MetaPASS 2024: Visualization of Biological Activity Spectra of Organic Compounds Taking into Account Their Biotransformation

In the human body, pharmacological substances undergo biotransformation, therefore, during drugs development, it is necessary to take into account the biological activity spectra of their metabolites. Previously, we created the MetaPASS web application to analyze the probable spectra of biological activity of drug-like organic compounds taking into account their metabolism. Here we describe a new version of MetaPASS 2024 (https://www.way2drug.com/metapass), containing increased number of known metabolic pathways, and added procedures for searching structural similarity based on MNA and QNA descriptors and searching for compounds with the highest probability estimate for target biological activity; we have also implemented representation of the spectrum of biological activity in the form of treemaps.

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Publication Details

Journal
Biomedical Chemistry Research and Methods
Published
2025-01-01
DOI
https://doi.org/10.18097/bmcrm00243
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
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article

MetaPASS 2024: Visualization of Biological Activity Spectra of Organic Compounds Taking into Account Their Biotransformation

Pavel V. Pogodin, Vladimir Poroikov, Anastasia V. Rudik, Dmitry Filimonov et al.
1 citations
Biomedical Chemistry Research and Methods
Computational Drug Discovery Methods
1.50
article

MetaPASS 2024: Visualization of Biological Activity Spectra of Organic Compounds Taking into Account Their Biotransformation

Pavel V. Pogodin, Vladimir Poroikov, Anastasia V. Rudik, Dmitry Filimonov, Alexey A. Lagunin
article en
1 citations

Abstract

In the human body, pharmacological substances undergo biotransformation, therefore, during drugs development, it is necessary to take into account the biological activity spectra of their metabolites. Previously, we created the MetaPASS web application to analyze the probable spectra of biological activity of drug-like organic compounds taking into account their metabolism. Here we describe a new version of MetaPASS 2024 (https://www.way2drug.com/metapass), containing increased number of known metabolic pathways, and added procedures for searching structural similarity based on MNA and QNA descriptors and searching for compounds with the highest probability estimate for target biological activity; we have also implemented representation of the spectrum of biological activity in the form of treemaps.

Biomedical Chemistry Research and MethodsVol. 8(2)
Pirogov Russian National Research Medical University (RU), Institute of Biomedical Chemistry (RU)
Openalex Percentile: Top 16%
Computational Drug Discovery Methods
1.50
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