Close
Help
Need Help?





JOURNAL

Bioinformatics and Biology Insights

645,314 Journal Article Views | Journal Analytics

Association of Putative Members to Family of Mosquito Odorant Binding Proteins: Scoring Scheme Using Fuzzy Functional Templates and Cys Residue Positions

Submit a Paper



Publication Date: 22 Jul 2013

Type: Original Research

Journal: Bioinformatics and Biology Insights

Citation: Bioinformatics and Biology Insights 2013:7 231-251

doi: 10.4137/BBI.S11096

Abstract

Proteins may be related to each other very specifically as homologous subfamilies. Proteins can also be related to diverse proteins at the super family level. It has become highly important to characterize the existing sequence databases by their signatures to facilitate the function annotation of newly added sequences. The algorithm described here uses a scheme for the classification of odorant binding proteins on the basis of functional residues and Cys-pairing. The cysteine-based scoring scheme not only helps in unambiguously identifying families like odorant binding proteins (OBPs), but also aids in their classification at the subfamily level with reliable accuracy. The algorithm was also applied to yet another cysteine-rich family, where similar accuracy was observed that ensures the application of the protocol to other families.



Downloads

PDF  (7.42 MB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

BibTex citation   (BIBDESK, LATEX)

XML






What Your Colleagues Say About Bioinformatics and Biology Insights
testimonial_image
We found Bioinformatics and Biology insights very supportive and quick in guiding us in submitting our manuscript.  The review of the manuscript was also very prompt.  We also found that the review was fair and prompt and that was the most important thing for us. It was a very interesting experience for us. We also liked the video abstract service, which is very novel and encouraging for authors.
Dr S. Krishnakumar (Vision Research Foundation, India)
More Testimonials

Quick Links




Follow Us We make it easy to find new research papers.




SUBJECT HUBS
Author Survey Results
author_survey_results
All authors are surveyed after their articles are published. Authors are asked to rate their experience in a variety of areas, and their responses help us to monitor our performance. Presented here are their responses in some key areas. No 'poor' or 'very poor' responses were received; these are represented in the 'other' category.
See Our Results