Skip to main content

International Journal of Phytomedicine and Phytotherapy

  • Original contribution
  • Open access
  • Published:

In vivo and in silico evaluation of analgesic activity of Lippia alba

A Correction to this article was published on 31 December 2019

This article has been updated



This study was conducted to evaluate the analgesic activity of different extracts of Lippia alba (L. alba) along with in silico evaluation of analgesic activity of the isolated compounds from L. alba against cyclooxygenase-2 enzyme and ADME/T analysis of isolated compounds.


In vivo analgesic activity of different extracts of L. alba was evaluated by acetic acid-induced writhing, tail immersion and hot plate on Swiss albino mice of either sex. In silico activity of the isolated compounds and ADME/T analysis were performed by Schrödinger-Maestro (Version 10.1) and OSIRIS Data warrior (version 4.6.1) softwares.


Three different extracts (Methanolic extract: ME; Petroleum ether extract: PEE; Dichloromethane extract: DCME) of 250 mg/kg and 500 mg/kg doses were used in the experiments to evaluate analgesic activity. In acetic acid-induced writhing test, significant results were seen for PEE (500 mg/kg) and DCME (500 mg/kg), which were 53.09 ± 2.87 & 50.09 ± 4.24%, respectively. In tail immersion test, the best latency time was found at + 60 min for PEE (500 mg/kg) which is (5.65 ± 0.25) sec. For hot plate test, DCME at a dose 500 mg/kg showed the highest increase in latency time, which was 13.48 ± 0.33 s. In the case of in silico evaluation of analgesic activity, the compounds such as geranial, neral, (E)-caryophyllene, caryophyllene oxide, mussaenide, and 8-epi-loganin meet the condition of Lipinski’s rule of five. Among these safe compounds, 8-epi-loganin showed the best docking score of − 8.17 kcal/mol against cyclooxygenase-2 enzyme (PDB ID: 6COX), which was almost similar to that of the standard drug, Celecoxib (− 11.11 kcal/mol).


In conclusion, L. alba can be a potent source of analgesic medicine and further modification and simulation studies are required to establish the effectiveness of 8-epi-loganin.


Pain is an advantageous tool for the immune system to protect the area damaged by chemical, mechanical and thermal stimuli. But it brings a lot of discomfort and sufferings to the patients [1,2,3,4]. To manage the pain a wide varieties of analgesic like NSAIDs (Non-Steroidal Anti-Inflammatory Drugs), steroidal drugs as well as opioid analgesics are used which have various adverse effect such as liver damage, cardiovascular problems, renal failure, erectile dysfunction, manic depression, hypertension, cramps and dizziness, appearance of dormant diabetes, skin atrophy, decreased bone density, gastrointestinal tract ulcers, dependence, constipation and respiratory problems [5,6,7,8,9]. So, it’s an important concern to the world to make sure a source of affordable alternative herbal based analgesic drugs with more potent as well as less adverse effect that may be acquired through medicinal plant.

Molecular docking is an important technique of making plans and layout of new drugs, where it is expected that a small molecule will show affinity and bind experimentally to the binding site of the target receptor. A successful docking methodology should correctly predict the native ligand model to the receptor binding site (i.e. to find the experimental ligand geometry within a certain tolerance limit) and the associated physico-chemical molecular interactions [10, 11].

L. alba (Family: Verbenaceae) is a 1.7 cm high aromatic shrub that is widely distributed through the Caribbean, South and Central America and Tropical Africa [12, 13]. It is widely cultivated for its ornamental value as it has aromatic foliage and beautiful flowers [14]. The leaves are used for flavoring agents [15] such as mole sauces from Oaxaca, Mexico [16]. The plant is used traditionally for colds, sedative, somatic, cough, antidepressant, dysentery, analgesic, febrifuge and gastrointestinal ailments [17, 18]. A review of the literature showed that L. alba has been found to have a wide range of activities, including antioxidant, antiulcer, antibacterial, antifungal, antinociceptive, antiviral, anti-inflammatory, antiprotozoal, cytotoxic, as well as neurosedative activities [18,19,20,21]. Many volatile and non-volatile components such as neral, geranial, E-caryophyllene, caryophyllene oxide, allo-aromadendrene, theveside, 8-epiloganin, geniposide, mussaenoside, apigenin-7-O-glucuronide, luteoline-7-O-glucuronide etc. [22, 23] have been isolated from this plant.

Therefore, the aim of this study was to investigate the analgesic activity of the methanolic (ME), petroleum ether (PEE) and dichloromethane (DCME) extracts of L. alba leaves via in vivo method and in silico identification of potential phyto compound as an analgesic.

Materials and methods

Plant collection and identification

The fresh leaves of L. alba were collected from section-16 (near the rose garden) of National Botanical Garden of Bangladesh, Mirpur-2, Dhaka. The collected plant was identified by Sarder Nasir Uddin, Principal Scientific Officer, Bangladesh National Herbarium (Accession Code- 38307). A dried sample was placed in the herbarium for confirming later reference.

Preparation of plant extract

The collected leaves were washed with fresh water and dried under shade at room temperature for a period of 7 days. Then, the dried sample was ground to fine powder by using mechanical grinder (MACSALAB 200 Cross Beater, Eriez, Erie, Pennsylvania, U.S.A.) and 40-mesh sieve. After that the powdered leaves (83.4 g) were extracted by using different solvents such as methanol, petroleum ether and dichloromethane separately, whereas hot extraction method was followed with the help of a soxlet apparatus. In fact, 300 mL respective solvent was used for completing the extraction process. Moreover, the filtration was carried out for getting the liquid extracts by using Whatman No.1 filter papers. Next, a hot air oven (BST/HAO-1127, Bionics Scientific Technologies Pvt. Ltd., Delhi, India) was used for drying the individual filtrate at 40 °C. Here, the extraction yield of ME, PEE and DCME were 4.72% (w/w), 3.88% (w/w) and 3.53% (w/w) respectively. These extracts were then stored at 4 °C with a view to conducting analgesic study.

Experimental animals

For the analgesic study, 120 Swiss Albino mice of either sex, 6–7 weeks of age, weighing between 20 and 30 g, were collected from the Animal Research Branch of the International Center for Diarrheal Disease and Research, Bangladesh (ICDDR, B). They were housed in groups of 5, in plastic cages having dimension of (28 × 22 × 13 cm). Soft wood shavings were used as bedding of cages. Animals were maintained under standard environmental conditions i.e. temperature: (27.0 ± 1.0 °C), relative humidity: 55–65% and 12 h light/12 h dark cycle. Pellets of food and water ad libitum were confirmed for mice. The newly bought mice were given a week rest to get habituated in the room environment. The Institutional Animal Ethical Committee of Jashore University of Science and Technology, Jashore, Bangladesh approved the protocol used in these experiments conducted with these animals.

Acute oral toxicity study

Some adverse effects may result within 24 h from single or multiple exposures of materials which indicate acute toxicity. LD50 of the test sample is found from this study following OECD guidelines. Different concentrations of test samples like 100, 250, 500, 1000, 2000, 3000 and 4000 mg/kg body weight were employed orally. Either sign of any toxicity or mortality that was found after oral administration of the samples was monitored up to 1 h. For the next 5–6 h, animals were observed on every hour basis. Nevertheless, the animals were reserved under observation for 2 weeks [24].

Evaluation of analgesic activity

Acetic acid induced writhing test

The writhing test was conducted according to the method of Koster et al [25]. Fourty mice were divided into control group (normal water), positive control or standard group (diclofenac sodium, DS, 100 mg/kg body weight), and test groups (ME, PEE and DCME at 250 and 500 mg/kg body weight), containing five mice in each group. Mice in the control group, positive control group and test groups received one dose of normal water, diclofenac sodium, methanolic, petroleum ether and dichloromethane extracts of L. alba leaves orally. Forty-five minutes later, each mouse was injected intraperitoneally with 0.7% (v/v) acetic acid at a dose of 10 mL/kg body weight. Fifteen minutes after the administration of acetic acid, the number of writhing responses was recorded for each animal during a 5-min period. Besides, the mean abdominal writhing for each group was calculated.

Tail immersion test

The method of Toma et al [26] was used to assess the central analgesic activity. Also for this study, fourty mice were divided into control group (normal water), positive control or standard group (diclofenac sodium, DS, 100 mg/kg body weight), and test groups (ME, PEE and DCME at 250 and 500 mg/kg body weight), containing five mice in each group. Here the painful reactions in animals were generated by thermal stimulus through dipping the tip of the tail in hot water. Mice were grouped and treated as described before. Morphin (5 mg/kg) was used as the reference drug. After the treatment of each group, the basal reaction time was measured by immersing the tail tips of the mice (last 1–2 cm) in hot water of (55 ± 1) °C. The flick response of mice, i.e., time taken (in second) to withdraw it from hot water source was calculated and results were compared with the control group. A latency period of 15 s was set as the cut-off point to avoid injury to mice. The latent period of the tail-flick response was determined before 30 min and after 30, 60 and 90 min of drug and extract administration.

Hot plate method

Fourty mice were divided into control group (normal water), positive control or standard group (diclofenac sodium, DS, 100 mg/kg body weight), and test groups (ME, PEE and DCME at 250 and 500 mg/kg body weight), containing five mice in each group as well for the study of hot plate method. The paws of mice are very sensitive to temperature at 55 ± 0.5 °C, which are not damaging to the skin. The animals were placed on hot plate kept at a temperature of 55 ± 0.5 °C. A cut off period of 20s [26] was observed to avoid damage to the paw. Reaction time was recorded when animals licked their fore or hind paws or jumped at 0 (before 30 min of drug administration), + 30, + 60 and + 90 min after oral administration of the samples. The animals of test groups received test samples of different extracts at the doses of 250 and 500 mg/kg body weight. Positive control group or standard group and control group were treated with morphine (5 mg/kg b.w.) and water (10 ml/kg), respectively.

In silico molecular docking analysis

For molecular docking study, Glide of Schrödinger-Maestro (Version 10.1) was used to predict the potent active compounds isolated from L. alba compared to standard drug celecoxib against the active inhibitory site of Cyclooxygenase enzyme.

Ligand and protein preparation

The 3D structure of the enzyme Cyclooxygenase-2 was obtained from protein data bank in PDB format (PDB ID: 6COX) [27]. In the beginning, the protein structure was purified in discovery studio v 4.45 by removing the B chain and bound ligands to B chain and protoporphyrin IX containing Fe & N-acetyl-D-glucosamine bound to A chain. The purified structure was saved in PDB format (Discovery Studio is a suite of software for simulating small molecule and macromolecule systems. It is developed and distributed by Accelrys). Protein Preparation Wizard of Schrödinger-Maestro v 10.1 was used to make the protein compatible for Glide module. In this process, in primary stage, bond order was assigned, hydrogen molecules were added, zero-order bonds with metal were created, disulfide bonds were created and selenomethionines were converted to methionines. In protein refinement stage, hydrogen bonds were assigned using the PROPKA module at pH 7, water molecules with less than three hydrogen bonds to non-water molecules were removed and at last energy minimization was carried out using OPLS 2005 force field setting the maximum heavy atom RMSD to 30 Å [28].

Grid generation

Glide version 6.6 was used for receptor grid generation. Glide is a module which is used for excluding the ligand from ligand-protein complex and defining a box where the desired ligands can be added as a compex. In this study, van der waals radius scaling was set to default of scaling factor 1.00 Å and charge cut-off 0.25 Å. A cubic box of specific dimensions centered on the centroid of the active site residues was generated for the receptor. The bounding box was set to 14 Å × 14 Å × 10 Å and it’s essential to identify the active binding site in the target protein [29].

Glide standard precision (SP) ligand docking

After completing the preliminary steps, the glide 6.6 module of Schrödinger-Maestro v 10.1 was used for determining the docking scores of desired complex. Glide is designed to assist in high-throughput screening of potential ligands based on binding mode and affinity for a given receptor molecule. We can compare ligand scores with those of other test ligands, or compare ligand geometries with those of a reference ligand. Additionally, we can use Glide to generate one or more plausible binding modes for a newly designed ligand. In this study, Flexible ligand docking was performed with Glide of Schrödinger-Maestro (version 10.1) [30, 31] within which penalties were applied to non-cis/trans amide bonds. Glide standard precision docking was performed with these molecules, and hits above 4 kcal/mol based on docking score with COX-2 enzyme in XP mode, keeping all docking parameters as default. No bonding constraints were given during docking calculations. Using Monte Carlo random search algorithm, ligand poses were generated for each input molecule, and binding affinity of these molecules to the COX-2 enzyme were predicted regarding Glide docking score. Post-docking minimization was performed with OPLS 2005 force field, and one pose per ligand was saved.

ADME and toxicity analysis

The appropriate physicochemical properties of a molecule to pass a orally active drug molecule depends upon certain physical and chemical parameters also known Lipinski’s rule of five or simply the Rule of Five (RO5). The rule describes the physicochemical properties important for a drugs pharmacokinetic in the human body such as absorption, distribution, metabolism and excretion (ADME) but the rule cannot confirm the pharmacodynamics property of the drug molecule [32]. In our study, to evaluate the ADME and toxicity properties of the isolated compounds from L. alba, we used OSIRIS Data warrior v 4.6.1 software. In this software, we used the chemical structure feature to calculate the desired properties for ADME/T analysis.

Statistical analysis

All results are expressed as mean ± standard error of mean (SEM). All the tests were analyzed statistically by one-way ANOVA (Analysis of Variance) followed by Dunnett’s t test and Post Hoc Tuckey’s test. In addition, the results of tail immersion test and Hot Plate test were analyzed by using repeated measure ANOVA (RM-ANOVA). P < 0.05 was considered to be statistically significant. P < 0.05 was considered to be statistically significant. All data were analyzed using SPSS software (version 17; IBM Corporation, New York, USA).


In vivo analgesic activity

In the acetic acid induced writhing test, all mice displayed significant number of writhing compared to control. Treatment with diclofenac sodium showed the lowest number of writhing compared to any other treatment groups with extract. Among the treatment groups with extract PEE (500 mg/kg) and DCME (500 mg/kg) showed significant inhibition (%) which is (53.09 ± 2.87) % & (50.09 ± 4.24) % respectively. The results are presented in Table 1.

Table 1 Effects of different extracts of L. alba in acetic acid-induced writhing test

In Table 2, the results of tail immersion test of analgesic activity evaluation are represented. Here we can see that at + 60 min all the extracts except DCME (250 mg/kg) displayed significant increase in latency time.

Table 2 Effects of different extracts of L. alba in tail immersion test

Table 3 represents the results of hot plate taste. At time + 90 min all the extracts along with standard drug displayed significant increase in latency time compared to control group. Among the extracts DCME (500 mg/kg) showed the best increased latency time which is (13.48 ± 0.33) sec.

Table 3 Effects of different extracts of L. alba in hot plate test

In silico study for the evaluation of analgesic activity

Table 4 represents the physicochemical properties required for ADME/T analysis of the isolated compounds of L. alba. From this table, by analyzing the obtained value we can predict the eligibility of a compound to pass as a safe compound. We can see that Theveside, Apigenin 7-O-glucuronide and Luteolin 7-O-glucuronide made violations to Lipinski’s rule of five but all other molecules met the conditions to pass as a drug molecule according to the rule.

Table 4 ADME and toxicity analysis of the phytoconstituents isolated from L. alba OSIRIS Data warrior

In Table 5, the identification number for the safe isolated compounds are presented as InChI key format and also the docking score, glide e model and glide energy of the isolated compounds along with standard drug Celecoxib is represented. From the table we can see that 8-epiloganin has the lowest docking score − 8.17 kcal/mol. Interactions of this compound and standard drug Celecoxib with cyclooxygenase-2 protein, their binding interaction with the specific amino acids of the inhibitory site of the protein is displayed in Figs. 1, 2, 3.

Table 5 Docking result of Celecoxib and phytoconstituents isolated from L. alba with Cyclo-oxygenase-2 (PDB: 6COX) for analgesic activity
Fig. 1
figure 1

3D view of Celecoxib and 8-epi-loganin with inhibitory site of COX-2 protein

Fig. 2
figure 2

2D and 3D binding types of Celecoxib binding with specific amino acids of cyclooxygenase-2 enzyme

Fig. 3
figure 3

2D and 3D binding types of 8-epi-loganin binding with specific amino acids of cyclooxygenase-2 enzyme


Phytoconstituents are obtained by extraction of plant parts and may be responsible for wide range of therapeutic activity when they are used in medicinal purpose [33]. Secondary metabolites are mainly responsible for pharmacological action. Though primary metabolites are found in almost all plants, not all secondary metabolites are found in every plant but they differ from one plant to another. For this very reason, not all plants shows every kind of pharmacologic or therapeutic action [34] and as a consequence in the field of drug discovery, identifying the phytoconstituents is a major step [35].

In the acetic acid induced writhing test, injection of 0.7% acetic acid i.p. induces localized inflammation by the discharge of arachidonic acid from tissue phospholid, which is a pain stimuli [36]. It is proved that peripheral pain is induced by either peritoneal mast cells [37] or acid sensing ion channels [38] or PG pathway [39]. Table 1 represents the peripheral analgesic effect of different extracts of L. alba.

Tail immersion and hot plate taste are another method for determining peripheral analgesic activity [26]. Centrally acting analgesics and opoid receptor agonists are more effectively evaluated by these two methods. Opoid receptor agonists act through spinal and supra spinal receptors and among these receptors μ receptor agonist is most effective against thermal induced nociception [40, 41]. And for this, tail immersion and hot plate are very effective to evaluate the peripheral analgesic activity. Tables 2 and 3 represents the analgesic activity of L. alba in tail immersion test and hot plate taste.

To identify potential compounds isolated from L. alba for analgesic activity, at first, we analyzed the compatibility of the compounds to be used as drug molecule. For this purpose, we analyzed some parameters such as molecular weight (< 500 g/mol), hydrogen bond acceptor (≤ 10), hydrogen bond donor (≤ 5), clogP (< 5), molar refractivity (40–130) of the isolated compounds and in Table 4 we can see that seven compounds out of the ten considered compounds, have the potentiality to be used as a drug candidate.

Next, we demonstrated molecular docking score as well as glide e model score and glide energy score of the isolate compounds of L. alba with cyclooxygenase-2 enzyme to evaluate the analgesic activity of the plant in molecular level which is demonstrated in Table 5. Cyclooxygenase-2 enzyme is mainly responsible for acute pain and selective cox-2 inhibitors are a better choice to stop the pain stimulating action [42] but cox-2 inhibitors are associated with a wide range of side effects [43] and for this finding replacement of selective cox-2 inhibitors or coxib drugs to selectively antagonize cox-2 enzyme is necessary. In our study, 8-epi-loganin showed good docking score (− 8.17 kcal/mol) against cox-2 enzyme whereas our standard drug Celecoxib showed docking score of − 11.11 kcal/mol, which is comparable to our compounds. So, it may be possible that this compound may act as a promising hit for selective cox-2 inhibition.


Medicinal plants are the best source of medication for human kinds with a wide range of activity. It is up to us to find out the necessary plants and isolate the responsible phytochemicals for the desired activity and optimize them to make them better with less side effects and better potency. In this purpose, different extracts of L. alba were evaluated for analgesic activity and we found that it has significant analgesic property in vivo. Moreover, in silico docking and ADME/T analysis was performed to find out the possible responsible molecule for conducting analgesia. In our study, we found that 8-epi-loganin had the possibility to act as a selective cox-2 (responsible for acute pain) inhibitor. B, as this is a crude study, so, further rigorous study is required to establish this compound as a potent analgesic druggable molecule.

Availability of data and materials

The datasets supporting the conclusions of this article are included within the article.

Change history

  • 31 December 2019

    In the original publication of this article [1], two authors' names are not complete.



absorption distribution metabolism excretion toxicity




dichloromethane extract


methanolic extract


petroleum ether extract




Root-mean-square deviation


  1. Craig CR, Stitzel RE. Modern Pharmacology with Clinical Applications. 5th ed. Philadelphia: Lippincott Williams & Wilkins; 2003. p. 832.

    Google Scholar 

  2. Boursinos LA, Karachalios T, Poultisides L, Malizos M. Do steroids, conventional non-steroidal anti-inflammatory drugs and selective Cox-2 inhibitors adversely affect fracture healing. J Mus Neuro Inter. 2009;9:44–52.

    CAS  Google Scholar 

  3. Sparkes A, Heiene R, Lascelles BD, Malik R, Sampietro LR, et al. NSAIDs and cats- it’s been a long journey. J Fel Med Sur. 2010;12:519–38.

    Article  Google Scholar 

  4. Koech SC, Ouko RO, Michael NM, Ireri MM, Ngugi MP, Njagi NM. Analgesic activity of Dichloromethanolic root extract of Clutia abyssinica in Swiss albino mice. Nat Prod Chem Res. 2017;5:255.

    Article  CAS  Google Scholar 

  5. Yasmen N, Aziz MA, Tajmim A, Hazra AK, Akter MI, Rahman SMM. Analgesic and Anti-Inflammatory Activities of Diethyl Ether and n-Hexane Extract of Polyalthia suberosa Leaves. Evid Based Complement Alternat Med. 2018;2018:5617234

    Article  Google Scholar 

  6. Wallace JL. Pathogenesis of NSAID induced gastro duodenal mucosal injury. B Prac Res: Clin Gastro. 2001;15:691–703.

    CAS  Google Scholar 

  7. Shih SC and C.-W. Chang CW. Nonsteroidal anti-inflammatory drug-related gastrointestinal bleeding in the elderly. Int J Gero. 2007; 1: 40–45.

    Article  Google Scholar 

  8. Joshua. “Difference between NSAIDs and Steroids,”,“2017, nsaids-and-steroids/.

  9. Brennan M. Adverse effects of NSAIDs on renal function. Can Med Asso J. 1984;131(9):1012–3.

    CAS  Google Scholar 

  10. Guedes IA, Magalhães CS, Dardenne LE. Receptor–ligand molecular docking. Biophyl rev. 2014;6(1):75–87.

    Article  CAS  Google Scholar 

  11. Paul A. Anticancer potential of isolated phytochemicals from Ocimum sanctum against breast cancer: In silico Molecular docking approach. National Conference on “Biochemistry and Molecular Biology for Life Sciences” At: University of Dhaka. 2016.

  12. Nain P, Kumar S, Nain J, Kumar S. Evaluation and comparison of anxiolytic effect of flax seed oil and perilla oil in rats. Inter Res J Pharm. 2011;2:161–4.

    Google Scholar 

  13. Di Pietro C, Seamans JK. Dopamine and serotonin interactions in the prefrontal cortex: insights on antipsychotic drugs and their mechanism of action. Pharmacopsych. 2007;40:S27–33.

    Article  Google Scholar 

  14. . Accessed 12 July 2018.

  15. Duke JA. Duke's Handbook of Medicinal Plants of Latin America. CRC Press. 2008:412–4.

  16. La Pitiona. Accessed 12 Apr 2019.

  17. L. alba: Prontoalivio, Erva cidreira, juanilama, Melissa. United Nations Conference on Trade and Development. 2005.

  18. Haldar S, Kar B, Dolai N, Kumar RBS, Behera B, Haldar PK. In vivo anti–nociceptive and anti–inflammatory activities of L. alba. Asian Pac. J Trop Dis. 2012;2:S667–70.

    Article  Google Scholar 

  19. Tomazoni EZ, Pansera MR, Pauletti GF, Moura S, Ribeiro RTS, Schwambach J. In vitro antifungal activity of four chemotypes of L. alba (Verbenaceae) essential oils against Alternaria solani (Pleosporeaceae) isolates. Ann Braz Acad Sci. 2016;88(2):999–1010.

    Article  CAS  Google Scholar 

  20. Mamun-Or-Rashid ANM, Sen MK, Jamal MAHM, Nasrin SA. Comprehensive ethno-pharmacological review on L. alba M. Int J Biomed Mater Res. 2013;1(1):14–20.

    Article  Google Scholar 

  21. Pascual ME, Slowing K, Carretero ME, Villar A. Antiulcerogenic activity of L. alba (mill.) N. E. Brown (Verbenaceae). Il Farmaco. 2001;56:501–4.

    Article  CAS  Google Scholar 

  22. Glamoclija J, Sokovic M, Tesevic V, et al. Chemical characterization of L. alba essential oil: an alternative to control green molds. Bra J Micro. 2011;42:1537–42.

    Article  CAS  Google Scholar 

  23. Timotio P, Karioti A, Leitao SG, et al. HPLC/DAD/ESI-MS analysis of non-volatile constituents of three Brazilian Chemotypes of L. alba (mill.) N. E. Brown. Nat Pro Cyom. 2008;3(12):2017–20.

    Google Scholar 

  24. Walum E. Acute oral toxicity. Environ Health Perspect. 1998;106:497–503.

    CAS  PubMed  PubMed Central  Google Scholar 

  25. Koster R, Anderson M, De-Beer EJ. Acetic acid analgesic screening. Fed Proc. 1959;18:412–7.

    Google Scholar 

  26. Toma W, Graciosa JS, Hiruma-Lima CA, Andrade FDP, Vilegas W, Souza Brita ARM. Evaluation of analgesic and antiedematogenic activities of Quassia Amara bark extract. J Ethnopharmacol. 2003;85:19–23.

    Article  CAS  Google Scholar 

  27. Kurumbail RG, Stevens AM, Gierse JK, et al. Structural basis for selective inhibition of cyclooxygenase-2 by anti-inflammatory agents. Nature. 1996;384:644–8.

    Article  CAS  Google Scholar 

  28. Hasanat A, Chowdhury TA, Kabir MSH, Chowdhury MS, Chy MNU, Barua J, Chakrabarty N, Paul A. Antinociceptive Activity of Macaranga denticulata Muell. Arg. (Family: Euphorbiaceae): In Vivo and In Silico Studies. Medicines. 2017;4(4):88.

    Article  Google Scholar 

  29. Paul A, Adnan M, Majumder M, et al. Anthelmintic activity of Piper sylvaticum Roxb. (family: Piperaceae): In vitro and in silico studies. Cli Phy. 2018;4:17.

    Article  Google Scholar 

  30. Friesner RA, Banks JL, Murphy RB, Halgren TA, Klicic JJ, Mainz DT, et al. Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy. J Med Chem ACS Publications. 2004;47:1739–49.

    CAS  Google Scholar 

  31. Halgren TA, Murphy RB, Friesner RA, Beard HS, Frye LL, Pollard WT, et al. Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening. J med Chem. ACS Publications. 2004;47:1750–9.

    CAS  Google Scholar 

  32. Accessed 12 July 2018.

  33. Alabri THA, Musalami AHSA, Hossain MA, Al-Riyami AMWQ. Comparative study of phytochemical screening, antioxidant and antimicrobial capacities of fresh and dry leaves crude plant extracts of Datura metel L. J King Saud Univ Sci. 2014;26:237–43.

    Article  Google Scholar 

  34. Kashani HH, Hoseini ES, Nikzad H, Aarabi MH. Pharmacological properties of medicinal herbs by focus on secondary metabolites. Life Sci J. 2012;9(1):509–20.

    Google Scholar 

  35. Nakka S, Devendra BN. A rapid in vitro propagation and estimation of secondary metabolites for in vivo and in vitro propagated Crotalaria species, a Fabaceae member. J Microbiol Biotechnol Food Sci. 2012;2(3):897–916.

    Google Scholar 

  36. Jaman MU, Sultana F, Chowdhury MAR, Hossain MT, Haque MIU. In vivo assay of analgesic activity of methanolic and petroleum ether extracts of Manilkara zapota leaves. Br J Pharm Res. 2014;4(2):186–91.

    Article  Google Scholar 

  37. Ronaldo AR, Mariana LV, Sara MT, Adriana BPP, Steve P. Involvement of resident macrophages and mast cells in the writhing nociceptive response induced by zymosan and acetic acid in mice. Eur J Pharmacol. 2000;387:111–8.

    Article  Google Scholar 

  38. Voilley N. Acid-sensing ion chanels (ASICs): new targets for the analgesic effects of non-steroidal anti-inflammatory drugs (NSAIDs). Curr Drug Targets Inflamm Allergy. 2004;3:71–9.

    Article  CAS  Google Scholar 

  39. Hossain MM, Ali MS, Saha A. Antinociceptive activity of whole plant extracts of Paederia foetida. Dhaka Univ J Pharm Sci. 2006;5:67–9.

    Article  Google Scholar 

  40. Muzammil AS, Farhana T, Salman A. Analgesic activity of leaves extracts of Samanea saman Merr. And Prosopis cineraria Druce. Int Res J Pharm. 2013;4(1):93–5.

    Google Scholar 

  41. Oluwatoyin AE, Adewale AA, Isaac AT. Anti-nociceptive and anti-inflammatory effects of a nigerian polyherbal tonic tea (pht) extract in rodents. Afr J Tradit Complement Altern Med. 2008;5(3):257–62.

    Article  Google Scholar 

  42. Lee Y, Rodriguez C, Dionne RA. The role of COX-2 in acute pain and the use of selective COX-2 inhibitors for acute pain relief. Curr Pharm Des. 2005;11(14):1737–55.

    Article  CAS  Google Scholar 

  43. Mattia C, Coluzzi F. COX-2 inhibitors: pharmacological data and adverse effects. Minerva Anestesiol. 2005;71(7–8):461–70.

    CAS  PubMed  Google Scholar 

Download references


The authors are grateful to the Department of Pharmacy, Jashore University of Science and Technology, Jashore, Bangladesh and Department of Pharmacy, Stamford University Bangladesh for providing facilities to carry out the research work.


The study was done through self-finance.

Author information

Authors and Affiliations



Concept – MAA; Design – MAA; MMM; KM; Supervision – KM; MSR; Resources – MAA; MMM; MIA; Materials – MAA; MMM; SRS; Data Collection and/or Processing – MAA; MMM; MIA; Analysis and/or Interpretation – MAA; MMM; MIA; SRS; Literature Search – MAA; MMM; MIA; SRS; Writing – MAA; MMM; MIA; SRS; Critical Reviews – MAA; MMM; MIA; SRS; KM; MSR; All authors read and approved the final manuscript.

Corresponding author

Correspondence to Sadiur Rahman Sajon.

Ethics declarations

Ethics approval

The study protocol was approved by the institutional animal ethical committee of Jashore University of Science and Technology, Jashore, Bangladesh.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The original version of this article was revised: “Some authors’names and some affiliations has been revised.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Aziz, M., Mehedi, M., Akter, M. et al. In vivo and in silico evaluation of analgesic activity of Lippia alba. Clin Phytosci 5, 38 (2019).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: