|dc.description.abstract||DNA-Binding proteins are associated with many cellular level functions which includes
but not limited to body’s defense mechanism and oxygen transportation. They bind
DNAs and interact with them. In the past DBPs were identified using experimental
lab based methods. But nowadays researchers use supervised learning to identify DBPs
solely from protein sequences.
At the time of writing this paper, to our knowledge, no approach has been taken to
apply deep learning in order to identify DBP. So we decided to try out to different
approach using deep learning to identify DNA-Binding proteins; DeepDBP(ANN) and
Both of our methods were able to produce state-of-the-art results.DeepDBP(ANN) had a
train accuracy of 99.02% and test accuracy of 82.80%.And DeepDBP(CNN) though had
train accuracy of 94.32%, it excelled at identifying test instances with 84.31% accuracy.
All the source codes and other resources including the datasets of DeepDBPcan be
found at https://github.com/antorkhan/deepdbp||en_US