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Table 3 Comparison of VIRsiRNApred with existing siRNA efficacy prediction algorithms developed using heterogeneous siRNA dataset

From: VIRsiRNApred: a web server for predicting inhibition efficacy of siRNAs targeting human viruses

S.no Reference Url Technique siRNA data set Pearson correlation coefficient*
Train1 Val2 V345#
1 [34] NA GPBoost, SVM 581   0.46 0.40 Server not available
2 [37] NA ANN 653 0.55 0.50 Server not available
3 [32] http://biodev.extra.cea.fr/DSIR/DSIR.html linear 653 0.48 0.44 Server not working
4 [36] NA linear 526 0.55 0.52 Server not available
5 [38] http://www.med.nagoya-u.ac.jp/neurogenetics/i_Score/i_score.html linear 419 0.51 0.44 Server not working
6 [46] http://www.imtech.res.in/raghava/sirnapred SVM 581 0.56 0.47 0.10
7 VIRsiRNApred http://crdd.osdd.net/servers/virsirnapred/ SVM 1380   0.58 0.55 0.55
  1. *Pearson Correlation Coefficient (PCC) is the correlation between experimental and predicted viral siRNA efficacy.
  2. 1Performance on n-fold training dataset of the study.
  3. 2Performance on validation data set of the study.
  4. #V345 is the validation dataset of experimental viral siRNA. Algorithms from S.No. 1-6 used mammalian heterogeneous siRNA datasets while S.No. 7 used experimental viral siRNA dataset.