5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      A Comprehensive in vitro and in silico Assessment on Inhibition of CYP51B and Ergosterol Biosynthesis by Eugenol in Rhizopus oryzae

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Mucormycosis, also known as Zygomycosis, is a disease caused by invasive fungi, predominantly Rhizopus species belonging to the Order of Mucorales. Seeing from the chemistry perspective, heterocyclic compounds with an "azole" moiety are widely employed as antifungal agent for minimising the effect of mucormycosis as a prescribed treatment. These azoles serve as non-competitive inhibitors of fungal CYP51B by predominantly binding to its heme moiety, rendering its inhibition. However, long-term usage and abuse of azoles as antifungal medicines has resulted in drug resistance among certain fungal pathogens. Hence, there is an unmet need to find alternative therapeutic compounds. In present study, we used various in vitro tests to investigate the antifungal activity of eugenol against R. oryzae/R. arrhizus, including ergosterol quantification to test inhibition of ergosterol production mediated antifungal action. The minimum inhibitory concentration (MIC) value obtained for eugenol was 512 μg/ml with reduced ergosterol concentration of 77.11 ± 3.25% at MIC/2 concentration. Further, the molecular interactions of eugenol with fungal CYP51B were meticulously studied making use of proteomics in silico study including molecular docking and molecular dynamics simulations that showed eugenol to be strongly interacting with heme in an identical fashion to that shown by azole drugs (in this case, clotrimazole was evaluated). This is the first of a kind study showing the simulation study of eugenol with CYP51B of fungi. This inhibition results in ergosterol synthesis and is also studied and compared with keeping clotrimazole as a reference.

          Graphical Abstract

          Related collections

          Most cited references44

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          MEGA11: Molecular Evolutionary Genetics Analysis Version 11

          The Molecular Evolutionary Genetics Analysis (MEGA) software has matured to contain a large collection of methods and tools of computational molecular evolution. Here, we describe new additions that make MEGA a more comprehensive tool for building timetrees of species, pathogens, and gene families using rapid relaxed-clock methods. Methods for estimating divergence times and confidence intervals are implemented to use probability densities for calibration constraints for node-dating and sequence sampling dates for tip-dating analyses. They are supported by new options for tagging sequences with spatiotemporal sampling information, an expanded interactive Node Calibrations Editor , and an extended Tree Explorer to display timetrees. Also added is a Bayesian method for estimating neutral evolutionary probabilities of alleles in a species using multispecies sequence alignments and a machine learning method to test for the autocorrelation of evolutionary rates in phylogenies. The computer memory requirements for the maximum likelihood analysis are reduced significantly through reprogramming, and the graphical user interface has been made more responsive and interactive for very big data sets. These enhancements will improve the user experience, quality of results, and the pace of biological discovery. Natively compiled graphical user interface and command-line versions of MEGA11 are available for Microsoft Windows, Linux, and macOS from www.megasoftware.net .
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments.

            Structure-based virtual screening plays an important role in drug discovery and complements other screening approaches. In general, protein crystal structures are prepared prior to docking in order to add hydrogen atoms, optimize hydrogen bonds, remove atomic clashes, and perform other operations that are not part of the x-ray crystal structure refinement process. In addition, ligands must be prepared to create 3-dimensional geometries, assign proper bond orders, and generate accessible tautomer and ionization states prior to virtual screening. While the prerequisite for proper system preparation is generally accepted in the field, an extensive study of the preparation steps and their effect on virtual screening enrichments has not been performed. In this work, we systematically explore each of the steps involved in preparing a system for virtual screening. We first explore a large number of parameters using the Glide validation set of 36 crystal structures and 1,000 decoys. We then apply a subset of protocols to the DUD database. We show that database enrichment is improved with proper preparation and that neglecting certain steps of the preparation process produces a systematic degradation in enrichments, which can be large for some targets. We provide examples illustrating the structural changes introduced by the preparation that impact database enrichment. While the work presented here was performed with the Protein Preparation Wizard and Glide, the insights and guidance are expected to be generalizable to structure-based virtual screening with other docking methods.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.

              Glide's ability to identify active compounds in a database screen is characterized by applying Glide to a diverse set of nine protein receptors. In many cases, two, or even three, protein sites are employed to probe the sensitivity of the results to the site geometry. To make the database screens as realistic as possible, the screens use sets of "druglike" decoy ligands that have been selected to be representative of what we believe is likely to be found in the compound collection of a pharmaceutical or biotechnology company. Results are presented for releases 1.8, 2.0, and 2.5 of Glide. The comparisons show that average measures for both "early" and "global" enrichment for Glide 2.5 are 3 times higher than for Glide 1.8 and more than 2 times higher than for Glide 2.0 because of better results for the least well-handled screens. This improvement in enrichment stems largely from the better balance of the more widely parametrized GlideScore 2.5 function and the inclusion of terms that penalize ligand-protein interactions that violate established principles of physical chemistry, particularly as it concerns the exposure to solvent of charged protein and ligand groups. Comparisons to results for the thymidine kinase and estrogen receptors published by Rognan and co-workers (J. Med. Chem. 2000, 43, 4759-4767) show that Glide 2.5 performs better than GOLD 1.1, FlexX 1.8, or DOCK 4.01.
                Bookmark

                Author and article information

                Contributors
                dweipayan.goswami@gujaratuniversity.ac.in
                rakeshrawal@gujaratuniversity.ac.in , rakeshmrawal@gmail.com
                Journal
                Curr Microbiol
                Curr Microbiol
                Current Microbiology
                Springer US (New York )
                0343-8651
                1432-0991
                20 December 2022
                2023
                : 80
                : 1
                : 47
                Affiliations
                [1 ]GRID grid.411877.c, ISNI 0000 0001 2152 424X, Department of Biochemistry and Forensic Science, University School of Sciences, , Gujarat University, ; Ahmedabad, Gujarat 380009 India
                [2 ]Department of Microbiology, B N Patel Institute of Paramedical and Sciences, Anand, Gujarat 388001 India
                [3 ]GRID grid.411877.c, ISNI 0000 0001 2152 424X, Department of Botany, Bioinformatics and Climate Change Impacts Management, School of Sciences, , Gujarat University, ; Ahmedabad, Gujarat India
                [4 ]GRID grid.411877.c, ISNI 0000 0001 2152 424X, Department of Microbiology and Biotechnology, University School of Sciences, , Gujarat University, ; Ahmedabad, Gujarat 380009 India
                [5 ]GRID grid.411877.c, ISNI 0000 0001 2152 424X, Department of Life Science, University School of Sciences, , Gujarat University, ; Ahmedabad, Gujarat 380009 India
                Author information
                http://orcid.org/0000-0001-8700-9929
                http://orcid.org/0000-0002-7203-8249
                http://orcid.org/0000-0001-6272-8732
                http://orcid.org/0000-0003-2001-7160
                http://orcid.org/0000-0003-4919-1322
                http://orcid.org/0000-0003-0165-0294
                http://orcid.org/0000-0002-7985-1187
                Article
                3108
                10.1007/s00284-022-03108-9
                9764306
                36538133
                9fab8355-e3b3-48d9-887c-5e1b90ee5ef9
                © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 2 April 2022
                : 3 November 2022
                Funding
                Funded by: GSBTM
                Award ID: GSBTM/JD(R&D)/610/20–21/365-371
                Award ID: GSBTM/JD(R&D)/616/21–22/1236
                Award Recipient :
                Categories
                Article
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2023

                Microbiology & Virology
                Microbiology & Virology

                Comments

                Comment on this article