Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This work presents a generalized approach for the fast structural alignment of thousands of macromolecular structures. The method uses string representations of a macro- molecular structure and a hash table that stores n-grams of a certain size for searching. To this end, macromolecular structure-to-string translators re implemented for protein and RNA structures. A query against the index is performed in two hierarchical steps to unite speed and precision. In the first step the query structure is translated into n-grams, and all target structures containing these n-grams are retrieved from the hash table. In the second step all corresponding n-grams of the query and each target structure are subsequently aligned, and after each alignment a score is calculated based on the matching n-grams of query and tar- get. The extendable framework enables the user to query and structurally align thousands of protein and RNA structures on a commodity machine and is available as open source from
['Raphael André Bauer', 'Kristian Rother', 'Peter Moor', 'Knut Reinert', 'Thomas Steinke', 'Janusz M. Bujnicki', 'Robert Preissner']
I am writing a research paper on a idea Fast Structural Alignment of Biomolecules Using a Hash Table, N-Grams and String Descriptors
[{"from": "human", "value": "I am writing a research paper on a idea Fast Structural Alignment of Biomolecules Using a Hash Table, N-Grams and String Descriptors"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This work presents a generalized approach for the fast structural alignment of thousands of macromolecular structures. The method uses string representations of a macro- molecular structure and a hash table that stores n-grams of a certain size for searching. To this end, macromolecular structure-to-string translators re implemented for protein and RNA structures. A query against the index is performed in two hierarchical steps to unite speed and precision. In the first step the query structure is translated into n-grams, and all target structures containing these n-grams are retrieved from the hash table. In the second step all corresponding n-grams of the query and each target structure are subsequently aligned, and after each alignment a score is calculated based on the matching n-grams of query and tar- get. The extendable framework enables the user to query and structurally align thousands of protein and RNA structures on a commodity machine and is available as open source from"}]