Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 14, August 2022

A Progress on Protein Structure Prediction using Various Soft Computing Techniques


Niharika Chaudhary and Sanjay Saini, Dayalbagh Educational Institute, India


In molecular and computational biology, predicting the three-dimensional structure of a protein from its amino acid sequence has long been an outstanding goal. Soft computing techniques for solving protein structure prediction problems have been gaining the attention of researchers because of their capacity to accommodate imprecision and uncertainty in vast and complicated search spaces. This paper provides a comprehensive overview of recent protein structure prediction efforts and progress using various soft computing techniques. This paper summarises key research in the field of protein structure prediction that has been published in the recent decade. Despite significant research efforts in recent decades, there is still a lot of room for improvement in this field.


Nature Inspired Computing, Swarm Intelligence, Deep Learning, Protein folding, Protein structure prediction.