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1.
Nat Prod Res ; 37(6): 903-911, 2023 Mar.
Article in English | MEDLINE | ID: mdl-35819986

ABSTRACT

Plants of Hyptidinae subtribe (Lamiaceae - family), as Mesosphaerum sidifolium, are a source of bioactive molecules. In the search for new drug candidates, we perform chemical characterization of diterpenes isolated from the aerial parts of M. sidifolium was carried out with uni- and bidimensional NMR spectral data, and evaluate in silico through the construction of a predictive model followed by in vitro testing Mycobacterium tuberculosis and Mycobacterium smegmatis. Resulted in the isolation of four components: Pomiferin D (1), Salviol (2), Pomiferin E (3) and 2α-hydroxysugiol (4), as well as two phenolic compounds, rosmarinic and caffeic acids. In silico model identified 48 diterpenes likely to have biological activity against M. tuberculosis. The diterpenes isolated were tested in vitro against M. tuberculosis demonstrating MIC = 125 µM for 4 and 1, while 2 and 3 -MIC = 250 µM. These compounds did not show biological activity at these concentrations for M. smegmatis.


Subject(s)
Diterpenes , Lamiaceae , Mycobacterium tuberculosis , Tuberculosis , Microbial Sensitivity Tests , Diterpenes/chemistry , Lamiaceae/chemistry , Antitubercular Agents/chemistry
2.
Molecules ; 26(3)2021 Feb 02.
Article in English | MEDLINE | ID: mdl-33540716

ABSTRACT

BACKGROUND: The growing demand for agricultural products has led to the misuse/overuse of insecticides; resulting in the use of higher concentrations and the need for ever more toxic products. Ecologically, bioinsecticides are considered better and safer than synthetic insecticides; they must be toxic to the target organism, yet with low or no toxicity to non-target organisms. Many plant extracts have seen their high insecticide potential confirmed under laboratory conditions, and in the search for plant compounds with bioinsecticidal activity, the Lamiaceae family has yielded satisfactory results. OBJECTIVE: The aim of our study was to develop computer-assisted predictions for compounds with known insecticidal activity against Aphis gossypii and Drosophila melanogaster. RESULTS AND CONCLUSION: Structure analysis revealed ent-kaurane, kaurene, and clerodane diterpenes as the most active, showing excellent results. We also found that the interactions formed by these compounds were more stable, or presented similar stability to the commercialized insecticides tested. Overall, we concluded that the compounds bistenuifolin L (1836) and bistenuifolin K (1931), were potentially active against A. gossypii enzymes; and salvisplendin C (1086) and salvixalapadiene (1195), are potentially active against D. melanogaster. We observed and highlight that the diterpenes bistenuifolin L (1836), bistenuifolin K (1931), salvisplendin C (1086), and salvixalapadiene (1195), present a high probability of activity and low toxicity against the species studied.


Subject(s)
Aphids , Computer Simulation , Diterpenes/chemistry , Drosophila melanogaster , Insecticides/chemistry , Lamiaceae/chemistry , Amino Acid Sequence , Animals , Aphids/metabolism , Drosophila melanogaster/metabolism , Humans , Insect Proteins/chemistry , Insect Proteins/metabolism , Machine Learning , Models, Molecular , Protein Conformation
3.
Curr Top Med Chem ; 20(24): 2126-2145, 2020.
Article in English | MEDLINE | ID: mdl-32674732

ABSTRACT

BACKGROUND: The emergence of a new coronavirus (CoV), named 2019-nCoV, as an outbreak originated in the city of Wuhan, China, has resulted in the death of more than 3,400 people this year alone and has caused worldwide an alarming situation, particularly following previous CoV epidemics, including the Severe Acute Respiratory Syndrome (SARS) in 2003 and the Middle East Respiratory Syndrome (MERS) in 2012. Currently, no exists for infections caused by CoVs; however, some natural products may represent potential treatment resources, such as those that contain diterpenes. OBJECTIVE: This study aimed to use computational methods to perform a virtual screening (VS) of candidate diterpenes with the potential to act as CoV inhibitors. METHODS: 1,955 diterpenes, derived from the Nepetoideae subfamily (Lamiaceae), were selected using the SistematX tool (https://sistematx.ufpb.br), which were used to make predictions. From the ChEMBL database, 3 sets of chemical structures were selected for the construction of predictive models. RESULTS: The chemical structures of molecules with known activity against SARS CoV, two of which were tested for activity against specific viral proteins and one of which was tested for activity against the virus itself, were classified according to their pIC50 values [-log IC50 (mol/l)]. CONCLUSION: In the consensus analysis approach, combining both ligand- and structure-based VSs, 19 compounds were selected as potential CoV inhibitors, including isotanshinone IIA (01), tanshinlactone (02), isocryptotanshinone (03), and tanshinketolactone (04), which did not present toxicity within the evaluated parameters.


Subject(s)
Antiviral Agents/chemistry , Antiviral Agents/pharmacology , Betacoronavirus/drug effects , Coronavirus Infections/drug therapy , Diterpenes/chemistry , Diterpenes/pharmacology , Lamiaceae/chemistry , Pneumonia, Viral/drug therapy , Antiviral Agents/pharmacokinetics , COVID-19 , Computational Biology , Diterpenes/pharmacokinetics , High-Throughput Screening Assays , Humans , Ligands , Models, Chemical , Molecular Docking Simulation , Molecular Structure , Pandemics , Predictive Value of Tests , SARS-CoV-2 , Structure-Activity Relationship
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