Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#The present knowledge of protein structures at atomic level derives from some 60,000 molecules. Yet the exponential ever growing set of hypothetical protein sequences comprises some 10 million chains and this makes the problem of protein structure prediction one of the challenging goals of bioinformatics. In this context, the protein representation with contact maps is an intermediate step of fold recognition and constitutes the input of contact map predictors. Hover contact map representations require fast and reliable methods to reconstruct the specific folding of the protein backbone.
['Marco Vassura', 'Pietro Di Lena', 'Luciano Margara', 'Maria Mirto', 'Giovanni Aloisio', 'Piero Fariselli', 'Rita Casadio']
I am writing a research paper on a idea Blurring contact maps of thousands of proteins: what we can learn by reconstructing 3D structure
[{"from": "human", "value": "I am writing a research paper on a idea Blurring contact maps of thousands of proteins: what we can learn by reconstructing 3D structure"}, {"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#The present knowledge of protein structures at atomic level derives from some 60,000 molecules. Yet the exponential ever growing set of hypothetical protein sequences comprises some 10 million chains and this makes the problem of protein structure prediction one of the challenging goals of bioinformatics. In this context, the protein representation with contact maps is an intermediate step of fold recognition and constitutes the input of contact map predictors. Hover contact map representations require fast and reliable methods to reconstruct the specific folding of the protein backbone."}]