Skip to content
BY 4.0 license Open Access Published by De Gruyter Open Access June 20, 2023

Computational and experimental investigation of antibacterial and antifungal properties of Nicotiana tabacum extracts

  • Muhammad Hamayoon Khan , Abdur Rauf EMAIL logo , Muhammad Saeed , Taghrid S. Alomar EMAIL logo , Anees Ahmed Khalil , Najla AlMasoud , Rohit Sharma and Giovanni Ribaudo EMAIL logo
From the journal Open Chemistry

Abstract

The identification of novel anti-infective agents of synthetic and natural origin represents one of the main aims of contemporary drug discovery. In the current work, four different varieties of Nicotiana tabacum, namely, K399, SPG28, Swat No. 1, and Swat No. 2, were studied to assess the antibacterial and antifungal properties of their extracts. The extracts contain anthraquinones, alkaloids, saponins, terpenoids, tannins, resins, steroids, proteins, and carbohydrates, and the antibacterial and antifungal activities were evaluated toward four bacterial and four fungal strains. N. tabacum K399 showed the highest zone of inhibition against E. coli. Similarly, K399 showed the highest antifungal potential, as the highest zone of inhibition for the set was detected against C. albicans. Then, the underlying molecular mechanism was further investigated, and the extracts were tested for their inhibitory potential against urease, an enzyme which is conserved in bacteria and fungi. Additionally, computational tools were enrolled to assess the role of rutin and chlorogenic acid, which are among the main constituents of N. tabacum leaves, in interacting with urease through molecular docking. Combined together, the computational and experimental results support the antibacterial and antifungal potential of N. tabacum extracts, particularly, that obtained from K399 variety.

1 Introduction

The term “tobacco” refers to the processed leaves of diverse plant species from the genus Nicotiana belonging to the family of Solanaceae, which are abundantly cultivated in Asia, America, Australia, and southwestern Africa [13]. Several varieties of Nicotiana species are not only consumed primarily for recreational purposes but also for medicinal purposes [4]. More specifically, even though nearly 60–75 different species have been identified, N. tabacum L. and N. rustical L. are predominantly grown for human use [5].

Several studies aiming at determining the phytochemical constituents of Nicotiana species and their associated bioactivities were reported [6,7] as N. tabacum, in particular, is found to be a rich source of various bioactive compounds with antimicrobial, anti-inflammatory, and antioxidant potential. In this connection, N. tabacum contains several active constituents besides the eponymous nicotine, including flavonoids, phenolic acids, alkaloids, terpenoids, etc., which are responsible for its different biological effects [6,810]. Besides, the phytochemical profile of N. tabacum leaves is widely affected by various factors like dehydration, treatment process, fermentation, and storage. Polyphenols account for nearly 7% of the dry weight of tobacco and their content varies depending upon variety, stage of harvesting, maturation stage, and other environmental parameters such as temperature [11]. More specifically, the polyphenolic composition of tobacco includes rutin, chlorogenic acid, flavone, and scopolamine. Interestingly, among these species, rutin and chlorogenic acid account for nearly 80% of the total polyphenol content of N. tabacum leaves [1214].

In contemporary drug discovery, great attention and efforts are pointed towards the world of natural products for the identification of novel antibacterial [15] and antifungal agents [16,17]. More specifically, recent contributions in the literature shed light on the potential of N. tabacum extracts to contrast the proliferation of bacteria and fungi [18,19]. In this context, the aim of the current study is to evaluate the potential of extracts from K399, SPG38, Swat No. 1 (SN1) and Swat No. 2 (SN2) varieties of N. tabacum as antifungal and antibacterial agents. The extracts were tested in vitro, and urease inhibition was also evaluated. Additionally, computational studies were carried out to support the interpretation of experimental data.

2 Methods

2.1 Samples collection and extraction

Four different indigenously available varieties of N. tabacum, i.e., SN1, SN2, SPG28, and K399, were collected from local farmers of Swabi District, Khyber Pakhtunkhwa (KPK), Pakistan. These samples were brought to the Department of Chemistry, University of Swabi, KPK, Pakistan for further processing, and the sample voucher NO.UOS-BOT/120 was deposited in the Department of Botany, University of Swabi.

Leaves from the four different species of N. tabacum were separated from stems, cleaned, washed, and dried for 2 weeks in the shade. After drying, plant material (2 kg) was grinded, and the resulting powder was collected and used for further analysis [20]. Then, powdered leaves (100 g) from the four different varieties were placed in a 1 L volumetric flask with 800 mL of methanol for 7 days. Afterwards, the mixture was filtered using grade 1 filter paper from Whatman (Maidstone, UK), and the filtrate was evaporated under reduced pressure to provide the crude extracts, which were stored at −20°C. All used chemicals, reagents, and solvents were of analytical grade and were obtained from Honeywell-Fluka (Charlotte, NC, USA), Sigma-Aldrich (St. Louis, MO, USA), and Merck (Darmstadt, Germany).

2.2 Preliminary phytochemical analysis

The preliminary screening for the detection of different phytochemical compounds like saponins, proteins, steroids, flavonoids, alkaloids, tannins, anthraquinones, terpenoids, and carbohydrates was performed using standard protocols based on qualitative assays [2123]. All experiments were carried out in triplicate.

2.3 In vitro antibacterial and antifungal activity

Well diffusion method was adopted to evaluate the antibacterial potential of extracts prepared from four varieties of N. tabacum against S. typhi, E. coli, B. subtilis, and S. aureus [24]. Ampicillin was used as reference compound in this study, and the zone of inhibition (mm) was measured to assess the antibacterial properties. All the tests were performed in triplicate and mean value ± SD was calculated.

The broth dilution method was employed for the determination of antifungal properties of extracts prepared from four varieties of N. tabacum against T. harzianum, A. brasiliensis, C. albicans, and A. niger [24]. Mycostatin was used as reference compound in this study. The inoculum was added to each tube and incubated for 7 days. Following incubation, the antifungal properties of tubes containing standard drug and extracts were evaluated. The zone of inhibition (mm) was then calculated to assess the antifungal properties. All the tests were performed in triplicate and mean value ± SD was calculated.

2.4 Urease inhibition

Jack bean urease inhibitory activity of the extracts was determined by adopting previously reported procedures [24,25]. Briefly, each extract (25 µL) and enzyme (25 µL of 0.25 mg/mL solution) were incubated for 15 min at 30°C. After the initial incubation, urea (55 µL) was added to the mixture, which was again incubated in the same conditions. Then, 45 µL of phenol reagent was introduced in each well (0.005% w/v sodium nitroprusside and 1% w/v phenol) together with 70 µL of alkali reagent (0.1% w/v NaClO and 0.5% w/v NaOH). The absorbance (A) of this mixture was measured at 630 nm. The final mixtures were incubated for additional 50 min at 30°C, and the absorbance at 630 nm was then measured. Thiourea was used as a positive control in this analysis. Percent inhibition of urease was calculated by using the following formula:

Percent inhibition = ( A blank A sample ) A blank × 100

All the tests were performed in triplicate and the mean value ± SD was calculated.

2.5 Molecular modeling

The structure of the macromolecular target was retrieved from the RCSB Protein Data Bank (www.rcsb.org, PDB ID 3LA4) and the PDB file was selected in agreement with previous works [26,27]. 3D models of ligands were built using Avogadro 1.2.0, and geometry was optimized using the same software [28]. Target was prepared for the blind docking experiments, performed using AutoDock Vina, using default parameters [29]. Receptor search volume was set according to the grid parameters reported as follows: Grid center: x = −52.260, y = −13.702, z = 77.095, size: 75 × 95 × 80 Å. The number of docking poses was set to 10, with other Vina parameters set as default. Residue numbering used in the PDB file was adopted. Output data, such as calculated binding energies and interaction patterns, were analyzed and scored using UCSF Chimera molecular viewer [30]. This software was also used to produce the artworks. Calculated binding energy values are expressed in kcal/mol and refer to the most favored predicted pose.

3 Results

The aim of this study is to evaluate the potential of the extracts of different varieties of N. tabacum, namely, K399, SPG28, SN1, and SN2 (Figure 1) as antibacterial and antifungal agents. The first step consists of the extraction of bioactive components. In particular, after processing, the methanolic extracts obtained from dried leaves of the four samples were subjected to qualitative assays to preliminarily determine their content in terms of classes of phytochemical constituents.

Figure 1 
               Images of the plant samples collected and studied in the current work. K399, SPG28, SN1 and SN2 varieties are depicted clockwise starting from top left.
Figure 1

Images of the plant samples collected and studied in the current work. K399, SPG28, SN1 and SN2 varieties are depicted clockwise starting from top left.

The qualitative phytochemical analysis was performed to assess the presence or absence of specific chemical classes of bioactive secondary metabolites in the different varieties [23], and the results are reported in Table S1 in the Supporting information.

More specifically, the K399 methanolic extract showed the presence of tannins, alkaloids, saponins, flavonoids, steroids, terpenoids, carbohydrates, polyphenols, and polypeptides, while anthraquinones, C-glycosides, and resins were not present. On the other hand, anthraquinones, alkaloids, saponins, terpenoids, flavonoids, steroids, carbohydrates, C-glycosides, and polyphenols were detected in the extract from the SPG38 variety, while tannins, resins, and polypeptides were not present. The SN1 methanolic extract showed the presence of tannins, alkaloids, steroids, saponins, flavonoids, resins, carbohydrates, and polypeptides, while C-glycosides and terpenoids were absent. Eventually, the SN2 methanolic extract contained anthraquinones, alkaloids, steroids, flavonoids, resins, carbohydrates, cardiac glycosides, polyphenols, and polypeptides, while tannins, saponins, steroids, terpenoids, and polypeptides were not present.

Overall, phytochemical screening of extracts from all four different varieties of N. tabacum revealed the presence of alkaloids, flavonoids, polyphenols, and carbohydrates in all the tested varieties. It must also be noted that emodins, free reducing sugars, anthocyanins, coumarins, and betacyanins were not detected in any of the N. tabacum tested varieties.

Although it is widely accepted that the phytochemical composition of N. tabacum may vary depending upon processing conditions, temperature, maturation stage, time of harvesting, and storage [31,32], these findings are in agreement with a previous work by Shekins et al., who reported the presence of glycosides, alkaloids, tannins, phenols, and reducing sugars in methanolic extracts of N. tabacum [33].

Following the previously reported promising results concerning the antibiotic potential of N. tabacum extracts [18], the antibacterial activity of N. tabacum methanolic extracts against B. subtilis, E. coli, S. aureus, and S. typhi was tested using the well diffusion method. In this study, ampicillin was used as positive control, and the results are reported in Figure 2 and Table S2 in the Supporting information. The highest antibacterial activity in terms of zone of inhibition (17.0 ± 0.3 mm) was observed in the case of K399 extract against E. coli, while SN2 extract was the least effective against the same strain (7.5 ± 0.6 mm). Nevertheless, overall, all the extracts from the four different varieties of N. tabacum possessed significant antibacterial activity against the experimented strains.

Figure 2 
               Antibacterial activity of N. tabacum SPG38, K399, SN1, and SN2 varieties against various bacterial strains.
Figure 2

Antibacterial activity of N. tabacum SPG38, K399, SN1, and SN2 varieties against various bacterial strains.

The potential of N. tabacum constituents as antifungal agents was discussed in recent reports [19]. In this context, the extracts from the four varieties of N. tabacum were used to test the inhibitory zone towards fungi such as T. harzianum, A. brasiliensis, C. albicans, and A. niger. According to the results, reported in Figure 3 and Table S3 in the Supporting information, K399 again showed the highest zone of inhibition (16.5 ± 0.2 mm) against C. albicans but it was less effective against A. niger (7.0 ± 0.2 mm). These findings are in agreement with the observations by Jabeen et al., who showed that alcoholic extracts of N. tabacum possess highest antifungal property against A. flavus as compared to A. niger [34].

Figure 3 
               Antifungal activity of N. tabacum SPG38, K399, SN1, and SN2 varieties against various fungal strains.
Figure 3

Antifungal activity of N. tabacum SPG38, K399, SN1, and SN2 varieties against various fungal strains.

Then, we aimed at investigating a potential mechanism of action by which the extracts may exert their anti-infective activity. In this context, urease is a metalloenzyme that contributes to the regulation of nitrogen metabolism, as it hydrolyzes urea into ammonia and carbamate. Most importantly, it is conserved in many organisms among plants, bacteria, and fungi [35]. Additionally, urease is a target investigated, also by means of computational tools, in the field of drug discovery applied to anti-infective agents [36].

The calculated IC50 values of the extracts as jack bean urease inhibitors for K399, SPG28, SN1, and SN2 were 37.09 ± 2.76, 22.87 ± 1.54, 41.98 ± 2.01, and 10.11 ± 0.98 μg/mL, respectively. For thiourea, which was used as a positive control, an IC50 value of 21.54 ± 1.00 μg/mL was calculated. On the other hand, the urease inhibitory potential of SPG28 extract was the highest at 200 µg/mL (highest concentration tested). The results, listed in Table 1, demonstrate that the extract inhibit the enzyme, and that the lowest IC50 value was observed for SN2 variety.

Table 1

Urease inhibitory activity of N. tabacum extracts

Extract/standard % Inhibition at 200 µg/mL IC50 (µg/mL)
K399 75.32 37.09 ± 2.76
SPG28 89.43 22.87 ± 1.54
SN1 69.32 41.98 ± 2.01
SN2 91.54 10.11 ± 0.98
Thiourea 98.45 21.54 ± 1.00

Eventually, we carried out a preliminary computational study to investigate the binding mode to the same macromolecular target examined in vitro of two highly representative components of the polyphenolic fraction of N. tabacum leaves, namely, rutin and chlorogenic acid [1214]. These compounds have been widely investigated for their multitarget activity [3740]. Indeed, computational tools are nowadays widely used in the drug discovery workflow [41,42]. Docking studies showed that rutin and chlorogenic acid may interact with the active site of urease, in close proximity to the metal ions within the protein (Figure 4a). More specifically, a more promising calculated binding energy values was calculated for the first compound (−8.2 kcal/mol) when compared to the latter (−7.1 kcal/mol). A detailed view of the predicted interaction patterns with the enzyme is reported in Figure 4b and c.

Figure 4 
               Computed binding mode for rutin (orange) and chlorogenic acid (green) with urease (PDB ID 3LA4) (a) A detailed view of the residues interacting with the natural compounds is depicted for rutin (b) and chlorogenic acid (c). The involved amino acids are highlighted in blue.
Figure 4

Computed binding mode for rutin (orange) and chlorogenic acid (green) with urease (PDB ID 3LA4) (a) A detailed view of the residues interacting with the natural compounds is depicted for rutin (b) and chlorogenic acid (c). The involved amino acids are highlighted in blue.

4 Conclusion

In this study, the presence of bioactive components in N. tabacum K399, SPG28, SN1, and SN2 extracts was highlighted. The four varieties contain alkaloids, flavonoids, polyphenols, and carbohydrates, plus some classes of compounds that specifically characterize the single varieties.

In vitro studies demonstrated that N. tabacum extracts, and K399 in particular, possess significant antibacterial and antifungal activities. Besides, enzymatic inhibition and computational studies support the hypothesis that urease inhibition is involved in the observed biological effect.

Taken together, the computational and experimental studies support the role of N. tabacum extracts as anti-infective agents, in a field of research in which the identification of novel remedies is an urgent need [15,43].

Although further studies are needed to clarify the involvement of single compounds at the molecular level, these findings pave the way for the identification of novel classes of nature-inspired anti-infective agents from N. tabacum leaves.

Acknowledgments

Authors are thankful to Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R47), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

  1. Funding information: G.R. acknowledges funding from University of Brescia. Authors are thankful to Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R47), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabi.

  2. Author contributions: Literature search: G.R.; experimental studies: M.H.K., M.S., A.A.K., N.A., R.S., and G.R.; data analysis: M.H.K., M.S., A.A.K., N.A., R.S., and G.R.; manuscript preparation and manuscript revision: A.R., T.A.S., and R.S.

  3. Conflict of interest: Prof. Abdur Rauf is a member of the Editorial Board of Open Chemistry. The other authors declare no conflict of interest.

  4. Ethical approval: The conducted research is not related to either human or animal use.

  5. Data availability statement: All data generated or analyzed during this study are included in this published article.

References

[1] Briški F, Horgas N, Vuković M, Gomzi Z. Aerobic composting of tobacco industry solid waste—simulation of the process. Clean Technol Environ Policy. 2003;5(3–4):295–301.10.1007/s10098-003-0218-7Search in Google Scholar

[2] Leal M, Moreno MA, Albornoz PL, Mercado MI, Zampini IC, Isla MI. Nicotiana tabacum leaf waste: Morphological characterization and chemical-functional analysis of extracts obtained from powder leaves by using green solvents. Molecules. 2023;28(3):1396.10.3390/molecules28031396Search in Google Scholar PubMed PubMed Central

[3] Fatica A, Di Lucia F, Marino S, Alvino A, Zuin M, De Feijter H, et al. Study on analytical characteristics of Nicotiana tabacum L., cv. Solaris biomass for potential uses in nutrition and biomethane production. Sci Rep. 2019;9(1):16828.10.1038/s41598-019-53237-8Search in Google Scholar PubMed PubMed Central

[4] Hossain AM, Salehuddin SM. Analytical determination of nicotine in tobacco leaves by gas chromatography–mass spectrometry. Arab J Chem. 2013;6(3):275–8.10.1016/j.arabjc.2010.10.006Search in Google Scholar

[5] Mehmood F, Abdullah, Ubaid Z, Shahzadi I, Ahmed I, Waheed MT, et al. Plastid genomics of Nicotiana (Solanaceae): insights into molecular evolution, positive selection and the origin of the maternal genome of Aztec tobacco ( Nicotiana rustica). PeerJ. 2020;8:e9552.10.7717/peerj.9552Search in Google Scholar PubMed PubMed Central

[6] Zou X, Bk A, Abu-Izneid T, Aziz A, Devnath P, Rauf A, et al. Current advances of functional phytochemicals in Nicotiana plant and related potential value of tobacco processing waste: A review. Biomed Pharmacother. 2021;143:112191.10.1016/j.biopha.2021.112191Search in Google Scholar PubMed

[7] Laszlo C, Kaminski K, Guan H, Fatarova M, Wei J, Bergounioux A, et al. Fractionation and extraction optimization of potentially valuable compounds and their profiling in six varieties of two nicotiana species. Molecules. 2022;27(22):8105.10.3390/molecules27228105Search in Google Scholar PubMed PubMed Central

[8] Jassbi AR, Zare S, Asadollahi M, Schuman MC. Ecological roles and biological activities of specialized metabolites from the genus Nicotiana. Chem Rev. 2017;117(19):12227–80.10.1021/acs.chemrev.7b00001Search in Google Scholar PubMed

[9] Banožić M, Babić J, Jokić S. Recent advances in extraction of bioactive compounds from tobacco industrial waste - a review. Ind Crop Products. 2020;144:112009.10.1016/j.indcrop.2019.112009Search in Google Scholar

[10] Shen J, Shao X. Determination of tobacco alkaloids by gas chromatography–mass spectrometry using cloud point extraction as a preconcentration step. Anal Chim Acta. 2006;561(1–2):83–7.10.1016/j.aca.2006.01.002Search in Google Scholar

[11] Zou X, Bk A, Rauf A, Saeed M, Al-Awthan YS, A. Al-Duais M, et al. Screening of polyphenols in tobacco (Nicotiana tabacum) and determination of their antioxidant activity in different tobacco varieties. ACS Omega. 2021;6(39):25361–71.10.1021/acsomega.1c03275Search in Google Scholar PubMed PubMed Central

[12] Kurt D. Impacts of environmental variations on quality and chemical contents of oriental tobacco. Contrib Tob Nicotine Res. 2021;30(1):50–62.10.2478/cttr-2021-0006Search in Google Scholar

[13] Xie F, Yu A, Hou D, Liu H, Ding L, Zhang S. Rapid and sensitive analysis of eight polyphenols in tobacco by rapid resolution liquid chromatogarphy. AJAC. 2011;2(8):929–33.10.4236/ajac.2011.28107Search in Google Scholar

[14] Chittasupho C, Chaobankrang K, Sarawungkad A, Samee W, Singh S, Hemsuwimon K, et al. Antioxidant, anti-inflammatory and attenuating intracellular reactive oxygen species activities of Nicotiana tabacum var. Virginia leaf extract phytosomes and shape memory gel formulation. Gels. 2023;9(2):78.10.3390/gels9020078Search in Google Scholar PubMed PubMed Central

[15] Hobson C, Chan AN, Wright GD. The antibiotic resistome: A guide for the discovery of natural products as antimicrobial agents. Chem Rev. 2021;121(6):3464–94.10.1021/acs.chemrev.0c01214Search in Google Scholar PubMed

[16] Vengurlekar S, Sharma R, Trivedi P. Efficacy of some natural compounds as antifungal agents. Pharmacogn Rev. 2012;6(12):91.10.4103/0973-7847.99942Search in Google Scholar PubMed PubMed Central

[17] Hamaamin Hussen N, Hameed Hasan A, Jamalis J, Shakya S, Chander S, Kharkwal H, et al. Potential inhibitory activity of phytoconstituents against black fungus: In silico ADMET, molecular docking and MD simulation studies. Comput Toxicol. 2022;24:100247.10.1016/j.comtox.2022.100247Search in Google Scholar PubMed PubMed Central

[18] Ameya G, Manilal A, Merdekios B. In vitro antibacterial activity and phytochemical analysis of Nicotiana tabacum L. extracted in different organic solvents. Open Microbiol J. 2017;11(1):352–9.10.2174/1874285801711010352Search in Google Scholar PubMed PubMed Central

[19] Yang YL, Song BQ, Long JY, Fang DH, Hu DB, Song N, et al. Antifungal constituents from Nicotiana tabacum with the Wz locus infected by Phytophthora nicotianae. Results Chem. 2021;3:100196.10.1016/j.rechem.2021.100196Search in Google Scholar

[20] Flores JS, Ricalde RV. The secretions and exudates of plants used in Mayan traditional medicine. J Herbs Spices Med Plants. 1996;4(1):53–9.10.1300/J044v04n01_07Search in Google Scholar

[21] Bawazeer S, Rauf A, Nawaz T, Khalil AA, Javed MS, Muhammad N, et al. Punica granatum peel extracts mediated the green synthesis of gold nanoparticles and their detailed in vivo biological activities. Green Process Synth. 2021;10(1):882–92.10.1515/gps-2021-0080Search in Google Scholar

[22] Sharma R, Amin H, Galib, Prajapati PK. Validation of standard manufacturing procedure of Guḍūcī sattva (aqueous extract of Tinospora cordifolia (Willd.) Miers) and its tablets. Anc Sci Life. 2013;33(1):27–34.10.4103/0257-7941.134564Search in Google Scholar PubMed PubMed Central

[23] Prommaban A, Kheawfu K, Chittasupho C, Sirilun S, Hemsuwimon K, Chaiyana W. Phytochemical, antioxidant, antihyaluronidase, antityrosinase, and antimicrobial properties of Nicotiana tabacum L. leaf extracts. N Parajuli, curatore. Evid-Based Complement Altern Med. 2022;2022:1–11.10.1155/2022/5761764Search in Google Scholar PubMed PubMed Central

[24] Bawazeer S, Khan I, Rauf A, Aljohani ASM, Alhumaydhi FA, Khalil AA, et al. Black pepper (Piper nigrum) fruit-based gold nanoparticles (BP-AuNPs): Synthesis, characterization, biological activities, and catalytic applications – A green approach. Green Process Synth. 2022;11(1):11–28.10.1515/gps-2022-0002Search in Google Scholar

[25] Alhumaydhi FA, Khan I, Rauf A, Qureshi MN, Aljohani ASM, Khan SA, et al. Synthesis, characterization, biological activities, and catalytic applications of alcoholic extract of saffron (Crocus sativus) flower stigma-based gold nanoparticles. Green Process Synth. 2021;10(1):230–45.10.1515/gps-2021-0024Search in Google Scholar

[26] Saeed A, Mahmood SU, Rafiq M, Ashraf Z, Jabeen F, Seo SY. Iminothiazoline-sulfonamide hybrids as jack bean urease inhibitors; synthesis, kinetic mechanism and computational molecular modeling. Chem Biol Drug Des. 2016;87(3):434–43.10.1111/cbdd.12675Search in Google Scholar PubMed

[27] Imran M, Waqar S, Ogata K, Ahmed M, Noreen Z, Javed S, et al. Identification of novel bacterial urease inhibitors through molecular shape and structure based virtual screening approaches. RSC Adv. 2020;10(27):16061–70.10.1039/D0RA02363ASearch in Google Scholar PubMed PubMed Central

[28] Hanwell MD, Curtis DE, Lonie DC, Vandermeerschd T, Zurek E, Hutchison GR. Avogadro: An advanced semantic chemical editor, visualization, and analysis platform. J Cheminform. 2012;4:1–17.10.1186/1758-2946-4-17Search in Google Scholar PubMed PubMed Central

[29] Trott O, Olson AJ. AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J Comput Chem. 2010;31(2):455–61.10.1002/jcc.21334Search in Google Scholar PubMed PubMed Central

[30] Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, et al. UCSF chimera? A visualization system for exploratory research and analysis. J Comput Chem. 2004;25(13):1605–12.10.1002/jcc.20084Search in Google Scholar PubMed

[31] Fu B, Ji X, Zhao M, He F, Wang X, Wang Y, et al. The influence of light quality on the accumulation of flavonoids in tobacco ( Nicotiana tabacum L.) leaves. J Photochem Photobiol B Biol. 2016;162:544–9.10.1016/j.jphotobiol.2016.07.016Search in Google Scholar PubMed

[32] Popova V, Gochev V, Girova T, Iliev I, Ivanova T, Stoyanova A. Extraction products from tobacco – aroma and bioactive compounds and activities. CBC. 2015;11(1):31–7.10.2174/157340721101150804150016Search in Google Scholar

[33] Shekins O, Dorathy E, Labaran M, Joel P. Phytochemical screening of tobacco (Nicotiana tabacum) and its effects on some haematological parameters and histopathology of liver and brain in male rats. IJBCRR. 2016;14(4):1–9.10.9734/IJBCRR/2016/29645Search in Google Scholar

[34] Jabeen K, Naeem Z, Maimoona A, Khan B, Iqbal S. Evaluation of fungicidal potential of Ocimum sanctum L. and Nicotiana tabacum L. against Aspergillus flavus and Aspergillus niger. PAKJBOT [Internet]. 2020;52(6). [citato 4 aprile 2023]. http://pakbs.org/pjbot/paper_details.php?id=8580.10.30848/PJB2020-6(8)Search in Google Scholar

[35] Kappaun K, Piovesan AR, Carlini CR, Ligabue-Braun R. Ureases: Historical aspects, catalytic, and non-catalytic properties – A review. J Adv Res. 2018;13:3–17.10.1016/j.jare.2018.05.010Search in Google Scholar PubMed PubMed Central

[36] Aniceto N, Bonifácio VDB, Guedes RC, Martinho N. Exploring the chemical space of urease inhibitors to extract meaningful trends and drivers of activity. J Chem Inf Model. 2022;62(15):3535–50.10.1021/acs.jcim.2c00150Search in Google Scholar PubMed PubMed Central

[37] Ribaudo G, Memo M, Gianoncelli A. Multi-target natural and nature-inspired compounds against neurodegeneration: A focus on dual cholinesterase and phosphodiesterase inhibitors. Appl Sci. 2021;11(11):5044.10.3390/app11115044Search in Google Scholar

[38] Ongaro A, Zagotto G, Memo M, Gianoncelli A, Ribaudo G. Natural phosphodiesterase 5 (PDE5) inhibitors: A computational approach. Nat Product Res. 2021;35(10):1648–53.10.1080/14786419.2019.1619726Search in Google Scholar PubMed

[39] Ribaudo G, Oselladore E, Ongaro A, Zagotto G, Memo M, Gianoncelli A. Enhanced G-quadruplex selectivity of flavonoid glycoside rutin over quercetin. Nat Product Res. 2022;36(13):3469–73.Search in Google Scholar

[40] Islam MdR, Rahman MdM, Dhar PS, Nowrin FT, Sultana N, Akter M, et al. The role of natural and semi-synthetic compounds in ovarian cancer: Updates on mechanisms of action, current trends and perspectives. Molecules. 2023;28(5):2070.10.3390/molecules28052070Search in Google Scholar PubMed PubMed Central

[41] Valentin Y, Fail G, Pavel U. Shapley values to explain machine learning models of school student’s academic performance during COVID-19. 3C TIC. 2022;11(2):136–44.10.17993/3ctic.2022.112.136-144Search in Google Scholar

[42] Bawankar BU, Chinnaiah K. Implementation of ensemble method on DNA data using various cross validation techniques. 3C Tecnología. 2022;11(2):59–69.10.17993/3ctecno.2022.v11n2e42.59-69Search in Google Scholar

[43] Qu L, Chen Z. A mathematical model of plasmid-carried antibiotic resistance transmission in two types of cells. Appl Math Nonlinear Sci. 2022. https://doi.org/10.2478/amns.2021.2.00178.10.2478/amns.2021.2.00178Search in Google Scholar

Received: 2023-05-01
Revised: 2023-05-22
Accepted: 2023-05-23
Published Online: 2023-06-20

© 2023 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Downloaded on 3.12.2023 from https://www.degruyter.com/document/doi/10.1515/chem-2022-0343/html
Scroll to top button