کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6484140 1416072 2018 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Virus-human protein-protein interaction prediction using Bayesian matrix factorization and projection techniques
ترجمه فارسی عنوان
پیش بینی تعامل پروتئین و پروتئین ویروس با انسان با استفاده از تکنیک های فاکتور سازی ماتریس بیزی و تکنیک های طرح ریزی
کلمات کلیدی
بیوانفورماتیک، پروتئین تعامل پروتئین، تعامل میزبان پاتوژن، پیش بینی تعامل، طرح ریزی کرنل،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
چکیده انگلیسی
Pathogens infect host organisms by exploiting host cellular mechanisms and evading host defence mechanisms through molecular pathogen-host interactions (PHIs). Discovering new interactions between pathogen and human proteins is very crucial in understanding the infection mechanisms. By analysing interaction networks, the interactions responsible for infectious diseases can be detected and new drugs disabling these interactions can be delivered. In this paper, we propose a method based on Bayesian matrix factorization for predicting PHIs along with a projection-based technique and combine the results by employing an ensemble method. Furthermore, two features, target similarity and attacker similarity, are utilized for the first time in the literature for PHI prediction. The advantages of the proposed methods are two folds. Firstly, they relieve the need for negative samples which is significant since there is no available dataset providing negative samples for most of the pathogenic systems. Secondly, the experiments demonstrate that the proposed approach outperforms state-of-the-art methods; roughly 20% of top 50 predictions are among recently validated interactions. So, the search space for wet-lab experiments to obtain validated interactions can be considerably narrowed down from a huge number of possible interactions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biocybernetics and Biomedical Engineering - Volume 38, Issue 3, 2018, Pages 574-585
نویسندگان
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