In silico prediction of drug-target interaction networks based on drug chemical structure and protein sequences
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-10724-0
Abstract: Analysis of drug–target interactions (DTIs) is of great importance in developing new drug candidates for known protein targets or discovering new targets for old drugs. However, the experimental approaches for identifying DTIs are expensive, laborious… read more here.
Keywords: drug; dtis; drug target; chemical structure ... See more keywords
DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches
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DOI: 10.1093/bioinformatics/btx731
Abstract: Abstract Motivation Finding computationally drug–target interactions (DTIs) is a convenient strategy to identify new DTIs at low cost with reasonable accuracy. However, the current DTI prediction methods suffer the high false positive prediction rate. Results… read more here.
Keywords: method; graph; drug target; target interactions ... See more keywords
RoFDT: Identification of Drug–Target Interactions from Protein Sequence and Drug Molecular Structure Using Rotation Forest
Sign Up to like & getrecommendations! Published in 2022 at "Biology"
DOI: 10.3390/biology11050741
Abstract: Simple Summary Determining the drug–target relationships is the key to modern drug development, and it plays a crucial role in drug side effects research and individual treatment. However, traditional drug target identification by bio-experimental methods… read more here.
Keywords: drug target; dtis; protein sequence; drug ... See more keywords