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PFINTDB: A Comprehensive Interactions Database for Annotated Gene and Protein Interactions for Plasmodium falciparum 3D7

Vishal Mevada and Rajesh Patel
Department of Life Sciences, Hemchandracharya North Gujarat University, Patan, India
Abstract—The diseases caused by protozoan parasite are responsible for considerable mortality and morbidity, affecting more than 500 million of people in the world. The drug resistance of Plasmodium falciparum was critical step in reduced efficacy of antimalarial drugs. High-throughput systems were generate enormous amount of data from various fields of biology. The integration of these data enables us to develop more efficient drugs. Systems biology seeks to understand function and proper guidance to the in vivo condition from complex biological systems through studying the interactions of their components. This process generate metabolic network model for Plasmodium falciparum 3D7. The literature data has been strengthen metabolic prediction. The database of Model organism provides efficient Search for any kind of Gene, Protein, Compound, Reaction and literatures. Along with that, the genome browser provides efficient retrieval of all these data from single platform. 

Index Terms—network model, systems biology, drug discovery, model organism database, plasmodium falciparum

Cite: Vishal Mevada and Rajesh Patel, "PFINTDB: A Comprehensive Interactions Database for Annotated Gene and Protein Interactions for Plasmodium falciparum 3D7," International Journal of Life Sciences Biotechnology and Pharma Research, Vol. 3, No. 3, pp. 98-108, July 2014.
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