Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#Owing to rapid expansion of protein structure databases in recent years, methods of structure comparison are becoming increasingly effective and important in revealing novel information on functional properties of proteins and their roles in the grand scheme of evolutionary biology. Currently, the structural similarity beten two proteins is measured by the root-mean-square-deviation (RMSD) in their best-superimposed atomic coordinates. RMSD is the golden rule of measuring structural similarity when the structures are nearly identical; it, hover, fails to detect the higher order topological similarities in proteins evolved into different shapes.  propose new algorithms for extracting geometrical invariants of proteins that can be effectively used to identify homologous protein structures or topologies in order to quantify both close and remote structural similarities.
['Xiaobo Zhou', 'James J. Chou', 'Stephen T. C. Wong']
I am writing a research paper on a idea Protein structure similarity from principle component correlation analysis
[{"from": "human", "value": "I am writing a research paper on a idea Protein structure similarity from principle component correlation analysis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#Owing to rapid expansion of protein structure databases in recent years, methods of structure comparison are becoming increasingly effective and important in revealing novel information on functional properties of proteins and their roles in the grand scheme of evolutionary biology. Currently, the structural similarity beten two proteins is measured by the root-mean-square-deviation (RMSD) in their best-superimposed atomic coordinates. RMSD is the golden rule of measuring structural similarity when the structures are nearly identical; it, hover, fails to detect the higher order topological similarities in proteins evolved into different shapes.  propose new algorithms for extracting geometrical invariants of proteins that can be effectively used to identify homologous protein structures or topologies in order to quantify both close and remote structural similarities."}]