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BioRender Template
Natural language processing approach to extract compound information from PubChem
Creator
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Description
PubChem is one of the largest and most comprehensive databases of its kind, containing information on millions of chemical compounds, including their structures, properties, and biological activities. NLP plays a significant role in extracting compound information from PubChem by enabling the processing of unstructured and semi-structured text data, and by allowing for the identification of chemical compound names and the extraction of relevant information from text data.
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