A Proteochemometric modelling (PCM) Webserver for predicting the bioactivity between small compounds and tubulin receptors. This server uses a PCM-based Support Vector Machine (SVM) model to predict inhibitory activity of chemical compounds against tubilin proteins. The PCM model implemented on the server has been trained on a diverse dataset of 437 inhbitors of tubilin Protein and predict the bioactivity with AUC value of 0.87
Agyapong, O., Miller, W.A., Wilson, M.D. & Kwofie, S.K. (2021). Development of a proteochemometric-based support vector machine model for predicting bioactive molecules of tubulin receptors. Mol Divers (2021). https://doi.org/10.1007/s11030-021-10329-w