van Laarhoven, Twan published the artcileGaussian interaction profile kernels for predicting drug-target interaction, Name: 2-Amino-2-(hydroxymethyl)propane-1,3-diol (Z)-7-((1R,2R,3R,5S)-3,5-dihydroxy-2-((S,E)-3-hydroxy-3-methyloct-1-en-1-yl)cyclopentyl)hept-5-enoic acid, the publication is Bioinformatics (2011), 27(21), 3036-3043, database is CAplus and MEDLINE.
The in silico prediction of potential interactions between drugs and target proteins is of core importance for the identification of new drugs or novel targets for existing drugs. However, only a tiny portion of all drug-target pairs in current datasets are exptl. validated interactions. This motivates the need for developing computational methods that predict true interaction pairs with high accuracy. We show that a simple machine learning method that uses the drug-target network as the only source of information is capable of predicting true interaction pairs with high accuracy. Specifically, we introduce interaction profiles of drugs (and of targets) in a network, which are binary vectors specifying the presence or absence of interaction with every target (drug) in that network. We define a kernel on these profiles, called the Gaussian Interaction Profile (GIP) kernel, and use a simple classifier, (kernel) Regularized Least Squares (RLS), for prediction drug-target interactions. We test comparatively the effectiveness of RLS with the GIP kernel on 4 drug-target interaction networks used in previous studies. The proposed algorithm achieves area under the precision-recall curve (AUPR) up to 92.7, significantly improving over results of state-of-the-art methods. Moreover, we show that using also kernels based on chem. and genomic information further increases accuracy, with a neat improvement on small datasets. These results substantiate the relevance of the network topol. (in the form of interaction profiles) as source of information for predicting drug-target interactions.
Bioinformatics published new progress about 58551-69-2. 58551-69-2 belongs to alcohols-buliding-blocks, auxiliary class Chiral,Alkenyl,Amine,Aliphatic cyclic hydrocarbon,Ester,Alcohol,Inhibitor,, name is 2-Amino-2-(hydroxymethyl)propane-1,3-diol (Z)-7-((1R,2R,3R,5S)-3,5-dihydroxy-2-((S,E)-3-hydroxy-3-methyloct-1-en-1-yl)cyclopentyl)hept-5-enoic acid, and the molecular formula is C17H16O2, Name: 2-Amino-2-(hydroxymethyl)propane-1,3-diol (Z)-7-((1R,2R,3R,5S)-3,5-dihydroxy-2-((S,E)-3-hydroxy-3-methyloct-1-en-1-yl)cyclopentyl)hept-5-enoic acid.
Referemce:
https://en.wikipedia.org/wiki/Alcohol,
Alcohols – Chemistry LibreTexts