Extraction and Visualization of a Molecular Pathway Using Natural Language Processing System

In recent year Natural Language Processing (shortly NLP) is a very attractive method of human-computer interaction. The importance of extracting biomedical information from scientific publications is well recognized. A number of information extraction systems in the biomedical domain. In this paper present extraction, visualization and analysis the present in the biomedical system. We present GENIES, that extracts and structures information about cellular pathways from the biological literature in accordance with a knowledge We implemented GENIES by modifying an existing medical natural language processing system, MedLEE and performed a preliminary evaluation study. Our results demonstrate the value of the underlying techniques for the purpose of acquiring valuable knowledge from biological journals.