  Protein structure prediction is a challenging and unsolved problem in
computer science. Proteins are the sequence of amino acids connected together
by single peptide bond. The combinations of the twenty primary amino acids are
the constituents of all proteins. In-vitro laboratory methods used in this
problem are very time-consuming, cost-intensive, and failure-prone. Thus,
alternative computational methods come into play. The protein structure
prediction problem is to find the three-dimensional native structure of a
protein, from its amino acid sequence. The native structure of a protein has
the minimum free energy possible and arguably determines the function of the
protein. In this study, we present the preliminaries of proteins and their
structures, protein structure prediction problem, and protein models. We also
give a brief overview on experimental and computational methods used in protein
structure prediction. This study will provide a fundamental knowledge to the
computer scientists who are intending to pursue their future research on
protein structure prediction problem.

Computational Engineering, Finance, and Science;Biomolecules