Proteomics is the extensive investigation of proteins which has empowered the recognizable
proof of consistently expanding quantities of protein. Proteins are necessary part of living life …

In this review article, we explore the transformative impact of deep learning (DL) on
structural bioinformatics, emphasizing its pivotal role in a scientific revolution driven by …

The functional properties of proteins play a key job in numerous organic procedures. These
functional properties rely on the structure of the specific protein. Prediction of protein …

Big data is a term that refers to a set of data that, due to its largeness or complexity, cannot
be stored or processed with one of the usual tools or applications for data management, and …

Computational biology faces many challenges like protein secondary structure prediction
(PSS), prediction of solvent accessibility, etc. In this work, we addressed PSS prediction …

Determining protein structures plays an important role in the field of drug design. Currently,
the machine learning methods including artificial neural network (ANN) and support vector …

Proteins, as complex molecules, have a variety of tasks in living organisms. Proteins are
organic molecules made up of twenty amino acid combinations that perform diverse tasks …

The digital revolution has encouraged many companies to set up new strategic and
operational mechanisms to supervise the flow of information published about them on the …

Prediction of protein secondary structure plays a vital role in structural biology.
Computational methodology is the initial step in bioinformatics to predict the 3-D secondary …

Understanding of intermediate protein structure prediction serves as a crucial component to
find the function of residues of amino acid. In this paper, focus on the intermediate protein …