چاپ صفحه |  صفحه نخست سامانه |  چکیده مقاله |  نویسندگان |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده ثبت کننده مقاله | علی اکبر جمالی بیرامی |
| مرحله جاری مقاله | تایید نهایی |
| دانشکده/مرکز مربوطه | مرکز تحقیقات ریز فناوری دارویی |
| کد مقاله | 57916 |
| عنوان فارسی مقاله | DrugMiner: comparative analysis of machine learning algorithms for prediction of potential druggable proteins |
| عنوان لاتین مقاله | DrugMiner: comparative analysis of machine learning algorithms for prediction of potential druggable proteins |
| ناشر | 6 |
| آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ | خیر |
| عنوان نشریه (خارج از لیست فوق) | |
| نوع مقاله | Original Article |
| نحوه ایندکس شدن مقاله | ایندکس شده سطح یک – ISI - Web of Science |
| آدرس لینک مقاله/ همایش در شبکه اینترنت | http://www.sciencedirect.com/science/article/pii/S1359644616000271 |
| Application of computational methods in drug discovery has received increased attention in recent years as a way to accelerate drug target prediction. Based on 443 sequence-derived protein features, we applied the most commonly used machine learning methods to predict whether a protein is druggable as well as to opt for superior algorithm in this task. In addition, feature selection procedures were used to provide the best performance of each classifier according to the optimum number of features. When run on all features, Neural Network was the best classifier, with 89.98% accuracy, based on a k-fold cross-validation test. Among all the algorithms applied, the optimum number of most-relevant features was 130, according to the Support Vector Machine-Feature Selection (SVM-FS) algorithm. This study resulted in the discovery of new drug target which potentially can be employed in cell signaling pathways, gene expression, and signal transduction. The DrugMiner web tool was developed based on the findings of this study to provide researchers with the ability to predict druggable proteins. DrugMiner is freely available at www.DrugMiner.org. |
| نویسنده | نفر چندم مقاله |
|---|---|
| علی اکبر جمالی بیرامی | اول |
| رضا فردوسی | دوم |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| DrugMiner- comparative analysis of machine learning algorithms for prediction of potential druggable proteins.pdf | 1395/03/02 | 739591 | دانلود |
