 作者 年代 出处 被引量
1Tumor Homing Peptides as Molecular Probes for Cancer Therapeutics, Diagnostics and Theranostics显示文摘A. Gautam P. Kapoor K. Chaudhary R. Kumar Open Source Drug Discovery Consortium G.P.S. Raghava 2014Current Medicinal Chemistry2014,,21:1
2VICMpred: An SVM-based Method for the Prediction of Functional Proteins of Gram-negative Bacteria Using Amino Acid Patterns and Composition显示文摘In this study, an attempt has been made to predict the major functions of gram- negative bacterial proteins from their amino acid sequences. The dataset used for training and testing consists of 670 non-redundant gram-negative bacterial proteins (255 of cellular process, 60 of information molecules, 285 of metabolism, and 70 of virulence factors). First we developed an SVM-based method using amino acid and dipeptide composition and achieved the overall accuracy of 52.39% and 47.01%, re- spectively. We introduced a new concept for the classification of proteins based on tetrapeptides, in which we identified the unique tetrapeptides significantly found in a class of proteins. These tetrapeptides were used as the input feature for predict- ing the function of a protein and achieved the overall accuracy of 68.66%. We also developed a hybrid method in which the tetrapeptide information was used with amino acid composition and achieved the overall accuracy of 70.75%. A five-fold cross validation was used to evaluate the performance of these methods. The web server VICMpred has been developed for predicting the function of gram-negative bacterial proteins (http://gffzz8ad4044adc1743ach669vbbxvu9o56buk.ffgz.tsg.suse.edu.cn/raghava/vicmpred/).Sudipto Saha G.P.S. Raghava 2006Genomics, Proteomics & Bioinformatics2006,4,1:1
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