Predicting Drug-Target Interactions via Within-Score and Between-Score
المؤلفون المشاركون
Shi, Jian-Yu
Liu, Zun
Yu, Hui
Li, Yong-Jun
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-10-12
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Network inference and local classification models have been shown to be useful in predicting newly potential drug-target interactions (DTIs) for assisting in drug discovery or drug repositioning.
The idea is to represent drugs, targets, and their interactions as a bipartite network or an adjacent matrix.
However, existing methods have not yet addressed appropriately several issues, such as the powerless inference in the case of isolated subnetworks, the biased classifiers derived from insufficient positive samples, the need of training a number of local classifiers, and the unavailable relationship between known DTIs and unapproved drug-target pairs (DTPs).
Designing more effective approaches to address those issues is always desirable.
In this paper, after presenting better drug similarities and target similarities, we characterize each DTP as a feature vector of within-scores and between-scores so as to hold the following superiorities: (1) a uniform vector of all types of DTPs, (2) only one global classifier with less bias benefiting from adequate positive samples, and (3) more importantly, the visualized relationship between known DTIs and unapproved DTPs.
The effectiveness of our approach is finally demonstrated via comparing with other popular methods under cross validation and predicting potential interactions for DTPs under the validation in existing databases.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shi, Jian-Yu& Liu, Zun& Yu, Hui& Li, Yong-Jun. 2015. Predicting Drug-Target Interactions via Within-Score and Between-Score. BioMed Research International،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1055151
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shi, Jian-Yu…[et al.]. Predicting Drug-Target Interactions via Within-Score and Between-Score. BioMed Research International No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1055151
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shi, Jian-Yu& Liu, Zun& Yu, Hui& Li, Yong-Jun. Predicting Drug-Target Interactions via Within-Score and Between-Score. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1055151
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1055151
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر