The most recent methodology to calculate the NP-likeness was reported in the year 2021. It is based on the training of neural networks to produce molecular representations which are better suited for NPs. The NP-likeness score is extracted from the trained neural networks. On this approach, the neural network NPlikeness (N3PL) score values for the NPs are around ten and minus ten for SMs.