کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4752628 1416278 2017 26 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Drug-target interaction prediction by integrating multiview network data
ترجمه فارسی عنوان
پیش بینی متقابل مواد مخدر با ادغام داده های شبکه چند رسانه ای
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
چکیده انگلیسی
In this paper, a multiview DTI prediction method based on clustering is proposed. We first introduce a model for single view drug-target data. The model is formulated as an optimization problem, which aims to identify the clusters in both drug similarity network and target protein similarity network, and at the same time make the clusters with more known DTIs be connected together. Then the model is extended to multiview network data by maximizing the consistency of the clusters in each view. An approximation method is proposed to solve the optimization problem. We apply the proposed algorithms to two views of data. Comparisons with some existing algorithms show that the multiview DTI prediction algorithm can produce more accurate predictions. For the considered data set, we finally predict 54 possible DTIs. From the similarity analysis of the drugs/targets, enrichment analysis of DTIs and genes in each cluster, it is shown that the predicted DTIs have a high possibility to be true.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Biology and Chemistry - Volume 69, August 2017, Pages 185-193
نویسندگان
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