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MDM2pred is a machine learning application based on the KNNRegressor algorithm, it's trained on 1647 known inhibitors of the human E3 ubiquitin ligase (Mouse Double Minute 2; MDM2), the primary negative regulator of the well-known tumor suppressor p53. The KNN model backing MDM2pred achieves ~0.74 R² on test compounds (cross-validated) and has a…
The Sample MATLAB Code and dataset for “Systems Biology and Machine Learning Approaches Identify Drug Targets in Diabetic Nephropathy” paper, by Maryam Abedi, Hamid Reza Marateb, Mohammad Reza Mohebian, Seyed Hamid Aghaee-Bakhtiari, Seyed Mahdi Nassiri, and Yousof Gheisari, submitted to Scientific Reports.
Retrieval of the disease association and evidence from the Open Targets Platform, annotation of the association evidence through Clinvar, Sequence Ontology and PanelApp APIs, and finally filter and prioritise the protective targets when they possess LoF.
This repository contain all the file necessary to download, compute and statistically validate the pairwise interaction between Drug side effects and Drug Targets
Description of work done at Merck pharmaceutical company in the summer of 2018 as a Computational Drug Discovery Intern at West Point, PA. Information excludes all proprietary information belonging to Merck & Co.