Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With the overwhelming amount of biological knowledge stored in free text, natural language processing (NLP) has received much attention recently to make the task of managing information recorded in free text more feasible. One requirement for most NLP systems is the ability to accurately recognize biological entity terms in free text and the ability to map these terms to corresponding records in databases. Such task is called biological named entity tagging. ,  present a system that automatically constructs a protein entity dictionary, which contains gene or protein names associated with UniProt identifiers using online resources. The system can run periodically to always keep up-to-date with these online resources. Using online resources that re available on Dec. 25, 2004,  obtained 4,046,733 terms for 1,640,082 entities. The dictionary can be accessed from the following bsite: http://biocreative.ifsm.umbc.edu/biothesaurus/.
['Hongfang Liu', 'Zhang-Zhi Hu', 'Cathy H. Wu']
I am writing a research paper on a idea Dynamically Generating a Protein Entity Dictionary Using Online Resources
[{"from": "human", "value": "I am writing a research paper on a idea Dynamically Generating a Protein Entity Dictionary Using Online Resources"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With the overwhelming amount of biological knowledge stored in free text, natural language processing (NLP) has received much attention recently to make the task of managing information recorded in free text more feasible. One requirement for most NLP systems is the ability to accurately recognize biological entity terms in free text and the ability to map these terms to corresponding records in databases. Such task is called biological named entity tagging. ,  present a system that automatically constructs a protein entity dictionary, which contains gene or protein names associated with UniProt identifiers using online resources. The system can run periodically to always keep up-to-date with these online resources. Using online resources that re available on Dec. 25, 2004,  obtained 4,046,733 terms for 1,640,082 entities. The dictionary can be accessed from the following bsite: http://biocreative.ifsm.umbc.edu/biothesaurus/."}]