BalestraWeb: efficient online evaluation of drug-target interactions.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 25192741.
- Also identified by DOI 10.1093/bioinformatics/btu599 and PMC identifier 4271144.
- Licence recorded as CC BY-NC.
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Abstract
BalestraWeb is an online server that allows users to instantly make predictions about the potential occurrence of interactions between any given drug-target pair, or predict the most likely interaction partners of any drug or target listed in the DrugBank. It also permits users to identify most similar drugs or most similar targets based on their interaction patterns. Outputs help to develop hypotheses about drug repurposing as well as potential side effects. BalestraWeb is accessible at http://balestra.csb.pitt.edu/. The tool is built using a probabilistic matrix factorization method and DrugBank v3, and the latent variable models are trained using the GraphLab collaborative filtering toolkit. The server is implemented using Python, Flask, NumPy and SciPy.
Medical subject headings
- Databases, Pharmaceutical
- Databases, Protein
- Drug Discovery
- Internet
- Software