VaProS: a database-integration approach for protein/genome information retrieval

T. Gojobori, K. Ikeo, Y. Katayama, T. Kawabata, A.R. Kinjo, K. Kinoshita, Y. Kwon, O. Migita, H. Mizutani, M. Muraoka, K. Nagata, S. Omori, H. Sugawara, D. Yamada, K. Yura
Struct Funct Genomics, 1570-0267, (2016)

VaProS: a database-integration approach for protein/genome information retrieval


Big data analysis, Database integration, Lysosomal storage disease, Protein 3D structure


​Life science research now heavily relies on all sorts of databases for genome sequences, transcription, protein three-dimensional (3D) structures, protein–protein interactions, phenotypes and so forth. The knowledge accumulated by all the omics research is so vast that a computer-aided search of data is now a prerequisite for starting a new study. In addition, a combinatory search throughout these databases has a chance to extract new ideas and new hypotheses that can be examined by wet-lab experiments. By virtually integrating the related databases on the Internet, we have built a new web application that facilitates life science researchers for retrieving experts’ knowledge stored in the databases and for building a new hypothesis of the research target. This web application, named VaProS, puts stress on the interconnection between the functional information of genome sequences and protein 3D structures, such as structural effect of the gene mutation. In this manuscript, we present the notion of VaProS, the databases and tools that can be accessed without any knowledge of database locations and data formats, and the power of search exemplified in quest of the molecular mechanisms of lysosomal storage disease. VaProS can be freely accessed at


DOI: 10.1007/s10969-016-9211-3



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