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    Medicinal Chemistry Research ISSN 1054-2523 Med Chem ResDOI 10.1007/s00044-013-0794-y

    An investigation of antidiabetic activitiesof bioactive compounds in Euphorbiahirta Linn using molecular docking andpharmacophore

    Quy Trinh & Ly Le

  • 1 23

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  • ORIGINAL RESEARCH

    An investigation of antidiabetic activities of bioactive compoundsin Euphorbia hirta Linn using molecular dockingand pharmacophore

    Quy Trinh Ly Le

    Received: 20 May 2013 / Accepted: 12 September 2013

    Springer Science+Business Media New York 2013

    Abstract Herbal remedies have been considered as

    potential medication for diabetes type 2 treatment. Bitter

    melons, onions, or Goryeong Ginsengs are popular herbals

    and their functions in diabetes patients have been well

    documented. Recently, the Euphorbia hirta has been

    shown to have strong effects on diabetes in mice, however,

    there has been no research clearly indicating what the

    active compound is. The main purpose of the current study

    was therefore to evaluate whether a relationship exists

    between various bioactive compounds in E. hirta Linn and

    targeted protein relating diabetes type 2 in human. In view

    of this, extraction from E. hirta Linn was tested if they

    contained the bioactive compounds. This process involved

    the docking of 3D structures of those substances (ligand)

    into targeted proteins: 11-b hydroxysteroid dehydrogenasetype 1, glutamine: fructose-6-phosphate amidotransferase,

    protein phosphatase, and mono-ADP-ribosyltransferase

    sirtuin-6. Then, LigandScout was applied to evaluate the

    bond formed between ligand and the binding pocket in the

    protein. These test identified in eight substances with high

    binding affinity (\-8.0 kcal/mol) to all four interestedproteins of this article. The substances are quercetrin, rutin,

    myricitrin, cyanidin 3,5-O-diglucoside, pelargonium 3,5-

    diglucose in flavonoid family and a-amyrine, b-amyrine,

    taraxerol in terpenes group. The result can be explained

    by the 2D picture which showed hydrophobic interaction,

    hydrogen bond acceptor, and hydrogen bond donor form-

    ing between carbonyl oxygen molecules of ligand with free

    residues in the protein. These pictures of the bonding

    provide evidence that E. hirta Linn may prove to be an

    effective treatment for diabetes type 2.

    Keywords Diabetes type 2 Euphorbia hirta Linn Molecular docking Pharmacophore analysis

    Introduction

    Diabetes, one of the metabolic diseases that have high

    blood sugar as a pathognomonic symptom, is spreading

    like an epidemic. Worldwide, the number of patients

    climbed steeply from 171 million in 2000 to 366 million in

    2030 (Wild et al., 2004) and *90 % are of type 2 (Inter-national Diabetes Federation, 2006). A person with this

    type of diabetes suffers a combination of insulin resistance

    and a weakness in insulin production. Insulin resistance is

    considered as stage one in diabetes type 2. In this phase, the

    glucose, energy molecule of the cell cannot cross the cell

    membrane due to blocking of the insulin receptor at the cell

    surface. This result is a high glucose concentration in the

    blood stream. To solve the problem, the pancreatic beta

    cells produce extra insulin to maintain glucose in the nor-

    mal range. However, this process is only effective in the

    short term as burnout beta cell occurs. The failure for beta

    cell to produce the extra insulin is the second stage of

    diabetes type 2.

    Determination of the best treatment for diabetes type 2

    is complicated because this is a progressive disease. Cur-

    rently, insulin combined with other drugs is the preferred

    Electronic supplementary material The online version of thisarticle (doi:10.1007/s00044-013-0794-y) contains supplementarymaterial, which is available to authorized users.

    Q. Trinh L. LeSchool of Biotechnology, International UniversityVietnam

    National University, Ho Chi Minh City, Vietnam

    L. Le (&)Life Science Laboratory, Institute of Computational Science

    and Technology, Ho Chi Minh City, Vietnam

    e-mail: [email protected]

    123

    Med Chem Res

    DOI 10.1007/s00044-013-0794-y

    MEDICINALCHEMISTRYRESEARCH

    Author's personal copy

  • treatment method. Recently, natural herbal medicines are

    preferable options. A study by Modak and coworkers have

    provided a list of several medicinal plants used for diabetes

    treatment (Modak et al., 2007). Several of them, such as

    Caesalpinia bonducella (L) Roxb (Chandramohan et al.,

    2008), Allium cepa (Onion) (G. B. Kavishankar et al.,

    2011), Vitis vinifera and Euonymus alatus (Chan et al.,

    2012), share a high concentration of Flavonoid compounds

    including Quercetin, Kaemferol, Cyanidin, and Pelargo-

    nium. Our study focuses on Euphorbia hirta, one member

    of Euphorbiaceae family which has high concentration of

    these bioactive compounds in their extraction. E. hirta has

    been reported to be effective in reducing diabetes in mice

    in vitro studies (Anup et al., 2012; Sunil and Rashmi,

    2010). When, the ethanol extracted compound from the

    leaves, stems, and flowers of E. hirta was applied to mice

    which had induced diabetes by a single intraperitoneal

    injection of streptozotocin (150 mg/kg), the result revealed

    that compounds displayed antihyperglycemic activity in

    the diabetic mice. To further understand this result, the

    current study focuses on identifying the bioactivity of the

    antidiabetes components of the ethanol extracts of E. hirta

    by using them as ligand molecules for four targeted pro-

    teins to determine which compound is an effective binder.

    E. hirta contains three families of biomolecular com-

    pounds such as tannin, flavonoid, and terpenes (Moham-

    mad et al., 2010; Sandeep and Chandrakant, 2011). Tannin

    and flavonoid are strong antioxidants (Pietta, 2000; Rield

    and Hagerman, 2001). Quercitrin, one compound in Fla-

    vonoid group, was good illustration. In the thiobarbituric

    acid (TBA) experiment quercitrin showed strong antioxi-

    dant activity, giving 92.5 % inhibition and the IC50 was

    calculated to 23.40 lM (Basma et al., 2011). Products ofoxidation have been shown to play an essential role in the

    pathogenesis of diabetes type 1 and 2 (Maritim et al.,

    2003). In addition, the combination of high level of free

    radicals and inactivation of antioxidant defense have been

    shown to cause damage in cellular organelles and to the

    production of insulin (Maritim et al., 2003). Therefore,

    antioxidants such as tannin and flavonoid are considered to

    have potential as therapeutic drugs for diabetes treatment.

    Both flavonoid and terpenes from medicinal plants have

    already been shown to have strong effects on diabetes

    (Mankil et al., 2006). In light of this evidence, the current

    study will screen a range of bioactive compounds from all

    the three families to determine if and how they interact

    with proteins important to human diabetes type 2.

    Several proteins which were involved in glucose

    metabolism consequently related to diabetes type 2. From

    our intensive review on targeted proteins for antidiabetic

    drug development (Trang and Ly, 2012), these important

    target proteins including 11-b hydroxysteroid dehydroge-nase type 1 (11b-HSD1), Glutamine fructose-6-phosphate

    amidotransferase (GFPT or GFAT), protein phosphatase

    (PPM1B), and Mono-ADP-ribosyltransferase sirtuin-6

    (SIRT6) were selected as receptors in this study.

    Material and methodology

    Molecular docking

    Receptor

    11-b HSD1, GFAT, PPM1B, and SIRT6 are the proteinsrelating to diabetes type 2 in humans (Hasan et al., 2002;

    Trang and Ly, 2012; Vogel, 2002; Shi, 2009; Nerlich

    et al., 1998). The 3D structures of these molecules taken

    from Protein Data Bank are as follows: 11b-HSD1 (PDBcode 1XU7), GFAT (PDB code 2ZJ4), PPM1B (PDB

    code 2P8E), and SIRT6 (PDB code 3K35). All these

    structures were tested again at the binding site to verify the

    capacity of the model in reproducing experimental obser-

    vations with new ligand. In view of this, 11b-HSD1(PDB code 1XU7) was tested again with molecule:

    NADPH dihydro-nicotinamide-adenine-dinucleotide phos-

    phate; GFAT (PDB code 2ZJ4) was tested with 2-deoxy-2-

    amino glucitol-6-phosphate; SIRT6 (PDB code 3K35) with

    adenosine-5-diphosphoribose; and PPM1B (PDB code

    2P8E) with cysteine sulfonic acid. They served as control

    docking models illustrated in supplementary Table 4. This

    work was done by Autodock vina in molecular docking

    experiment and VMD in visualization (Humphrey et al.,

    1996).

    Bioactive compounds in E. hirta

    Most of the 3D structures of drug molecules in E. hirta

    were downloaded from PubChem Compound section of

    National Center for Biotechnology Information (NCBI).

    For molecules with unknown structure, the 3D models

    were built based on 2D picture by GaussView 5.0, opti-

    mized by Gaussian with Hatree-Fock method, and the

    basis-set 6-31G* to increase reliability of structure. The 2D

    structures of 27 ligands are illustrated in Table 1.

    Docking simulations

    The docking process was done using Autodock Vina (Oleg

    and Arthur, 2009).

    Autodocktool, one section in Molecular Graphic Labo-

    ratory, was applied to build a complete pdbqt file name of

    ligands and receptors. Receptor preparation was carried out

    by four major sub-steps: (i) Adding polar hydrogen, (ii)

    Removing water molecule, (iii) Computation of Gasteiger

    charges, and (iv) Location of Grid box (supplementary

    Med Chem Res

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    Med Chem Res

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    Med Chem Res

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  • Fig. 7). The site of Grid Box is illustrated in Table 2. For

    setting the ligands, the 3D structure in pdb file-type was

    loaded into Autodocktool to detect the root and convert it

    to pdbqt.

    Before switching on the Autodock Vina, one configure

    file was built to encode information for starting this pro-

    gram. The content of configure file was determined as

    position of receptor file, ligand file, data of Grid-boxs

    three coordinates (Table 2), the size of Gridbox which was

    set up in 30 9 30 9 30 points, number of modes which

    were ten, and the energy range which was set up at 9 kcal/

    mol.

    Pharmacophore modeling

    This part of process was carried out using the pharmaco-

    phore tool included in LigandScout. The program showed

    us the 2D and 3D structure with the position and interaction

    of ligand in the binding pocket of the receptor. From these

    2D pictures, some types of bond were identified by color

    and symbol. Four features namely hydrogen bond acceptor

    (HBA), hydrogen bond donor (HBD), negative ionizable

    area, hydrophobic interaction were labeled as red arrow,

    green arrow, red star, and orange bubble (supporting

    information), respectively.

    Result and discussion

    Free energy binding of bioactive compound to targeted

    protein related to diabetes type 2

    In order to investigate the binding capacity of bioactive

    compounds in E. hirta Linn on proteins related to diabetes

    type 2 in humans, we docked the compounds to the pro-

    teins. Results showed that the absolute value of binding

    energy ranged from 7.0 to 12.8 kcal/mol (Fig. 2). The

    group of terpenes including a-amyrine, b-amyrine, friede-lin, taraxerol, taraxerone, and cycloartenol showed the best

    results. All receptor for terpenes group had particularlyTa

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    Table 2 Position of the Grid box center in four protein molecules

    Protein molecule PDB code X, Y, Z coordination (A)

    X Y Z

    11b-HSD1 1XU7 18.125 -27.72 -0.34

    GFAT 2ZJ4 8.27 4.54 -7.67

    PPM1B 2P8E -11.72 -18.53 9.86

    SIRT6 3K35 14.5 -18.02 17.04

    Med Chem Res

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  • high binding affinities with the highest at 11b-HSD1 (PDBcode 1XU7) which being 100 % larger than 11 (kcal/mol).

    The next highest positions were SIRT6, GFAT, and

    PPM1B (Fig. 1). For the terpenes group, the line for 11b-HSD1 stayed at the upper level when compared to the other

    three receptors. For the ligands tested, terpenes were

    therefore considered to be the best drug candidate for

    diabetes type 2 and the three compounds that had[8 kcal/mol in terms of absolute value in binding affinity were

    chosen for pharmacophore modeling. They were a-amy-rine, b-amyrine, and taraxerol. The high binding efficiencyis thought to be due to the multiple methyl groups in the

    structure as these functional groups have a strong ability to

    construct hydrophobic bonds with the free residue of the

    receptor.

    The flavonoid family had the largest number of ligands

    and some of these also had high binding affinity to all four

    receptors. Five of these quercitrin, rutin, myricitrin, cy-

    anidin 3,5-O-diglucoside, pelargonium 3,5-diglucose were

    selected for pharmacophore modeling step. Unsurprisingly,

    the five molecules had multiple aromatic phenol rings in

    their structure which is characteristic of polyphenol family.

    This structure contains a high number of hydroxyl groups

    which serve to facilitate ligands in forming hydrogen bonds

    with free residue of receptor. In addition, to containing a

    high number of ligands with high binding capacities, the

    flavonoid family also contained three compounds (querci-

    tol, rhamnose, and camphol) which had the lowest binding

    affinity. The absolute value for these three ligands is shown

    sequentially in Table 1. They all share a simple structure

    with only one ring and few hydroxyl groups outside which

    may explain their low binding affinity. Thus, these mole-

    cules appear to have a low capacity to form a complex with

    the four target proteins.

    The tannin family also had molecules which bound well

    to the receptors, but there was no representative molecule

    for pharmacophore docking. However, they displayed

    strong interaction with 11b-HSD1, GFAT1, SIRT6, and lowinteraction with PPM1B. Neuchlogenic acid and 3,4 dio

    galloy-quinic acid are illustrated in supplementary Table 3.

    From the results of this section, we determined that eight

    compounds showed strong binding capacity (|binding

    energy| [8.0 kcal/mol) to all four 11b-HSD1, SIRT6,GFAT, and PPM1B receptors. Three of them belong to

    terpenes group (a-amyrine, b-amyrine, and taraxerol), theother five are members of flavonoid family (quercitrin,

    rutin, myricitrin, cyanidin 3,5-O-diglucoside, and pelargo-

    nium 3,5-diglucose). Five of them have structure of poly-

    phenol family which had previously considered as potential

    drug candidate for diabetes type 2 patients (Kati et al.,

    2010). Besides that, overall viewing Fig. 1, the line of 11b-HSD1 stayed in highest level in most of the case. It means

    that there is stronger interaction of ligand on this protein,

    compared to other three receptors. Figure 2 shows 24 of the

    27 tested (89 %) were higher than 8 kcal/mol and the

    friedelin molecule in the terpenes group had better binding

    capacity than the controls. Thus the results provide strong

    evidences that 11b-HSD1 is a suitable receptor for diabetestype 2 patients being treated with bioactive compounds

    derived from E. hirta.

    Fig. 1 Absolute value of binding energy of 27 ligands to 4 receptors.The short name of these ligands was written as QTin Quercetin, QTrin

    quercitrin, QTol quercitol, RhNose Rhamnose. RTn Rutin, LDin

    Leucocyanidin, MTrin Myricitrin, CyGlu cyanidin-3,5-diglucose,

    KRon kaemferon, PeGlu pelargonium-3,5-diglucose, CPhol camphol,

    Ngenic Neuchlogenic acid, GQnic 3,4 dio galloy-quinic acid, BGlate

    Benzyl gallate, BSrol Betasitosterol, CSrol Campesterol, SSrol

    Stigmasterol, DodeAte 12 deoxyphor-13 dodecanoate-20 acetate,

    phenylAte 12 deoxyphor-13 phenylacetate-20 acetate, InTate Ingenol

    triacetate, RNol Resiniferonol, ARine a-amyrine, BRine b amyrine,Flin Friedelin, TRol Taraxerol, TRone Taraxerone, CyNol

    Cycloartenol

    Med Chem Res

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  • Pharmacophore modeling

    11b-HSD1

    High binding affinity of the ligand to the receptor (Fig. 2)

    was explained clearly by interaction analysis in Fig. 3.

    According to the molecular framework, there is a tenable

    pharmacophore identified between flavonoid family and

    non-flavonoid family (terpenes group). Structure of flavo-

    noid contained high number of hydroxyl group which can

    form strong hydrogen bonds with receptors. Five molecules

    (cyanidin 3,5-O-diglucose, myricitrin, pelargonium 3,5-

    diglucose, quercitrin, and rutin) were frequently within

    hydrogen contact with residues Tyr 183, Thr 124, and Ala

    172. From this observation, three residues seemed to play a

    critical role in catalytic activity of 11b-HSD1 (PDB code1XU7). This conclusion is strongly supported by studies on

    crystal structures and biochemical of 11b-HSD1 (Malinet al., 2006; David et al., 2005). In Fig. 3dh, the Tyr 183

    subunit has an important function in the bonding to the

    hydroxyl hydrogen of all five ligands whereas Thr 124

    could form close vicinity to the ligand surface, and from

    there, the hydrogen bond could be set up between them.

    The same kind of interaction also happened in case of Ala

    172 but this residue was also within hydrophobic contact

    with hydrophobes part on ligand (Fig. 3d, f). Moreover,

    cyanidin 3,5-O-diglucose, pelargonium 3,5-diglucose, and

    rutin could link to the receptor with a high number of

    hydrogen bonds compared to myricitrin and quercitrin.

    This action can be explained by the affinity of each ste-

    roidal hydroxyl group for the receptor. For example, this

    functional group in cyanidin 3,5-O-diglucose could donate

    two or three hydrogen bonds with different residues such as

    Ser 169, Ser 170, Tyr 183, and Leu 215.

    In case of terpenes group which has many hydrophobic

    components (CH3 group, benzene ring). Thus, terpenes can

    form many hydrophobic interactions with other hydro-

    phobic residues in receptors active site. a-amyrine, b-amyrine, and taraxerol seemed to be rich on hydrophobic

    contact at position of the methyl group which is non-polar.

    The compounds cyanidin 3,5-O-diglucose, pelargonium

    3,5-diglucose, and quercitrin were also in contact with this

    receptor because of the presence of the benzene ring.

    Previous studies using crystal structure analysis have

    reported, Ser 261 and Arg 269 are reported as largely

    hydrophobic residues in previous study involving crystal

    structure analysis (Malin et al., 2006) but in the figures

    from our study, these hydrophobic interactions were not

    present. Ile 46, Ile 121, Leu 217, Leu 126, Thr 220, Thr

    222 were frequently observed in ligandreceptor inter-actions between, so they can be a critical part in binding

    pocket.

    GFAT

    There were similarities in the binding mode of 11b-HSD1 and the steroidal hydroxyl group of cyanidin 3,5-

    O-diglucose, myricitrin, pelargonium 3,5-diglucose,

    quercitrin, and rutin. All established a hydrogen bond

    with GFAT1 (PDB code 2ZJ4) at position of Ser 420,

    Ser 376, Gln 421, Thr 375, and Ser 422 in the binding

    pocket. This result was validated in previous studies

    (Kuo-Chen 2004; Vedantham et al., 2007; Yuichiro

    et al., 2009). In particular, pelargonium 3,5-diglucose

    was seen to have a similar binding mode to the Glc6P

    which is a strong inhibitor of GFAT1 (Vedantham et al.,

    2007). Besides that, Fig. 4ac, f, g displayed Thr 425

    which was close to not only methyl groups but also to

    the hydroxyl groups of a-amyrine, b-amyrine, quercitrin,rutin, and taraxerol.

    In addition, all of these ligands had hydrophobic inter-

    actions with receptors at positions of residue Leu 673, Val

    677, Leu 556, and Thr 425. The mechanism of these

    interactions, however, differed among the ligands. a-am-yrine, b-amyrine, myricitrin, and taraxerol developedhydrophobic bonds with the hydrophobic receptor from

    methyl group. Meanwhile, the link between the benzene

    ring and interested part of receptor was decisive tendency

    Fig. 2 Absolute value ofbinding energy between E.

    hirtas ligand and 11b-HSD1protein

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  • Fig. 3 Bindingmodesofselectivecompoundswith11b-HSD1.a aamyrine,b b-amyrine, c taraxerol, d myricitrin, e pelargonium 3,5-diglucose, f querci-trin, g rutin, and h cyanidin 3,5-O-diglucose. ac belong to terpenes family

    and the rest are members of Flavonoid family. Hydrogen Bond Acceptor

    (HBA) was shown asgreen vectors, Hydrogen Bond Donor (HBD) was

    drawn as red vectors. Hydrophobic (H) was illustrated as yellow spheres

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  • Fig. 4 Binding modes of selective compounds with GFAT. a a amyrine,b b-amyrine, c taraxerol, d myricitrin, e pelargonium 3,5-diglucose, f querci-trin, g rutin, and h cyanidin 3,5-O-diglucose. ac belong to terpenes family

    and the rest are members of Flavonoid family. Hydrogen Bond Acceptor

    (HBA) was shown as green vectors, Hydrogen Bond Donor (HBD) was

    drawn as red vectors. Hydrophobic (H) was illustrated as yellow spheres

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  • Fig. 5 Binding modes of selective compounds with PPM1B. a a-amyrine, b b-amyrine, c taraxerol, d myricitrin, e pelargonium 3,5-diglucose, f quercitrin, g rutin, and h cyanidin 3,5-O-diglucose. ac belongto terpenes family and the rest are members of Flavonoid family. Hydrogen

    Bond Acceptor (HBA) was shown as green vectors, Hydrogen Bond

    Donor (HBD) was drawn as red vectors. Hydrophobic (H) was illustrated

    as yellow spheres

    Med Chem Res

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  • Fig. 6 Binding modes of selective compounds with SIRT6. a aamyrine, b b amyrine, c taraxerol, d myricitrin, e pelargonium 3,5-diglucose, f quercitrin, g rutin, and h cyanidin 3,5-O-diglucose. ac belong to terpenes family and the rest are members of Flavonoid

    family. Hydrogen Bond Acceptor (HBA) was shown as green vectors,

    Hydrogen Bond Donor (HBD) was drawn as red vectors. Hydropho-

    bic (H) was illustrated as yellow spheres

    Med Chem Res

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  • in cyanidin 3,5-O-diglucose, pelargonium 3,5-diglucose,

    quercitrin, and rutin.

    PPM1B and SIRT6

    PPM1B (PDB code 2P8E) had low binding affinity to

    ligand when compared to 11b-HSD1, GFAT, and SIRT6but not compared to rutin. This could be explained first by

    a low number of bonds between the ligand and the recep-

    tor. a-amyrine, b-amyrine, cyanidin 3,5-O-diglucose, andpelargonium 3,5-diglucose are good illustrations. The

    binding energy of a-amyrine to 11b-HSD1, GFAT, SIRt6,and PPM1B was -11.5, -9.6, -10.4, -8.6 (kcal/mol),

    respectively, and the numbers of bonds for their ligand

    interaction with the receptor were 23, 12, 11, and 8,

    respectively. Moreover, the number of hydrophobic and

    hydrogen bonds was also significantly reduced in the

    arrangement from 11b-HSD1 to PPM1B. For rutin, thetotal number of bonds in PPM was lower than GFAT but

    higher than 11b-HSD1 and SIRT6. However, bindingaffinity did not follow this pattern and to understand this

    finding required a molecular dynamic (MD) and hydrogen

    bond analysis step to show. The duration time of the

    interaction between ligand and receptor is high frequency

    of residues Ala 197, Leu 196, Asp 286, Asp 60, and Asn

    287 seemed to play an important role in binding at mode of

    PPM1B (Fig. 5). This result differed to Shi (2009) result

    which showed Asp 119, Asp 231, Asp 34, Asp 18, Arg 13,

    and Gly 35 as the key residue in binding site. This differ-

    ence can be explained due to different in chain we tested

    on.

    By describing the crystal structure of SIRT6 (PDB code

    3K35), Fig. 6 revealed the different positions of each

    ligand in the binding pocket of 8. Figure 6e, g, h supported

    this finding. Although there is similarity in the structure of

    the molecules, three compounds bound to different residues

    with different mechanisms. The benzene ring in cyanidin

    3,5-O-diglucose and rutin contacted Trp 255 and Ala 56

    through hydrophobic interaction, but in pelargonium 3,5-

    diglucose, the Trp 186 had this function. The hydroxyl

    group of the benzene ring in Fig. 6h was the HBD to Thr

    55, in contrast with HBA of Tyr 255 in Fig. 6g. From this,

    SIRT6 is seen to have a high number of residue which

    could form interactions with the functional group of the

    ligand. However, most of ligand could link with Trp 186

    and Leu 184 which was previously found by Patricia et al.

    (2011) in their study of the structure and biochemical

    function of SIRT6.

    In SIRT6, the total number of bonds did not used to

    explain the differences in binding affinity among the three

    other receptors in most of situation. For example, there

    were 11 bonds between rutin and SIRT6, this number was

    lower than 16 bonds in GFAT and 13 bonds in PPM1B but

    rutin had a stronger binding affinity to SIRT6 with -10

    (kcal/mol) in binding affinity which was lower than -8.6

    (kcal/mol) in GFAT and -8.6 (kcal/mol) in PPM1B. This

    result for rutin can, however, be explained by MD and

    hydrogen bond analysis in PPM1B. These analysis will

    figure out stable hydrogen bond and hydrophobic interac-

    tion between ligands and receptors.

    Conclusion

    Docking simulation of 27 drug candidates extracted from

    E. hirta showed that the flavonoid and terpenes families

    including cyanidin 3,5-O-diglucose, myricitrin, pelargo-

    nium 3,5-diglucose, quercitrin, rutin, a-amyrine, b-amy-rine, and taraxerol have high binding affinity to all four

    interested receptors which are strongly relevant to diabetes

    type 2 in humans. These binding results were shown by

    LigandScout to consist of a high number of hydrogen bond

    and hydrophobic interactions. However, with the differ-

    ences in pharmacophore features, the flavonoid family

    shows more advantages in binding to these receptors than

    terpenes due to relatively strong hydrogen bonds. The

    binding pocket of each receptor: Tyr 183, Thr 124, Ala

    172, Ile 46, Ile 121, Leu 217, Leu 126, Thr 220, Thr 222 in

    11b-HSD1, Ser 420, Ser 376, Gln 421, Thr 375, Ser 422,Leu 673, Val 677, Leu 556, Thr 425 in GFAT1, Ala 197,

    Leu 196, Asp 286, Asp 60, Asn 287 in PPM1B and Trp 186

    and Leu 184 in SIRT6 is in agreement with the previous

    research. Moreover, five molecules from the flavonoid

    family have the polyphenol structure indirectly confirming

    the strong capacity of the polyphenol family as a treatment

    for diabetes type 2 (Kati et al., 2010). Also the binding

    affinity of three of the terpenes compounds also suggest

    that this family is also a good prospect for the treatment of

    type 2 diabetes. Finally, the comparison of the binding

    affinity among the four receptors indicates that 11b-HSD1is the best receptor for accepting of these bioactive com-

    pounds derived from E. hirta.

    This study has partially demonstrated the effect of E.

    hirta on some proteins relating to diabetes type 2. By

    calculating the binding energy and pharmacophore mod-

    eling, we have obtained the list of 8 promising compounds

    in E. hirta. However, further research, using the MD to

    determine more accurate binding affinities and the stability

    of ligandproteins interactions, is highly suggested. In

    addition, experiment study to determine the concentration

    of these compounds in E. hirta extraction and their anti-

    diabetic activity should be done for drug formulation.

    Acknowledgments This research was funded by the Ho Chi MinhInternational University-Vietnam National University. The comput-

    ing resources and support by the Institute for Computer Science and

    Med Chem Res

    123

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  • Technology (ICST) at the Ho Chi Minh City were gracefully

    acknowledged.The authors wish to thank Prof. Ho Thanh Phong for

    his encouragements and Dr Gay Marsden for proof reading our

    manuscript.

    References

    Anup KM, Smriti T, Zabeer A, Ram K, Sahu (2012) Antidiabetic and

    antihyperlipidemic effect of Euphorbia hirta in streptozotocin

    induced diabetic rats. Der Pharmacia Lett 4(2):703707

    Basma AA, Zakaria Z, Latha LY, Sasidharan s (2011) Antioxidant

    activity and phytochemical screening of the methanol extracts of

    Euphorbia hirta L. Asian Pac J Trop Med 4(5):386390

    Chan CH, Ngoh GC, Yusoff R (2012) A brief review on anti-diabetic

    plants: global distribution, active ingredients, extraction tech-

    niques and acting mechanisms. Phcog 6:2228

    Chandramohan G, Ignacimuthu S, Pugalendi KV (2008) A novel

    compound from Casearia esculenta (Roxb.) root and its effect on

    carbohydrate metabolism in streptozotocin-daibetic rats. Eur J

    Pharmacol 590:437443

    David JH, Yiqin W, Robert JS, Mark H, Andy J, Gyorgy PS, Kathleen

    A (2005) Conformational flexibility in crystal structure of human

    11b- hydroxysteroid dehydrogenase type 1 provide insights intoglucocorticoid interconversion and enzyme regulation. J Biol

    Chem 280(6):46394648

    Hasan S, El-Andaloussi N, Hardeland U, Hassa PO, Burki C, Imhof

    R, Schar R, Hottiger MO (2002) Acetylation regulates the DNA

    end-trimming activity of DNA polymerase beta. Mol Cell

    10(5):12131222

    Humphrey W, Dalke A, Schulten K (1996) VMD: visual molecular

    dynamics. J Mol Graph 14:3338

    International Diabetes Federation (IDF) (2006) Diabetes Atlas, 3rd

    edn. International Diabetes Federation, Brussels

    Kati H, Riitta T, Isabel BP, Jenna P, Marjukka K, Hannu M, Kaisa P

    (2010) Impact of dietary polyphenols on carbohydrate metabo-

    lism. Int J Mol Sci 11:13651402

    Kavishankar GB, Lakshmidevi N, Mahadeva Murthy S, Prakash HS,

    Niranjanh SR (2011) Diabetes and medicinal plantsa review.

    Int J Pharm Biomed Sci 2(3):6580

    Kuo-Chen C (2004) Molecular therapeutic target for type-2 diabetes.

    J Proteome Res 3:12841288

    Malin H, Naeem S, Bjorn E, Doreen M, Stefan S, Margareta F, Tjeerd

    B, Jerk V, Lars A, Udo O (2006) Active site variability of type 1

    11b-hydroxysteroid dehydrogenase revealed by selective inhib-itors and cross-species comparisons. Mol Cell Endocrinol

    248:2633

    Mankil J, Moonsoo P, Hyun CL, Yoon-Ho K, Eun SK, Sang KK

    (2006) Antidiabetic agents from medicinal plants. Curr Med

    Chem 13:12031218

    Maritim AC, Sanders RA, Watkins JB (2003) A review: diabetes,

    oxidative stress, and antioxidants. J Biochem Mol Toxicol

    17(1):2438

    Modak M, Dixit P, Londhe J, Ghaskadbi S, Paul ADT (2007) Indian

    herbs and herbal drugs used for the treatment of diabetes. J Clin

    Biochem Nutr 40(3):163173

    Mohammad ABR, Zakaria Z, Sreenivasan S, Lachimanan YL, Santha-

    nam A (2010) Assessment of Euphorbia hirta L. Leaf, flower, stem

    and root extracts for their antibacterial and antifungal activity and

    brine shrimp lethality. J Mol 15:60086018

    Nerlich AG, Sauer U, Kolm-Litty V, Wagner E, Koch M, Schleicher

    ED (1998) Expression of glutamine:fructose-6-phosphate amido-

    transferase in human tissues: evidence for high variability and

    distinct regulation in diabetes. Diabetes 47:170178

    Patricia WP, Jessica LF, Mark KD, Aiping D, Aled ME, John MD

    (2011) Structure and biochemical function of SIRT6. J Biol

    Chem 286(16):1457514587

    Pietta PG (2000) Flavonoids as antioxidants. J Nat Prod 63(7):

    10351042

    Rield KM, Hagerman AE (2001) Tannin protein complexes as radical

    scavengers and radical sinks. J Agric Food Chem 49:49174923

    Sandeep BP, Chandrakant SM (2011) phytochemical investigation

    and antitumour activity of Euphorbia hirta Linn. Eur J Exp Biol

    1(1):5156

    Shi Y (2009) Serine/threonine phosphatases: mechanism through

    structure. Cell 139:1016

    Sunil K, Rashmi DK (2010) Evaluation of antidiabetic activity of

    Euphorbia hirta Linn in streptozotocin induced diabetes mice.

    Indian J Nat Prod Resour 1(2):200203

    Trang N, Ly L (2012) Targeted proteins for diabetes drug design. Adv

    Nat Sci 3:013001

    Vedantham S, Narasimhan S, Rangasamy S, Syed F, Viswanathan M,

    Muthuswamy B (2007) Glutamine fructose-6-phosphate amido-

    transferase (GFAT) gene expression and activity in patients with

    type 2 diabetes: inter-relationships with hyperglycaemia and

    oxidative stress. Clin Biochem 40:952957

    Vogel HG (2002) Drug discovery and evaluation. Pharmalogical

    assays, 2nd edn. Springer, Berlin, pp 10301036

    Wild S, Roglic G, Green A, Sicree R, King H (2004) Global

    prevalence of diabetes: estimates for the year 2000 and

    projections for 2030. Diabetes Care 27:10471053

    Oleg T, Arthur JO (2009) Software news and update AutoDock Vina:

    improving the speed and accuracy of docking with a new scoring

    function, eficient optimization, and multithreading. Wiley Inter-

    Science, New York. doi:10.1002/jcc.21334

    Yuichiro N, Masahiko B, Hiroshi S, Kenji W, Fumitaka G, Hideaki T,

    Kazumi K, Makoto K (2009) Structural analysis of human

    glutamine: fructose-6-phosphate amidotransferase, a key regu-

    lator in type 2 diabetes. FEBS Lett 583:163167

    Med Chem Res

    123

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    An investigation of antidiabetic activities of bioactive compounds in Euphorbia hirta Linn using molecular docking and pharmacophoreAbstractIntroductionMaterial and methodologyMolecular dockingReceptorBioactive compounds in E. hirtaDocking simulations

    Pharmacophore modeling

    Result and discussionFree energy binding of bioactive compound to targeted protein related to diabetes type 2Pharmacophore modeling11 beta -HSD1GFATPPM1B and SIRT6

    ConclusionAcknowledgmentsReferences