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A comparative protein function analysis databaseof different Leishmania strains

A complete understanding of different protein functional families and template information opens new avenues for novel drug development. Protein identification and analysis software performs a central role in the investigation of proteins and leads to the development of refined database for descript...

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Detalles Bibliográficos
Autores principales: Dikhit, Manas Ranjan, Nathasharma, Yangya Prasad, Patel, Lelin, Rana, Sindhu Prava, Sahoo, Ganesh Chandra, Das, Pradeep
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3064847/
https://www.ncbi.nlm.nih.gov/pubmed/21464840
Descripción
Sumario:A complete understanding of different protein functional families and template information opens new avenues for novel drug development. Protein identification and analysis software performs a central role in the investigation of proteins and leads to the development of refined database for description of proteins of different Leishmania strains. There are certain databases for different strains that lack template information and functional family annotation. Rajendra Memorial Research Institute of Medical Sciences (RMRIMS) has developed a web-based unique database to provide information about functional families of different proteins and its template information in different Leishmania species. Based on the template information users can model the tertiary structure of protein. The database facilitates significant relationship between template information and possible protein functional families assigned to different proteins by SVMProt. This database is designed to provide comprehensive descriptions of certain important proteins found in four different species of Leishmania i.e. L. donovani, L. infantum, L. major and L. braziliensis. A specific characterization information table provides information related to species and specific functional families. This database aims to be a resource for scientists working on proteomics. The database is freely available at http://biomedinformri.org/calp/.