Identifying Drug Targets in Pancreatic Ductal Adenocarcinoma Through Machine Learning, Analyzing Biomolecular Networks, and Structural Modeling

Identifying Drug Targets in Pancreatic Ductal Adenocarcinoma Through Machine Learning, Analyzing Biomolecular Networks, and Structural Modeling

Pancreatic ductal adenocarcinoma (PDAC) is one of the leading causes of cancer-related death and has an extremely poor prognosis. Thus, identifying new disease-associated genes and targets for PDAC diagnosis and therapy is urgently needed. This requires investigations into the underlying molecular m...

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Bibliographic Details
Main Authors: Wenying Yan, Xingyi Liu, Yibo Wang, Shuqing Han, Fan Wang, Xin Liu, Fei Xiao, Guang Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Pharmacology
Subjects:
pancreatic ductal adenocarcinoma
drug targets
support vector machine–recursive feature elimination
protein-protein interactions
structural dynamics
integrins
Online Access:https://www.frontiersin.org/article/10.3389/fphar.2020.00534/full

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