Results of the testing of ANCHOR on the three testing datasets. TPRAA denotes the ratio of correctly identified amino acids belonging to binding sites. TPRSEG denotes the ratio of binding sites found
We propose a method based on neural networks to accurately predict hydration sites in proteins. In our approach, high-quality data of protein structures are used to parametrize our neural network mode
While much has been devoted to the study of transport mechanisms through the nuclear pore complex (NPC), the specifics of interactions and binding between export transport receptors and the NPC periph