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The IDAAPM model is centered on products, adverse effects, drug structures, and targets tables.
Several techniques to maximally use the EPR effect have been developed, that is, modification of drug structures and development of drug carriers.
In Phatak et al. [ 2], a computational method for drug repositioning differs from previous similarity-based approaches since it combines chemical drug structures and drug target information computing similarity of drug target profiles via a bipartite-graph based approach.
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The kinetics of drug disposition is described as a non-linear disposition function of drug structure and properties.
Chemistry offers the possibility of designing novel ordered mesoporous materials, by modifying the composition and the structure, adapted to the drug structure and their dosage requirements.
The discussion is held from the viewpoint of design and structure of the polymer backbone and biodegradable spacer between a polymer and drug, structure and methods of attachment of the employed drugs to the carrier and structure and methods of conjugation with targeting moieties.
While adsorptive binding bears the risk of premature drug release and poor reproducibility, covalent binding could possibly influence drug structure and efficacy [16, 17].
We hypothesize that the differences in drug structure and kinase specificity lead to the observed differences in late protein synthesis.
Drug structure and data on target and drug-target interaction were retrieved from the DrugBank database (April 2011) [ 28].
We also identified a relationship between drug structure and hepatotoxicity, and were able to use this relationship to identify and investigate potential immune-system targets: HLA-B*5701 HLA-B*5701
Major databases of existing clinical trials as well as of drug structure and function (e.g. www.clinical-trials.gov; http://toxnet.nlm.nih.gov; http://druginfo.nlm.nih.gov/drugportal/; and http://www.ncbi.nlm.nih.gov/pcsubstance) also can potentially accelerate preclinical animal studies by consolidating available information, sometimes obviating the need for extensive de novo drug development.
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