A Survey on Protein-Protein Interaction Network Methods and Challenges
Keywords:
In bioinformatics and protein-protein interaction, machine learning, deep learning, 3D visualisation, proteins, network design, and protein-protein interactionsAbstract
Biological processes may be studied using a bioinformatics system. When it comes to illness detection
and analysis, bioinformatics is the most important field. An analysis of the structure of a protein
sequence and its visualisation in 3D structure is done using PPI (Protein Protein Interactions). The
identification of cancer-causing proteins via the PPI network has been studied using a variety of
methods. For the development of drugs for a specific human ailment, protein interactions in Human
Interaction Networks are employed. When analysing enormous datasets, there are several benefits and
downsides to using various methodologies. As a consequence, we obtain varied analyses and outcomes.
To incorporate multiple machine learning and deep learning approaches as well as 3D visualisation in
data modelling and analysis, it is employed for feature directions. Different techniques of analysis have
been examined here for potential future approaches.
