AI Medical Compendium Journal:
Biomeditsinskaia khimiia

Showing 1 to 5 of 5 articles

Large-scale prediction of biological activities with Active-IT system.

Biomeditsinskaia khimiia
Traditional testing methods in pharmaceutical development can be time-consuming and costly, but in silico evaluation tools can offer a solution. Our in-house Active-IT system, a Ligand-Based Virtual Screening (LBVS) tool, was developed to predict the...

Multi-target neural network model of anxiolytic activity of chemical compounds using correlation convolution of multiple docking energy spectra.

Biomeditsinskaia khimiia
Anxiety disorders are one of the most common mental health pathologies in the world. They require searc h and development of novel effective pharmacologically active substances. Thus, the development of new approaches to the search for anxiolytic sub...

[Consensus ensemble neural network multitarget model of RAGE inhibitory activity of chemical compounds].

Biomeditsinskaia khimiia
RAGE signal transduction via the RAGE-NF-κB signaling pathway is one of the mechanisms of inflammatory reactions that cause severe complications in diabetes mellitus. RAGE inhibitors are promising pharmacological compounds that require the developmen...

[Neural network modeling of multitarget RAGE inhibitory activity].

Biomeditsinskaia khimiia
Based on the methodology of artificial neural networks, models describing the dependence of the level of RAGE inhibitory activity on the affinity of compounds for target proteins of the RAGE-NF-kB signal pathway have been costructed. A validated data...

[Antidiabetic role of high density lipoproteins].

Biomeditsinskaia khimiia
Disturbance in lipid metabolism can be both a cause and a consequence of the development of diabetes mellitus (DM). One of the most informative indicator of lipid metabolism is the ratio of atherogenic and antiatherogenic fractions of lipoproteins an...