Relating drug-protein interaction network with drug side effects
نویسندگان
چکیده
منابع مشابه
Relating drug–protein interaction network with drug side effects
MOTIVATION Identifying the emergence and underlying mechanisms of drug side effects is a challenging task in the drug development process. This underscores the importance of system-wide approaches for linking different scales of drug actions; namely drug-protein interactions (molecular scale) and side effects (phenotypic scale) toward side effect prediction for uncharacterized drugs. RESULTS ...
متن کاملMetabolic Network Prediction of Drug Side Effects.
Drug side effects levy a massive cost on society through drug failures, morbidity, and mortality cases every year, and their early detection is critically important. Here, we describe the array of model-based phenotype predictors (AMPP), an approach that leverages medical informatics resources and a human genome-scale metabolic model (GSMM) to predict drug side effects. AMPP is substantially pr...
متن کاملProtein-Protein Interaction Network Evaluation for Identifying Potential Drug Targets
As pathogens evolve effective schemes to overcome the effect of antibiotics, the prevalent "one drug and one drug target" approach is falling behind. We propose novel strategies for identifying potential multiple-drug targets in pathogenic protein-protein interaction (PPI) networks with the goal of disrupting known pathways/complexes. Given a set S of pathogenic pathways/complexes, we first con...
متن کاملExploring Drug-Target Interaction Network with NodeXL
I was preparing an extended version of our paper on Probabilistic Soft Logic (PSL) for drug-target interaction prediction [1] that was invited for submission to IEEE-TCBB journal, and it approximately coincided with the NodeXL homework. I planned to use NodeXL to find interesting observations in the dataset we used for our experimental analysis and add it to the journal submission. The followin...
متن کاملSystematic Prediction of Pharmacodynamic Drug-Drug Interactions through Protein-Protein-Interaction Network
Identifying drug-drug interactions (DDIs) is a major challenge in drug development. Previous attempts have established formal approaches for pharmacokinetic (PK) DDIs, but there is not a feasible solution for pharmacodynamic (PD) DDIs because the endpoint is often a serious adverse event rather than a measurable change in drug concentration. Here, we developed a metric "S-score" that measures t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2012
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bts383