Development and experimental test of support vector machines virtual screening method for searching Src inhibitors from large compound libraries

Table 2 Performance of SVM for identifying Src inhibitors and non-inhibitors evaluated by 5-fold cross validation study

Cross - validation	Src inhibitors				Src non-inhibitors				Q	C
Cross - validation	No of training/ testing inhibitors	TP	FN	SE	No of training/testing non-inhibitors	TN	FP	SP	Q	C
1	1362/341	320	21	93.84%	50654/12664	12651	13	99.90%	99.74%	0.948
2	1362/341	324	17	95.01%	50654/12664	12650	14	99.89%	99.76%	0.953
3	1362/341	324	17	95.01%	50654/12664	12640	24	99.81%	99.68%	0.939
4	1363/340	318	22	93.53%	50655/12663	12642	21	99.83%	99.67%	0.935
5	1363/340	322	18	94.71%	50655/12663	12643	20	99.84%	99.71%	0.943
Average				94.42%				99.85%	99.71%	0.944
SD				0.0069				0.0004	0.0004	0.0072
SE				0.0031				0.0002	0.0002	0.0032

ISSN: 2661-801X