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Designing of interferon-gamma inducing MHC class-II binders

Overview of attention for article published in Biology Direct, December 2013
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268 Mendeley
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Designing of interferon-gamma inducing MHC class-II binders
Published in
Biology Direct, December 2013
DOI 10.1186/1745-6150-8-30
Pubmed ID

Sandeep Kumar Dhanda, Pooja Vir, Gajendra PS Raghava


The generation of interferon-gamma (IFN-γ) by MHC class II activated CD4+ T helper cells play a substantial contribution in the control of infections such as caused by Mycobacterium tuberculosis. In the past, numerous methods have been developed for predicting MHC class II binders that can activate T-helper cells. Best of author's knowledge, no method has been developed so far that can predict the type of cytokine will be secreted by these MHC Class II binders or T-helper epitopes. In this study, an attempt has been made to predict the IFN-γ inducing peptides. The main dataset used in this study contains 3705 IFN-γ inducing and 6728 non-IFN-γ inducing MHC class II binders. Another dataset called IFNgOnly contains 4483 IFN-γ inducing epitopes and 2160 epitopes that induce other cytokine except IFN-γ. In addition we have alternate dataset that contains IFN-γ inducing and equal number of random peptides.

Mendeley readers

The data shown below were compiled from readership statistics for 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 <1%
United States 1 <1%
Unknown 265 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 42 16%
Researcher 36 13%
Student > Ph. D. Student 34 13%
Student > Master 34 13%
Student > Postgraduate 12 4%
Other 34 13%
Unknown 76 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 76 28%
Agricultural and Biological Sciences 32 12%
Immunology and Microbiology 23 9%
Engineering 7 3%
Unspecified 7 3%
Other 35 13%
Unknown 88 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 December 2013.
All research outputs
of 11,878,573 outputs
Outputs from Biology Direct
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Outputs of similar age
of 205,842 outputs
Outputs of similar age from Biology Direct
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Altmetric has tracked 11,878,573 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 551 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 205,842 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.