Reconstruction a Protein 3D Structure From It Contact Map: Tools Comparison

Reconstruction a protein 3D structure using its contact map is not less than revolutionizes molecular biology. Recently, there are many research efforts that provide guidelines for protein contact map prediction; these efforts used machine learning approaches such as neural network and distance geometric. One of the approaches to help biologists is applying a software technique. As the consequence there are many categories of tools that have been developed to incorporate this technique. This paper analyses several predicting protein 3D structure tools. These tools are built to help to understand and predict a protein 3D structure. The paper briefly discusses the advantages of these tools; it also, gives the disadvantages of the existing tools, and, finally, talks about the proposed reconstructing a protein 3D tool.