Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing

Predicting ATP-Protein Binding sites in genes is of great significance in the field of Biology and Medicine. The majority of research in this field has been conducted through time- and resource-intensive 'wet experiments' in laboratories. Over the years, researchers have been investigating computational methods computational methods to accomplish the same goals, utilising the strength of advanced Deep Learning and NLP algorithms. In this paper, we propose to develop methods to classify ATP-Protein binding sites. We conducted various experiments mainly using …

and natural language processing biology computational cs.cl cs.lg deep learning genes language language processing medicine natural natural language natural language processing processing protein q-bio.bm research researchers significance through