کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2474011 1113107 2014 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of Kunitz ion channel effectors and protease inhibitors from the Ixodes ricinus sialome
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم دامی و جانورشناسی
پیش نمایش صفحه اول مقاله
Prediction of Kunitz ion channel effectors and protease inhibitors from the Ixodes ricinus sialome
چکیده انگلیسی

In the next generation sequencing era we are encountering hundreds of thousands of sequences from specific organisms. Such massive data must be accurately classified both functionally and structurally. Determining appropriate sequences with a specific function from next generation sequencing, however, is a daunting experimental task. A recent salivary gland transcriptome from the hard tick Ixodes ricinus, a European disease vector, has been made publicly available. Among the protein families sequenced by the salivary gland transcriptome of I. ricinus, the Kunitz-domain is one of the highly represented protein families. Thus far, recent tick transciptomes solely classify (computationally) Kunitz sequences as putative serine protease inhibitors. We present here a novel method using a machine-learning algorithm to “fish” for candidate ion-channel effectors and loss of serine protease inhibitor function within the Kunitz-domain protein family of the I. ricinus salivary gland transcriptome. The models, data and scripts used in this work are available online from http://life.bsc.es/pid/web/imoal/kunitz-classification.html.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ticks and Tick-borne Diseases - Volume 5, Issue 6, October 2014, Pages 947–950
نویسندگان
, ,