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. 2020 Dec 28;125(1):101–114. doi: 10.1021/acs.jpcb.0c09742

Table 3. Internal Validation Metrics Reported as TPR % and TNR % for Individual Systems in the Bound/Unbound Statesa.

 
original training set
extended training set
ML models TRAP1 complexes TPR % (state I) TNR % (state A) TPR % (state I) TNR % (state A)
GNB 5 71.4   49.8  
7 63.0   52.0  
6 61.2   62.1  
inhibitor-free (rep. 1–3)   69.9   75.1
inhibitor-free (rep.4–6)   84.5   80.3
inhibitor-free (rep.7–9)   90.0   80.2
KNB 5 70.9   78.3  
7 94.2   63.9  
6 66.6   68.8  
inhibitor-free (rep. 1–3)   70.1   69.5
inhibitor-free (rep.4–6)   89.6   83.4
inhibitor-free (rep.7–9)   82.9   78.4
GDF-SVM 5 92.5   90.9  
7 97.3   93.7  
6 95.4   91.3  
inhibitor-free (rep. 1–3)   95.7   92.7
inhibitor-free (rep.4–6)   98.4   96.7
inhibitor-free (rep.7–9)   92.5   89.7
a

Percentages are shown over chunks of 12 000 (original training set) or 18 000 (extended training set) frames. Models trained on the entire training set were used to make predictions.