DeepDISE: DNA Binding Site Prediction Using a Deep Learning Method.

ABSTRACT: It is essential for future research to develop a new, reliable prediction method of DNA binding sites because DNA binding sites on DNA-binding proteins provide critical clues about protein function and drug discovery. However, the current prediction methods of DNA binding sites have relatively poor accuracy. Using 3D coordinates and the atom-type of surface protein atom as the input, we trained and tested a deep learning model to predict how likely a voxel on the protein surface is to be a DNA-binding site. Based on three different evaluation datasets, the results show that our model not only outperforms several previous methods on two commonly used datasets, but also demonstrates its robust performance to be consistent among the three datasets. The visualized prediction outcomes show that

SUBMITTER: Hendrix SG 

PROVIDER: S-EPMC8197219 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature