Open Access

Molecular docking and inhibition studies on the interactions of Bacopa monnieri’s potent phytochemicals against pathogenic Staphylococcus aureus

  • Talha Bin Emran1, 2Email author,
  • Md Atiar Rahman2,
  • Mir Muhammad Nasir Uddin3,
  • Raju Dash1,
  • Md Firoz Hossen1,
  • Mohammad Mohiuddin1 and
  • Md Rashadul Alam1
DARU Journal of Pharmaceutical Sciences201523:26

https://doi.org/10.1186/s40199-015-0106-9

Received: 10 July 2014

Accepted: 1 March 2015

Published: 17 April 2015

Abstract

Background

Bacopa monnieri Linn. (Plantaginaceae), a well-known medicinal plant, is widely used in traditional medicine system. It has long been used in gastrointestinal discomfort, skin diseases, epilepsy and analgesia. This research investigated the in vitro antimicrobial activity of Bacopa monnieri leaf extract against Staphylococcus aureus and the interaction of possible compounds involved in this antimicrobial action.

Methods

Non-edible plant parts were extracted with ethanol and evaporated in vacuo to obtain the crude extract. A zone of inhibition studies and the minimum inhibitory concentration (MIC) of plant extracts were evaluated against clinical isolates by the microbroth dilution method. Docking study was performed to analyze and identify the interactions of possible antimicrobial compounds of Bacopa monnieri in the active site of penicillin binding protein and DNA gyrase through GOLD 4.12 software.

Results

A zone of inhibition studies showed significant (p < 0.05) inhibition capacity of different concentrations of Bacopa monnieri’s extract against Staphylococcus aureus. The extract also displayed very remarkable minimum inhibitory concentrations (≥16 μg/ml) which was significant compared to that (≥75 μg/ml) of the reference antibiotic against the experimental strain Staphylococcus aureus. Docking studies recommended that luteolin, an existing phytochemical of Bacopa monnieri, has the highest fitness score and more specificity towards the DNA gyrase binding site rather than penicillin binding protein.

Conclusions

Bacopa monnieri extract and its compound luteolin have a significant antimicrobial activity against Staphylococcus aureus. Molecular binding interaction of an in silico data demonstrated that luteolin has more specificity towards the DNA gyrase binding site and could be a potent antimicrobial compound.

Keywords

Bacopa monnieri L Staphylococcus aureus Antibacterial activityMICMolecular dockingGOLD in silico drug discovery

Background

Effective therapeutic options to combat Staphylococcus aureus infection are still limited. And this makes a major burden to control Staphylococcus aureus [1]. S. aureus is a commensal Gram-positive bacterium, which colonizes in human nasal mucosa either permanently or transiently [2], causing severe infections eventually [3,4]. But the clinical symptoms are not visualized until the immune system is affected [5]. However, the major problem in controlling the S. aureus infection is the occurrence of multi-drug resistance produced mainly due to the misuse of antibiotics. This is also caused by the treatment of non-bacterial infections with antibiotics or inadequate compliance with the regulations for drug ingestion. Therefore, new therapeutic molecule is an urgence to be introduced as antibiotic in the treatment of multi-drug resistant S. aureus. Several studies have proposed that phytocompounds are the best alternative to develop therapies for multidrug resistant bacterial infections [6-8].

Bacopa monnieri (L.) Wellst. (Family: Plantaginaceae) is known as Herpestis monniera. It is a water hyssop or “Brahmi” and is reputed as Ayurvedic medicine. It is used for gastrointestinal discomfort, rejuvenation, promoting memory and intellect, skin disorders, epilepsy, pyrexia and analgesia [9]. Number of biologically active compounds has been isolated from this plant. GC-MS analysis of the leaf extract of this plant showed the presence of tetracyclic triterpenoids, saponin, bacosides A and B phytosterols, hersaponin, d-mannitol, flavonoids viz., luteolin-7-glucoside, apigenin-7-glucocronide, alkaloids such as nicotine and herpestine, betulic acid, β-sitosterol, stigma-sterol and its esters, aspartic acid, glutamic acid and serine [10]. Despite enormous possibilities of this plant, no compound-activity relationship study has been conducted yet to investigate the phytochemicals responsible for its antimicrobial action. This research evaluates the in vitro antimicrobial activity of B. monnieri against S. aureus establishing the interaction of existing phytocompounds involved in this antimicrobial activity through an in silico molecular docking analysis [11,12].

Methods

Media and chemicals

Mueller-Hinton broth and agar media (Hi media, India; final pH 7.3 ± 0.2 at 25°C), was used for the determination of MIC and antibacterial activity. Tetracycline (50 μg/disk) and ampicillin disks (50 μg/disk) were procured from Oxoid, England.

Collection and identification of plant materials

The plant B. monnieri was selected by Talha Bin Emran, Lecturer, Department of Pharmacy, BGC Trust University Bangladesh. Fresh leaves of B. monnieri were collected from the Chittagong University hilly forest on December 2013. The plant was identified by Dr. Shaikh Bokhtear Uddin, Taxonomist and Associate Professor, Department of Botany, University of Chittagong-4331, Bangladesh. A voucher specimen (Accession Number: 36285) containing the identification characteristics of the plant has been preserved in the Bangladesh National Herbarium for future reference.

Preparation of crude ethanol extract

The fresh leaves of B. monnieri were washed immediately after collection and chopped into small pieces, air dried and ground (Moulinex Blender AK-241, Moulinex, France) into powder (40-80 mesh, 500 g). The resulting powder was soaked in an Erlenmeyer flask of absolute ethanol (2.0 L, at room temperature) and left for seven days allowing occasional stirring of the flask. Filtrate obtained through cheesecloth and Whatman filter paper No. 1 was concentrated under reduced pressure at the temperature below 50°C using a rotatory evaporator (RE 200, Bibby Sterling Ltd., UK). The extracts (yield 4.4 - 5.6% w/w) were all placed in glass Petri dishes (90 × 15 mm, Pyrex, Germany) to allow an air-dry for complete evaporation of solvent.

Study of antibacterial activity

Bacterial strain

Gram-positive Staphylococcus aureus (ATCC6538) was used for screening the antibacterial effect of the plant extract. Bacterial strain was collected from the Microbiology Division of Bangladesh Council of Scientific and Industrial Research (BCSIR), Chittagong-4220, Bangladesh.

Preparation of sample solutions

Small amount (1, 2 and 3 mg) of solid sample was dissolved in a definite volume (1 ml) of DMSO to make a solution of 1 mg/ml. DMSO was chosen as solvent because it does not have any inhibitory effect on bacterial cultures and it has extraordinary capacity to dissolve solid sample completely.

Media preparation

The bacterial strain was grown and maintained on Standard Nutrient Agar (DIFCO) media (Hi media, India) at 37°C and pH 7.3 ± 0.2. The bacterium was sub-cultured overnight in nutrient agar broth which was further adjusted to obtain turbidity comparable to McFarland (0.5) standard when required. Test tube slants of nutrient agar medium were prepared for the maintenance of culture. Then a small amount of the collected microorganism was transferred to the test tubes with the help of sterilized needles. A number of test tubes were freshly cleaned for bacterial pathogen. The inoculated slants were inoculated at temperature below laboratory condition.

Antibacterial screening through disk diffusion technique

The antibacterial activity of the extract was determined by disk diffusion technique (National Committee for Clinical Laboratory Standards, NCCLS, 2002). The test microbes were taken from the broth culture with inoculating loop and transferred to test tubes containing 5.0 ml sterile distilled water. The inoculums were added until the turbidity was equal to 0.5 McFarland standards. Cotton swab was then used to inoculate the test tube suspension onto the surface of the Muller Hinton agar plate and the uniformly swabbed plates were then allowed to dry. On the dry inoculated surfaces prepared paper disks were placed as follows. Sterilized Whatman paper disks (6 mm in diameter) were prepared previously by punching the filter paper with the help of a punch machine. After that the disks were placed upon 0.5 ml of the desired solution (1, 2 and 3 mg/disk) of the extract. After each application the disks were allowed to the temperature 40°C (one minute) for drying purposes. The disks containing plant extract were placed with blunt-nosed thumb forceps on the inoculated plates at equidistance in a circle. These plates were kept for 4-6 h at a low temperature (<8°C) to allow for diffusion of the extract from the disk into the medium. The same was done for negative control (ethanol). The plates were incubated at 37°C for 24 h. The experiment was conducted in triplicates. Antimicrobial activity was determined by a measurement of the inhibition zone diameter (mm) around each test organism.

Minimum inhibitory concentration (MIC) determination

Minimum inhibitory concentration was determined by the microdilution method using serially diluted (2 folds) plant extract according to the National Committee for Clinical Laboratory Standards (NCCLS) (National Committee for Clinical Laboratory Standards, 2000). The MIC of the extract was determined by the dilution of B. monnieri extract with the concentrations of 0.0-25, 0.0-50, 0.0-75, 0.0-100, 0.0-125, and 0.0-150 μg/ml. Equal volume of each extract and nutrient broth was mixed in a test tube. Specifically 0.1 ml of standardized inoculum (1-2 × 107 cfu/ml) was added in each tube. The tubes were incubated aerobically at 37°C for 18-24 h. Two control tubes were maintained for each test batch. These included antibiotic control (a tube containing extract and growth media without inoculum) and organism control (a tube containing the growth medium, saline and the inoculum). The lowest concentration (highest dilution) of the extract that produced no visible bacterial growth (no turbidity) was considered as MIC.

Statistical analysis

All data are presented as mean ± standard deviation (SD). The data were analyzed by a statistical software statistical package for social science (SPSS, version 18.0, IBM Corporation, NY, USA) using Tukey’s multiple range post hoc tests. The values were considered significantly different at p < 0.05.

Docking approach

To have a better understanding about the inhibitory mechanism as well as the mode of interactions of the phytochemical compounds of the crude extract, docking analysis was accomplished using the GOLD 4.12 package. Two primary drug-target-pathways, i.e., penicillin-binding protein [13] and DNA gyrase [14] of S. aureus were subject to forecast the mechanism of plant derived compounds. Protein X-ray structure pdb ID: 3vsl and 3g7b was retrieved from protein data bank [15] and compared with standard inhibitor orientation in crystal structure. From the literature review, all compounds represented in Figure 1 were drawn in Symyx Draw 4.0 and to prepare for docking using the Sybyl 7.3 Molecular Modeling Suite of Tripos, Inc. Three dimensional (3D) conformations generated by using Concord 4.0 [16]; hydrogen atoms were added and charges were loaded using the Gasteiger and Marsili charge calculation method [17]. Basic amines were protonated and acidic carboxyl groups were de-protonated prior to charge calculation. The ligands were minimized with the Tripos Force Field prior to docking using the Powell method with an initial Simplex [18] optimization and 1000 interactions or gradient termination at 0.01 kcal/(mol*A). The input ligand file format was mol2 for all docking programs investigated. Three dimensional structure of standard drugs i.e., penicillin G and ciprofloxacin was occupied from zinc databases. The docking tool “GOLD” utilizes genetic algorithm to explore the rotational flexibility of receptor hydrogen’s and ligand conformational flexibility [19]. Such GOLD docking was carried out using the wizard with default parameters population size (100); selection pressure (1.1); number of operations (10,0 00); number of islands (1); niche size (2); and operator weights for migrate (0), mutate (100), and crossover (100). The active site with a 10 Å radius sphere was defined by selecting an active site residue of protein. Default genetic algorithm settings were used for all calculations and a set of 10 solutions was saved for each ligand. GOLD was used by a GoldScore fitness function. GoldScore is a molecular mechanism like function and has been optimized for the calculation of binding positions of ligand. It takes into account for four terms:
$$ \mathbf{Fitness}={\mathbf{S}}_{\left(\mathrm{h}\mathrm{b}\_\mathrm{e}\mathrm{x}\mathrm{t}\right)}+\mathbf{1.3750}*{\mathbf{S}}_{\left(\mathrm{v}\mathrm{d}\mathrm{w}\_\mathrm{e}\mathrm{x}\mathrm{t}\right)}+{\mathbf{S}}_{\left(\mathrm{h}\mathrm{b}\_\mathrm{i}\mathrm{n}\mathrm{t}\right)}+\mathbf{1.0000}*{\mathbf{S}}_{\left(\mathrm{i}\mathrm{n}\mathrm{t}\right)} $$
$$ {\mathbf{S}}_{\left(\mathrm{i}\mathrm{n}\mathrm{t}\right)}={\mathbf{S}}_{\left(\mathrm{v}\mathrm{d}\mathrm{w}\_\mathrm{i}\mathrm{n}\mathrm{t}\right)}+{\mathbf{S}}_{\left(\mathrm{tors}\right)} $$
Where, S hb_ext is the protein-ligand hydrogen bonding and s vdw_ext are the Vanderwaals interactions between protein and ligand. S hb_int are the intramolecular hydrophobic interactions whereas S vdw_ int is the contribution due to intramolecular strain in the ligand.
Figure 1

2D structure of all compounds of B. monnieri.

Results

In vitro antimicrobial assay

Results for the antibacterial activity of B. monnieri extract showed that the mean zone of inhibition (13.0-15.0 mm) produced by the extract was close to those produced by the reference antibiotics, i.e., tetracycline and ampicillin which had the zone of inhibitions between 16 to 20 mm. The extract of three different concentrations (1, 2 and 3 mg/disk) produced significant (p < 0.05) zone of inhibition against S. aureus and the values were 13.33 ± 2.08, 13.33 ± 2.08 and 15.33 ± 1.52 for 1, 2 and 3 mg/disk, respectively. The result of antibacterial activity of B. monnieri ethanol extract is shown in Table 1.
Table 1

in vitro antibacterial activity of B. monnieri ethanol extract

Bacterial type

Test organism

Source ID (ATCC)

Diameter of zone of inhibition (mm)

Bacopa monnieri

Standard antibiotics

Gram + ve

  

1 mg/disk

2 mg/disk

3 mg/disk

Tetracycline (50 μg/disk)

Ampicillin (50 μg/disk)

Staphylococcus aureus

6538

13.33 ± 2.08a

13.33 ± 2.08b

15.33 ± 1.52c

16.00 ± 3.54d

20.00 ± 1.60e

Data are shown as mean ± SD for triplicate of concentration. Different superscript letters (a-e) shown in the data indicate that the values are significantly different (Tukey’s multiple range, post hoc test, p < 0.05) from each other.

Minimum inhibitory concentration

The minimum inhibitory concentrations of B. monnieri leaf extract for different bacterial strains were ranged from 25 to 100 μl/ml (Table 2). The arbitrary MIC against the Gram-positive bacteria S. aureus was greater than or equal to 75 for the extract and 16 for the reference antibiotic tetracycline.
Table 2

Minimum inhibitory concentrations (MIC) of B. monnieri and tetracycline against Staphylococcus aureus

Test organism

MIC of Bacopa monnieri extract (μg/ml)

MIC of tetracycline (μg/ml)

Staphylococcus aureus

≥75

≥16

Docking experiments

Considering the results obtained in in vitro study, it was thought worthy to perform molecular docking studies which correlate both in silico and in vitro results. Docking studies are used at different stages of drug discovery such as to predict a ligand-receptor interaction and also to rank the compounds based on the binding energies or fitness score [20]. In our present study, docking of tested compounds with the primary drug pathway for S. aureus was performed, and the corresponding fitness score was also determined as shown in Table 3. The interacting energies followed the order of the best fitness core. Highest fitness scored compound was further subjected to compare its binding pattern and molecular interaction with the standard drug penicillin G and ciprofloxacin.
Table 3

Gold fitness score of B. monnieri’s all compounds against DNA gyrase and penicillin binding protein

DNA gyrase

Penicillin binding protein

Compound name

Fitness score

S(hb_ext)

S(vdw_ext)

S(hb_int)

S(int)

Fitness Score

S(hb_ext)

S(vdw_ext)

S(hb_int)

S(int)

Apigenin

46.59

5.57

36.00

0.00

-8.48

41.73

7.29

30.70

0.00

-7.77

Rosavin

51.58

5.44

42.31

0.00

-12.03

41.96

8.88

31.27

0.00

-9.92

Quercetin

45.71

6.04

37.32

0.00

-11.64

40.14

9.37

30.55

0.00

-11.23

Feruloyl glucoside

49.23

8.14

42.78

0.00

-17.74

32.42

4.76

35.88

0.00

-21.68

Loliolide

29.61

0.10

23.41

0.00

-2.68

31.02

3.34

22.10

0.00

-2.71

Luteolin-7-glucoside

47.87

10.04

42.46

0.00

-20.56

43.85

2.46

42.08

0.00

-16.48

Apigenin-7- glucocronide

45.63

8.34

39.19

0.00

-16.59

43.35

8.74

37.80

0.00

-17.36

D-mannitol

32.55

9.88

23.13

0.00

-9.13

30.21

8.15

20.48

0.00

-6.11

L-asperatic acid

33.35

17.74

17.07

0.00

-7.86

28.29

14.01

16.69

0.00

-8.66

Luteolin

53.77

11.23

37.44

0.00

-8.94

45.35

7.81

41.67

0.00

-19.77

Penicillin G

-------

-------

-------

-------

-------

46.48

2.62

35.14

0.00

-4.46

Ciprofloxacine

46.48

0.21

42.47

0.00

-8.94

--------

-------

-------

------

-------

In the docking studies of DNA gyrase binding site, luteolin among the other tested compounds has the highest fitness score 53.77 compared with the highest fitness score 46.48 of ciprofloxacin. Molecular binding pattern of ciprofloxacin revealed that it has two hydrogen bonds with ARG144 and GLY85 consisting of hydrogen bonding distances 2.634 Å and 2.476 Å shown in Figure 2. These two hydrogen bonding residues in luteolin are found to be similar with different hydrogen bonds viz. 2.641 Å for ARG144 and 2.520 Å for GLY85. Additionally, it also formed two other hydrogen bonds with ARG84 and ASP81 having a bonding distance of 2.932 Å and 2.956 Å.
Figure 2

Interaction and superimposed structure of compound of luteolin and ciprofloxacin with DNA gyrase.

For the most potent inhibitor of penicillin binding protein, luteolin showed the highest fitness score among the other tested compounds viz., 45.35 fitness score compared to its reference standard drug penicillin G 46.48. In context of different binding patterns, luteolin has formed the three hydrogen bonds SER429, THR621 and THR619 where bonding distances were 3.020, 2.798 and 2.331. On the other hand, reference drug penicillin G formed hydrogen bonds with ASN450, SER778, THR621 and GLN524 with corresponding hydrogen bonds 2.956 Å, 2.968 Å, 2.556 Å and 3.031 Å, respectively. Binding mode and related interactions are summarized in Figure 3.
Figure 3

Interaction and superimposed structure of compound of luteolin and penicillin G with penicillin binding protein.

The emergence of bacterial resistance to current clinical drugs has brought intention to develop novel antimicrobial agents for selectively inhibiting the constantly evolved bacterial targets which have been also continually promoted with challenges. Presently known target of Staphyloccus sp. includes PBP (penicillin binding protein) of peptidoglycan biosynthesis pathway where beta-lactam antibiotics were known to be effective against it [21]. A different prescribing drug i.e. Fluroquinolone, DNA Gyrase A enzyme which is essential for the replication and super-coiling of DNA, is the main target at this case. But according to Stephen et al., a highly significant association between Levofloxacin and Ciprofloxacin treatment and consequent isolation of MRSA is reported [22]. However, in this research, molecular docking analysis suggested that luteolin has the more specificity towards the DNA gyrase binding site than penicillin binding protein. Regarding the obtained results, luteolin could serve as an appropriate starting point for designing new chemical entities as potent S. aureus inhibitor.

Discussion

Plants have long been a very important source of drug and many plants have been screened whether they contain compounds with therapeutic activity. Therefore, it is vital to evaluate the antimicrobial activity of B. monnieri. The bacterial strain was chosen to be studied as it is an important pathogen and rapidly develop antibiotic resistance with its increased uses. In disk diffusion technique, the mean zone of inhibition produced by the commercial antibiotic, tetracycline and ampicillin, was larger than that produced by ethanol extract. It may be attributed to the fact that the plant extract being in crude form contains a smaller concentration of bioactive compounds. In classifying the antimicrobial activity it would be generally expected that a greater number would be active against Gram-positive than Gram-negative bacteria. Apart from this, the higher MIC value is an indication that either the plant extracts are less effective on bacteria or the organism has the potential to develop antibiotic resistance. On the contrary, the low MIC value for bacteria is an indication of the higher efficacy of the plant extracts.

Most of the pathogenic bacteria have developed resistance to currently available antibiotics due to their misuse or overuse. This situation has led to an urgent need to explore different sources of efficient, less toxic and cost-effective antimicrobial agents [23,24]. Medicinal plants play a major role and constitute the backbone of traditional medicine. According to the World Health Organization (WHO) estimate, 80% of populations in developing countries rely exclusively on traditional medicine for their healthcare need. Moreover, 20% of the available allopathic drugs have an active principal obtained from higher plants [25]. Recognizing the significance of indigenous medicinal plants WHO states in its 1997 guideline that locally available effective plants may be used as substitutes for drugs. Research work on medicinal plants and exchange of obtained information will go a long way in scientific exploration of medicinal plants for the benefit of mankind. This will ultimately decrease our dependence on synthetic drugs [26]. Plant synthesizes natural products as its chemical weapon that arrests the growth of environmental microbes [27] and some plants inhibit the growth of potential human pathogens too. In the current study, in vitro MIC of B. monnieri leaf parts, prescribed in indigenous system of medicine, that are available in the local market or growing in Bangladesh and India were evaluated against local clinical bacterial isolate of S. aureus. Determination of MIC of this plant is important to find out the best plant that eradicates infectious agents (Table 2). Clinicians also select the antibiotic on the basis of their MIC value to treat infectious diseases. Plant extracts having MIC below 8000 μg/ml have been reported as therapeutically effective [28]. Our results for B. monnieri implicated a significant MIC value (below or equal to 75 μg/ml) in this study. This significance suggests that we have identified antimicrobial activity of plant that is effective for arresting the growth of S. aureus causing hospital-,-acquired- and opportunistic- infections.

Conclusions

B. monnieri extract and its compound luteolin have a significant antimicrobial activity against S. aureus. Molecular binding interaction of in silico data demonstrated that luteolin has more specificity towards the DNA gyrase binding site and could be a potent antimicrobial compound. However several scientific reports manifested that lead-drug discovery projects on the basis of binding efficiency indices would afford bioactive compounds with better pharmacokinetic outcomes. Hence, isolated bioactive compounds should be employed for establishing more rational structure activity relationships in the era of antimicrobial drug development.

Declarations

Acknowledgements

Authors are thankful to Dr. Shaikh Bokhtear Uddin, Taxonomist and Associate Professor, Department of Botany, University of Chittagong, Chittagong-4331, Bangladesh for identifying the plant sample. We are also grateful to Bangladesh Council of Scientific and Industrial Research (BCSIR), Chittagong-4220, Bangladesh for supplying the microbial strains.

Authors’ Affiliations

(1)
Department of Pharmacy, BGC Trust University Bangladesh
(2)
Department of Biochemistry and Molecular Biology, University of Chittagong
(3)
Department of Pharmacy, University of Chittagong

References

  1. Boucher HW, Talbot GH, Bradley JS, Edwards JE, Gilbert D, Rice LB, et al. Bad bugs, no drugs: no ESKAPE! An update from the Infectious Diseases Society of America. Clin Infect Dis. 2009;48(1):1–12.View ArticlePubMedGoogle Scholar
  2. Kluytmans J, van Belkum A, Verbrugh H. Nasal carriage of Staphylococcus aureus: epidemiology, underlying mechanisms, and associated risks. Clin Microbiol Rev. 1997;10(3):505–20.PubMed CentralPubMedGoogle Scholar
  3. Kuehnert MJ, Hill HA, Kupronis BA, Tokars JI, Solomon SL, Jernigan DB. Methicillin-resistant-Staphylococcus aureus hospitalizations, United States. Emerg Infect Dis. 2005;11(6):868–72.View ArticlePubMedGoogle Scholar
  4. Klevens RM, Morrison MA, Nadle J, Petit S, Gershman K, Ray S, et al. Invasive methicillin-resistant Staphylococcus aureus infections in the United States. Jama. 2007;298(15):1763–71.View ArticlePubMedGoogle Scholar
  5. Diefenbeck M, Mennenga U, Guckel P, Tiemann AH, Muckley T, Hofmann GO. Vacuum-assisted closure therapy for the treatment of acute postoperative osteomyelitis. Z Orthop Unfall. 2011;149:336–41.PubMedGoogle Scholar
  6. Garo E, Eldridge GR, Goering MG, DeLancey PE, Hamilton MA, Costerton JW, et al. Asiatic acid and corosolic acid enhance the susceptibility of Pseudomonas aeruginosa biofilms to tobramycin. Antimicrob Agents Chemother. 2007;51(5):1813–7.View ArticlePubMed CentralPubMedGoogle Scholar
  7. Coutinho HD, Costa JG, Lima EO, Falcao-Silva VS, Siqueira-Junior JP. Enhancement of the antibiotic activity against a multiresistant Escherichia coli by Mentha arvensis L. and chlorpromazine. Chemotherapy. 2008;4:328–30.View ArticleGoogle Scholar
  8. Coutinho HD, Costa JG, Lima EO, Falcao-Silva VS, Siqueira Jr JP. Herbal therapy associated with antibiotic therapy: potentiation of the antibiotic activity against methicillin–resistant Staphylococcus aureus by Turnera ulmifolia L. BMC Complement Altern Med. 2009;9(13):1472–6882.Google Scholar
  9. Aguiar S, Borowski T. Neuropharmacological review of the nootropic herb Bacopa monnieri. Rejuvenation Res. 2013;16(4):313–26.View ArticlePubMed CentralPubMedGoogle Scholar
  10. Chopra RNNL, Chopra IC. Glossary of Indian Medicinal Plants. New Delhi: Council of Scientific and Industrial Research; 1956. p. 32.Google Scholar
  11. Ghosh S, Nie A, An J, Huang Z. Structure-based virtual screening of chemical libraries for drug discovery. Curr Opin Chem Biol. 2006;10(3):194–202.View ArticlePubMedGoogle Scholar
  12. Dash R, Emran TB, Uddin MM, Islam A, Junaid M. Molecular docking of fisetin with AD associated AChE, ABAD and BACE1 proteins. Bioinformation. 2014;10(9):562–8.View ArticlePubMed CentralPubMedGoogle Scholar
  13. Yoshida H, Kawai F, Obayashi E, Akashi S, Roper DI, Tame JR, et al. Crystal structures of penicillin-binding protein 3 (PBP3) from methicillin-resistant Staphylococcus aureus in the apo and cefotaxime-bound forms. J Mol Biol. 2012;423(3):351–64.View ArticlePubMedGoogle Scholar
  14. Ronkin SM, Badia M, Bellon S, Grillot AL, Gross CH, Grossman TH, et al. Discovery of pyrazolthiazoles as novel and potent inhibitors of bacterial gyrase. Bioorg Med Chem Lett. 2010;20(9):2828–31.View ArticlePubMedGoogle Scholar
  15. Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, et al. The Protein Data Bank. Nucleic Acids Res. 2000;28(1):235–42.View ArticlePubMed CentralPubMedGoogle Scholar
  16. Hevener KE, Zhao W, Ball DM, Babaoglu K, Qi J, White SW, et al. Validation of molecular docking programs for virtual screening against dihydropteroate synthase. J Chem Inf Model. 2009;49(2):444–60.View ArticlePubMed CentralPubMedGoogle Scholar
  17. Hristozov DP, Oprea TI, Gasteiger J. Virtual screening applications: a study of ligand-based methods and different structure representations in four different scenarios. J Comput Aided Mol Des. 2007;21(10–11):617–40.View ArticlePubMedGoogle Scholar
  18. Osolodkin DI, Palyulin VA, Zefirov NS. Structure-based virtual screening of glycogen synthase kinase 3-beta inhibitors: analysis of scoring functions applied to large true actives and decoy sets. Chem Biol Drug Des. 2011;78(3):378–90.View ArticlePubMedGoogle Scholar
  19. Jones G, Willett P, Glen RC, Leach AR, Taylor R. Development and validation of a genetic algorithm for flexible docking. J Mol Biol. 1997;267(3):727–48.View ArticlePubMedGoogle Scholar
  20. Kitchen DB, Decornez H, Furr JR, Bajorath J. Docking and scoring in virtual screening for drug discovery: methods and applications. Nat Rev Drug Discov. 2004;3(11):935–49.View ArticlePubMedGoogle Scholar
  21. Hao H, Cheng G, Dai M, Wu Q, Yuan Z. Inhibitors targeting on cell wall biosynthesis pathway of MRSA. Mol Biosyst. 2012;8(11):2828–38.View ArticlePubMedGoogle Scholar
  22. Weber SG, Gold HS, Hooper DC, Karchmer AW, Carmeli Y. Fluoroquinolones and the risk for methicillin-resistant Staphylococcus aureus in hospitalized patients. Emerg Infect Dis. 2003;9(11):1415–22.View ArticlePubMed CentralPubMedGoogle Scholar
  23. Russell AD. Bacterial resistance to disinfectants: present knowledge and future problems. J Hosp Infec. 1999;43(0):S57–68. Supplement 1.View ArticleGoogle Scholar
  24. Sheldon Jr AT. Antibiotic resistance: a survival strategy. Clin Lab Sci. 2005;18(3):170–80.PubMedGoogle Scholar
  25. Gurib-Fakim A. Medicinal plants: traditions of yesterday and drugs of tomorrow. Mol Aspects Med. 2006;27(1):1–93.View ArticlePubMedGoogle Scholar
  26. Veerappan A, Miyazaki S, Kadarkaraisamy M, Ranganathan D. Acute and subacute toxicity studies of Aegle marmelos Corr., an Indian medicinal plant. Phytomedicine. 2007;14(2-3):209–15.View ArticlePubMedGoogle Scholar
  27. Gibbons S. Anti-staphylococcal plant natural products. Nat Prod Rep. 2004;21(2):263–77.View ArticlePubMedGoogle Scholar
  28. Fabry W, Okemo PO, Ansorg R. Antibacterial activity of East African medicinal plants. J Ethnopharmacol. 1998;60(1):79–84.View ArticlePubMedGoogle Scholar

Copyright

© Emran et al.; licensee BioMed Central. 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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