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Geslin D, Lepailleur A, Manguin JL, Vo NV, Lamotte JL, Cuissart B, Bureau R. Deciphering a Pharmacophore Network: A Case Study Using BCR-ABL Data. J Chem Inf Model 2022; 62:678-691. [PMID: 35080879 DOI: 10.1021/acs.jcim.1c00427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
This paper introduces a general method that can be used to create groups of pharmacophores to support their further in-depth analysis. A BCR-ABL molecular dataset was used to calculate graph edit distances between pharmacophores and led to their organization into a novel pharmacophore network. The application of a graph layout algorithm allowed us to discriminate between the pharmacophores associated with active compounds and those associated with inactive compounds. A clustering approach was used to refine the partitioning by grouping the pharmacophores based on their structures, activities, and binding modes. Analysis of a newly spatialized pharmacophore network provided us with critical insight into structure-activity relationships, most notably those that revealed distinctions between activity classes and chemical families. As shown, this method permits us to identify families of structurally homogeneous pharmacophores.
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Affiliation(s)
- Damien Geslin
- Centre d'Etudes et de Recherche sur le Médicament de Normandie, Normandie Univ, UNICAEN, CERMN, 14000 Caen, France.,Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen, Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC, 14000 Caen, France
| | - Alban Lepailleur
- Centre d'Etudes et de Recherche sur le Médicament de Normandie, Normandie Univ, UNICAEN, CERMN, 14000 Caen, France
| | - Jean-Luc Manguin
- Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen, Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC, 14000 Caen, France
| | - Nhat-Vinh Vo
- Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen, Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC, 14000 Caen, France
| | - Jean-Luc Lamotte
- Centre d'Etudes et de Recherche sur le Médicament de Normandie, Normandie Univ, UNICAEN, CERMN, 14000 Caen, France.,Sorbonne Université, UFR 919, 4 place Jussieu, F-75252 Paris Cedex 05, France
| | - Bertrand Cuissart
- Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen, Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC, 14000 Caen, France
| | - Ronan Bureau
- Centre d'Etudes et de Recherche sur le Médicament de Normandie, Normandie Univ, UNICAEN, CERMN, 14000 Caen, France
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Goryashchenko AS, Uvarova VI, Osolodkin DI, Ishmukhametov AA. Discovery of small molecule antivirals targeting tick-borne encephalitis virus. ANNUAL REPORTS IN MEDICINAL CHEMISTRY 2022. [DOI: 10.1016/bs.armc.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Zabolotna Y, Lin A, Horvath D, Marcou G, Volochnyuk DM, Varnek A. Chemography: Searching for Hidden Treasures. J Chem Inf Model 2020; 61:179-188. [PMID: 33334102 DOI: 10.1021/acs.jcim.0c00936] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
The days when medicinal chemistry was limited to a few series of compounds of therapeutic interest are long gone. Nowadays, no human may succeed to acquire a complete overview of more than a billion existing or feasible compounds within which the potential "blockbuster drugs" are well hidden and yet only a few mouse clicks away. To reach these "hidden treasures", we adapted the generative topographic mapping method to enable efficient navigation through the chemical space, from a global overview to a structural pattern detection, covering, for the first time, the complete ZINC library of purchasable compounds, relative to 1.6 million biologically relevant ChEMBL molecules. About 40 000 hierarchical maps of the chemical space were constructed. Structural motifs inherent to only one library were identified. Roughly 20 000 off-market ChEMBL compound families represent incentives to enrich commercial catalogs. Alternatively, 125 000 ZINC-specific compound classes, absent in structure-activity bases, are novel paths to explore in medicinal chemistry. The complete list of these chemotypes can be downloaded using the link https://forms.gle/B6bUJj82t9EfmttV6.
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Affiliation(s)
- Yuliana Zabolotna
- University of Strasbourg, Laboratoire de Chemoinformatique, 4, rue B. Pascal, Strasbourg 67081 France
| | - Arkadii Lin
- University of Strasbourg, Laboratoire de Chemoinformatique, 4, rue B. Pascal, Strasbourg 67081 France
| | - Dragos Horvath
- University of Strasbourg, Laboratoire de Chemoinformatique, 4, rue B. Pascal, Strasbourg 67081 France
| | - Gilles Marcou
- University of Strasbourg, Laboratoire de Chemoinformatique, 4, rue B. Pascal, Strasbourg 67081 France
| | - Dmitriy M Volochnyuk
- Institute of Organic Chemistry National Academy of Sciences of Ukraine, Murmanska Street 5, Kyiv 02660, Ukraine.,Enamine Ltd., Chervonotkatska Street 78, Kyiv 02094, Ukraine
| | - Alexandre Varnek
- University of Strasbourg, Laboratoire de Chemoinformatique, 4, rue B. Pascal, Strasbourg 67081 France
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Horvath D, Orlov A, Osolodkin DI, Ishmukhametov AA, Marcou G, Varnek A. A Chemographic Audit of anti-Coronavirus Structure-activity Information from Public Databases (ChEMBL). Mol Inform 2020; 39:e2000080. [PMID: 32363750 PMCID: PMC7267182 DOI: 10.1002/minf.202000080] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 04/26/2020] [Indexed: 01/30/2023]
Abstract
Discovery of drugs against newly emerged pathogenic agents like the SARS-CoV-2 coronavirus (CoV) must be based on previous research against related species. Scientists need to get acquainted with and develop a global oversight over so-far tested molecules. Chemography (herein used Generative Topographic Mapping, in particular) places structures on a human-readable 2D map (obtained by dimensionality reduction of the chemical space of molecular descriptors) and is thus well suited for such an audit. The goal is to map medicinal chemistry efforts so far targeted against CoVs. This includes comparing libraries tested against various virus species/genera, predicting their polypharmacological profiles and highlighting often encountered chemotypes. Maps are challenged to provide predictive activity landscapes against viral proteins. Definition of "anti-CoV" map zones led to selection of therein residing 380 potential anti-CoV agents, out of a vast pool of 800 M organic compounds.
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Affiliation(s)
- Dragos Horvath
- Chemoinformatics LaboratoryUMR 7140 CNRS/University of Strasbourg4, rue Blaise Pascal67000Strasbourg
| | - Alexey Orlov
- Chemoinformatics LaboratoryUMR 7140 CNRS/University of Strasbourg4, rue Blaise Pascal67000Strasbourg
- FSBSI “Chumakov FSC R&D IBP RAS”Poselok Instituta Poliomielita 8 bd. 1Poselenie MoskovskyMoscow108819Russia
| | - Dmitry I. Osolodkin
- FSBSI “Chumakov FSC R&D IBP RAS”Poselok Instituta Poliomielita 8 bd. 1Poselenie MoskovskyMoscow108819Russia
- Institute of Translational Medicine and BiotechnologySechenov First Moscow State Medical UniversityTrubetskaya ul. 8Moscow119991Russia
| | - Aydar A. Ishmukhametov
- FSBSI “Chumakov FSC R&D IBP RAS”Poselok Instituta Poliomielita 8 bd. 1Poselenie MoskovskyMoscow108819Russia
- Institute of Translational Medicine and BiotechnologySechenov First Moscow State Medical UniversityTrubetskaya ul. 8Moscow119991Russia
| | - Gilles Marcou
- Chemoinformatics LaboratoryUMR 7140 CNRS/University of Strasbourg4, rue Blaise Pascal67000Strasbourg
| | - Alexandre Varnek
- Chemoinformatics LaboratoryUMR 7140 CNRS/University of Strasbourg4, rue Blaise Pascal67000Strasbourg
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Horvath D, Marcou G, Varnek A. Generative topographic mapping in drug design. DRUG DISCOVERY TODAY. TECHNOLOGIES 2019; 32-33:99-107. [PMID: 33386101 DOI: 10.1016/j.ddtec.2020.06.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 06/10/2020] [Accepted: 06/18/2020] [Indexed: 06/12/2023]
Abstract
This is a review article of Generative Topographic Mapping (GTM) - a non-linear dimensionality reduction technique producing generative 2D maps of high-dimensional vector spaces - and its specific applications in Drug Design (chemical space cartography, compound library design and analysis, virtual screening, pharmacological profiling, de novo drug design, conformational space & docking interaction cartography, etc.) Written by chemoinformaticians for potential users among medicinal chemists and biologists, the article purposely avoids all underlying mathematics. First, the GTM concept is intuitively explained, based on the strong analogies with the rather popular Self-Organizing Maps (SOMs), which are well established library analysis tools. GTM is basically a fuzzy-logics-based generalization of SOMs. The second part of the review, some of published GTM applications in drug design are briefly revisited.
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Affiliation(s)
- Dragos Horvath
- Laboratory of Chemoinformatics, UMR 7140 University of Strasbourg/CNRS, 4 rue Blaise Pascal, 67000 Strasbourg, France.
| | - Gilles Marcou
- Laboratory of Chemoinformatics, UMR 7140 University of Strasbourg/CNRS, 4 rue Blaise Pascal, 67000 Strasbourg, France
| | - Alexandre Varnek
- Laboratory of Chemoinformatics, UMR 7140 University of Strasbourg/CNRS, 4 rue Blaise Pascal, 67000 Strasbourg, France.
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Orlov AA, Zherebker A, Eletskaya AA, Chernikov VS, Kozlovskaya LI, Zhernov YV, Kostyukevich Y, Palyulin VA, Nikolaev EN, Osolodkin DI, Perminova IV. Examination of molecular space and feasible structures of bioactive components of humic substances by FTICR MS data mining in ChEMBL database. Sci Rep 2019; 9:12066. [PMID: 31427609 PMCID: PMC6700089 DOI: 10.1038/s41598-019-48000-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Accepted: 07/29/2019] [Indexed: 01/08/2023] Open
Abstract
Humic substances (HS) are complex natural mixtures comprising a large variety of compounds produced during decomposition of decaying biomass. The molecular composition of HS is extremely diverse as it was demonstrated with the use of high resolution mass spectrometry. The building blocks of HS are mostly represented by plant-derived biomolecules (lignins, lipids, tannins, carbohydrates, etc.). As a result, HS show a wide spectrum of biological activity. Despite that, HS remain a 'biological activity black-box' due to unknown structures of constituents responsible for the interaction with molecular targets. In this study, we investigated the antiviral activity of eight HS fractions isolated from peat and coal, as well as of two synthetic humic-like materials. We determined molecular compositions of the corresponding samples using ultra-high resolution Fourier-transform ion cyclotron resonance mass-spectrometry (FTICR MS). Inhibitory activity of HS was studied with respect to reproduction of tick-borne encephalitis virus (TBEV), which is a representative of Flavivirus genus, and to a panel of enteroviruses (EVs). The samples of natural HS inhibited TBEV reproduction already at a concentration of 1 µg/mL, but they did not inhibit reproduction of EVs. We found that the total relative intensity of FTICR MS formulae within elemental composition range commonly attributed to flavonoid-like structures is correlating with the activity of the samples. In order to surmise on possible active structural components of HS, we mined formulae within FTICR MS assignments in the ChEMBL database. Out of 6502 formulae within FTICR MS assignments, 3852 were found in ChEMBL. There were more than 71 thousand compounds related to these formulae in ChEMBL. To support chemical relevance of these compounds to natural HS we applied the previously developed approach of selective isotopic exchange coupled to FTICR MS to obtain structural information on the individual components of HS. This enabled to propose compounds from ChEMBL, which corroborated the labeling data. The obtained results provide the first insight onto the possible structures, which comprise antiviral components of HS and, respectively, can be used for further disclosure of antiviral activity mechanism of HS.
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Affiliation(s)
- Alexey A Orlov
- FSBSI "Chumakov FSC R&D IBP RAS", Moscow, 108819, Russia
- Skolkovo Institute of Science and Technology, Moscow, 143026, Russia
- Department of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Alexander Zherebker
- Skolkovo Institute of Science and Technology, Moscow, 143026, Russia
- Department of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Anastasia A Eletskaya
- FSBSI "Chumakov FSC R&D IBP RAS", Moscow, 108819, Russia
- Department of Fundamental Medicine, Lomonosov Moscow State University, Moscow, 119991, Russia
| | | | - Liubov I Kozlovskaya
- FSBSI "Chumakov FSC R&D IBP RAS", Moscow, 108819, Russia
- Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Yury V Zhernov
- State Research Center "Institute of Immunology" of the Federal Medical-Biological Agency of Russia, Moscow, 115478, Russia
| | - Yury Kostyukevich
- Skolkovo Institute of Science and Technology, Moscow, 143026, Russia
| | - Vladimir A Palyulin
- Department of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Eugene N Nikolaev
- Skolkovo Institute of Science and Technology, Moscow, 143026, Russia
| | - Dmitry I Osolodkin
- FSBSI "Chumakov FSC R&D IBP RAS", Moscow, 108819, Russia.
- Department of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia.
- Sechenov First Moscow State Medical University, Moscow, 119991, Russia.
| | - Irina V Perminova
- Department of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia.
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