Title

A comparative protein function analysis database of different Leishmania strains 

Authors

Manas Ranjan Dikhit, Yangya Prasad Nathasharma, Lelin Patel, Sindhu Prava Rana, Ganesh Chandra Sahoo*, Pradeep Das 

Affiliation

BioMedical Informatics Division, Rajendra Memorial Research Institute of Medical Sciences (RMRIMS), Agam kuan, Patna-800007, India 

Email

ganeshiitkgp@gmail.com; *Corresponding author

Phone

0612 -2631565

Fax

0612 -2634379

Article Type

Hypothesis

Date

Received July 26, 2010; Accepted August 26, 2010; Published March 02, 2011

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/.  

Keywords

Leishmania, database, protein function, functional family, CPL, Computational proteomics of Leishmania

Citation

Dikhit et al. Bioinformation 6(1): 20-22 (2011)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.