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In Silico Approach for Predicting Toxicity of Peptides and Proteins

Overview of attention for article published in PLOS ONE, September 2013
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Title
In Silico Approach for Predicting Toxicity of Peptides and Proteins
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0073957
Pubmed ID
Authors

Sudheer Gupta, Pallavi Kapoor, Kumardeep Chaudhary, Ankur Gautam, Rahul Kumar, Gajendra P. S. Raghava

Abstract

Over the past few decades, scientific research has been focused on developing peptide/protein-based therapies to treat various diseases. With the several advantages over small molecules, including high specificity, high penetration, ease of manufacturing, peptides have emerged as promising therapeutic molecules against many diseases. However, one of the bottlenecks in peptide/protein-based therapy is their toxicity. Therefore, in the present study, we developed in silico models for predicting toxicity of peptides and proteins.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,054 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%
Colombia 1 <1%
France 1 <1%
Unknown 1049 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 128 12%
Student > Ph. D. Student 121 11%
Student > Master 110 10%
Researcher 100 9%
Student > Doctoral Student 45 4%
Other 124 12%
Unknown 426 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 227 22%
Agricultural and Biological Sciences 133 13%
Immunology and Microbiology 37 4%
Chemistry 35 3%
Engineering 24 2%
Other 125 12%
Unknown 473 45%