Abstract：
:Most pharmaceutical substances interact with several or even many molecular targets in the organism, determining the complex profiles of their biological activity. Moreover, due to biotransformation in the human body, they form one or several metabolites with different biological activity profiles. Therefore, the development and rational use of novel drugs requires the analysis of their biological activity profiles, taking into account metabolism in the human body. In silico methods are currently widely used for estimating new drug-like compounds' interactions with pharmacological targets and predicting their metabolic transformations. In this study, we consider the estimation of the biological activity profiles of organic compounds, taking into account the action of both the parent molecule and its metabolites in the human body. We used an external dataset that consists of 864 parent compounds with known metabolites. It is shown that the complex assessment of active pharmaceutical ingredients' interactions with the human organism increases the quality of computer-aided estimates. The toxic and adverse effects showed the most significant difference: reaching 0.16 for recall and 0.14 for precision.
journal_name
Int J Mol Scijournal_title
International journal of molecular sciencesauthors
Filimonov DA,Rudik AV,Dmitriev AV,Poroikov VVdoi
10.3390/ijms21207492subject
Has Abstractpub_date
2020-10-11 00:00:00issue
20issn
1422-0067pii
ijms21207492journal_volume
21pub_type
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