Literature DB >> 25298685

Identification of natural inhibitors against angiotensin I converting enzyme for cardiac safety using induced fit docking and MM-GBSA studies.

Balakrishnan Vijayakumar1, Subramani Parasuraman2, Ramasamy Raveendran3, Devadasan Velmurugan4.   

Abstract

BACKGROUND: Cleistanthins A and B are isolated compounds from the leaves of Cleistanthus collinus Roxb (Euphorbiaceae). This plant is poisonous in nature which causes cardiovascular abnormalities such as hypotension, nonspecific ST-T changes and QTc prolongation. The biological activity predictions spectra of the compounds show the presence of antihypertensive, diuretic and antitumor activities.
OBJECTIVE: Objective of the present study was to determine the in silico molecular interaction of cleistanthins A and B with Angiotensin I- Converting Enzyme (ACE-I) using Induced Fit Docking (IFD) protocols.
MATERIALS AND METHODS: All the molecular modeling calculations like IFD docking, binding free energy calculation and ADME/Tox were carried out using Glide software (Schrödinger LLC 2009, USA) in CentOS EL-5 workstation.
RESULTS: The IFD complexes showed favorable docking score, glide energy, glide emodel, hydrogen bond and hydrophobic interactions between the active site residues of ACE-I and the compounds. Binding free energy was calculated for the IFD complexes using Prime MM-GBSA method. The conformational changes induced by the inhibitor at the active site of ACE-I were observed based on changes of the back bone Cα atoms and side-chain chi (x) angles. The various physicochemical properties were calculated for these compounds. Both cleistanthins A and B showed better docking score, glide energy and glide emodel when compared to captopril inhibitor.
CONCLUSION: These compounds have successively satisfied all the in silico parameters and seem to be potent inhibitors of ACE-I and potential candidates for hypertension.

Entities:  

Keywords:  ADME/Tox; Chi angles; Cleistanthin A; Cleistanthin B; Induced fit docking; Prime MM-GBSA

Year:  2014        PMID: 25298685      PMCID: PMC4189283          DOI: 10.4103/0973-1296.139809

Source DB:  PubMed          Journal:  Pharmacogn Mag        ISSN: 0973-1296            Impact factor:   1.085


INTRODUCTION

Plants are found to be the treasure chest of biological substances/drugs such as anti-cholinergic agents, skeletal muscle relaxants and salicylates. In some cases, compounds that exhibit medicinal properties have been obtained from plants which are considered to be toxic. Atropine, D-tubocurarine, hyoscine, digoxin and strychnine were isolated from toxic plants. Cleistanthus collinus Roxb., (Euphorbiaceae) is one such toxic plant, which exerts significant toxicity on cardiovascular, renal and respiratory system. The toxic effect also induces metabolic acidosis and alters liver and kidney functions. From the leaves of Cleistanthus collinus, more than 25 compounds were identified in which some compounds including cleistanthin A and cleistanthin B were reported as toxic.[1] Both cleistanthins A and B are glycosides commonly present in Euphorbiaceae family plants.[2] Cleistanthin A is also present in the leaves of Phyllanthus taxodiifolius Beille., (Euphorbiaceae) and this plant is commonly used as a traditional diuretic agent among Thai people.[3] The predicted biological activity spectra of cleistanthins A and B showed the presence of hypotensive effect, diuretic and antitumor activities. Both compounds had significant antineoplastic and hypotensive effects in rodents and its cell lines.[45] The in vitro studies of cleistanthins A and B compounds showed a significant diuretic effect but the effect was not comparable with standard diuretic agents.[4] Hence; the present study aims to determine the possible interactions and binding free energy of cleistanthins A and B with target of ACE-I using Induced Fit Docking and Prime Molecular Mechanics Generalized Born Surface Area (MM-GBSA) analysis.

MATERIALS AND METHODS

Ligand preparation and biological activity prediction

The natural compounds of cleistanthins A and B were isolated and purified from the leaves of Cleistanthus collinus using column chromatographic method and the structures were determined.[4] These structures [Figure 1] were built using builder panel in Maestro and ligand preparation was carried out for these compounds by Ligprep 2.3 module (Schrödinger, USA, 2009). Ligprep performs addition of hydrogens, 2D to 3D conversion, realistic bond lengths and bond angles, low energy structure with correct chiralities, ionization states, tautomers, stereochemistries and ring conformations. The energy minimized compounds were subjected to biological activity prediction based on their structural orientation using PASS (Prediction of Activity Spectra for Substances) tool.[6]
Figure 1

Chemical diagrams of (a) Captopril, (b) cleistanthin A and (c) cleistanthin B inhibitors used in the in silico study

Chemical diagrams of (a) Captopril, (b) cleistanthin A and (c) cleistanthin B inhibitors used in the in silico study

Protein preparation

The PASS prediction results also showed that these compounds have anti-pulmonary hypertension property. Based on the results of in vitro, in vivo and in silico PASS studies,[13] the x-ray crystal structure of human testicular Angiotensin I-Converting Enzyme (tACE-I) with captopril complex was recovered from Protein Data Bank (1UZF). The ACE is a zinc metallopeptidase that plays an important role of catalyzing the proteolysis of angiotensin I to the vasopressor angiotensin II. ACE, angiotensin I and II are part of renin-angiotensin system which regulates the blood pressure, volume of fluids in the body. ACE catalyses the conversion of angiotensin I to II leading to vasoconstriction. ACE inhibitors block the conversion of angiotensin I to II thereby reducing the cardiac index and increasing natriuresis.[7] Selection of potent inhibitors to this enzyme, may lead to development of new drugs for the treatment of cardiovascular diseases. Captopril is the first approved drug as an orally active ACE inhibitor for treatment of human hypertension, which was accomplished in 1981 by Cushman and Ondetti.[8]

Induced fit docking

In the standard (rigid) mode of docking, as the protein is held rigid and the ligand is free to rotate, the simulation may provide misleading results. Also, many proteins undergo side-chain (χ angles) or backbone (Cα) conformational changes or both, while ligand binds at the active site of the target. These conformational changes allow the protein to generate close conformations to the shape of the ligand and lead to good binding affinity complex. In this study, the IFD (flexible docking) was carried out using Glide software (Schrödinger LLC 2009, USA) to predict accurate concomitant structural movements when ligand binds at the active site of the protein.[9] The energy minimized human tACE-I-captopril complex was subjected for IFD studies. At the active site of tACE-I complex, the captopril binding was used to generate the grid for IFD calculation. While docking, the default van der Waals radii (0.50) was used for non-polar atoms of the receptor and ligands (captopril, cleistanthin A and cleistanthin B). In IFD study, the active site residues of tACE-I conform more closely to the shape and binding mode of the compounds. The energetically favorable IFD complexes were obtained for all compounds and the best poses were selected by docking score, glide energy and glide emodel for further calculations. Ligplot[10] and PyMol[11] were used for analyzing the hydrogen bond and hydrophobic interactions.

Prime MM-GBSA

The ligand strain energies and ligand binding energies were calculated for the natural and captopril compounds using Prime MM-GBSA modules (Schrφdinger LLC 2009, USA). The best poses of IFD complexes were chosen to obtain the binding free energy calculation. Prime MM-GBSA is a method that combines Optimized Potential for Liquid Simulations-All Atoms (OPLSAA) force field, molecular mechanics energies (EMM), an SGB salvation model for polar solvation (GSGB), and a non-polar salvation term (GNP) composed of the non-polar solvent accessible surface area and van der Waals interactions. The total binding free energy: ΔGbind = Gcomplex − (Gprotein + Gligand)

Cα and χ angles conformational changes

The best IFD complexes and the crystal structure of tACE-I were taken for analyzing the conformational changes of Cα atoms and χ angles at the active site. The IFD complexes were superimposed with the crystal structure of tACE-I for the structure based alignment matching using Chimera.[12] Needleman-Wunsch algorithm and BLOSUM-62 matrix were used in chimera for aligning the amino acid residues based on the alignment of the helix and strand (Cα atom) of the IFD complexes with the respective helix and strand (Cα atom) of the crystal structure. Then, the side-chain χ angles (χ1 (N-Cα-Cβ-Cγ), χ2 (Cα-Cβ-Cγ-Cδ), χ3 (Cβ-Cγ-Cδ-Cε), and χ4 (Cγ-Cδ-Cε-Cζ)) were analyzed to understand the conformational changes at the active site of tACE-I in the IFD complexes. These side-chain χ angles were calculated and analyzed using MolProbity[13] and Chimera software.

Absorption, Distribution, Metabolism and xcretion (ADME)/ Tox

The energy minimized natural compounds were subjected into ADME/Tox calculations using Qikprop 3.2 (Schrödinger 2009). Qikprop is quick and accurate; it predicts structurally significant descriptors and pharmaceutically relevant properties of organic molecules. QikProp provides ranges for comparing a particular molecule's physicochemical properties with those of 95% of known drugs.

RESULTS AND DISCUSSION

Docked complex analyses

Captopril was redocked at the active site of tACE-I [Figure 2a]. The docked complex has the docking score = -4.09, Glide energy = -32.19 Kcal/mol and Glide emodel = −45.66 Kcal/mol [Table 1]. The redocked complex was superimposed with the crystal structure of tACE-I and the RMSD was 0.237Å. Captopril has maintained four hydrogen bond interactions with the active site residues. In this compound, the O2 atom has trifurcated hydrogen bond acceptor interactions with Gln 281 (NE2), Lys 511 (NZ) and Tyr 520 (OH) and O3 atom has interacted with His 513 (NE2) residue. Zn (II) ion forms tetrahedral coordination geometry with Glu 384 (OE2), Glu 411 (OE1), Glu 411 (OE2) residues and sulfur atom in the ligand. This complex has the binding free energy of −16.41 Kcal/mol.
Figure 2

Hydrogen bond interactions (dotted lines) of (a) captopril, (b) cleistanthin A and (c) cleistanthin B with active site residues of tACE

Table 1

Docking score, glide energy, glide emodel, hydrogen bond interactions and binding free energy of Induced fit docked complexes

Hydrogen bond interactions (dotted lines) of (a) captopril, (b) cleistanthin A and (c) cleistanthin B with active site residues of tACE Docking score, glide energy, glide emodel, hydrogen bond interactions and binding free energy of Induced fit docked complexes Seven hydrogen bond interactions were observed in the tACE-I-cleistanthin A complex and trifurcated hydrogen bond donor interactions were observed between ligand O9 atom and the active site residues of Glu 384 (OE2), Glu 384 (OE1) and Glu 411 (OE2). The residue Tyr 523 (OH) has maintained two hydrogen bond interactions with ligand atoms of O5 and O8 with distances 3.14 Å and 2.63 Å, respectively [Table 1 and Figure 2b]. Zn (II) ion has formed a tetrahedral coordination geometry which has three interactions with the active site residues (Glu 384 (OE2), Glu 411 (OE1) and Glu 411 (OE2)) and one interaction with O9 atom in the ligand. The ligand showed the docking score = −5.83, Glide energy = −49.19 Kcal/mol and Glide emodel = −94.06 Kcal/mol at the active site of tACE-I [Table 1]. This complex had binding free energy = -47.82 Kcal/mol. Docked orientation of the cleistanthin B with the active site residues of tACE-I showed that the docking score = −6.68, Glide energy = −60.20Kcal/mol and Glide emodel = -120.77 Kcal/mol. The ligand has eight hydrogen bond interactions with the active site residues. The atom O7 has two hydrogen bond interactions with Asn 227 (ND2) and Asn 285 (ND2). The residues Asn 374 (ND2) and Asp 377 (OD1) interact with O8 atom of the ligand. Moreover, the O9 atom also has two hydrogen bond interactions with His 353 (NE2) and Glu 162 (OE2) residues. O3 and O10 atoms have one interaction with His 383 (NE2) and Asp 377 (OD2), respectively. The Zn (II) ion has tetrahedral coordination geometry with Glu 384 (OE2), Glu 411 (OE1), Glu 411 (OE2) residues and O3 atom of the ligand [Table 1 and Figure 2c]. This complex shows the binding free energy of −49.32 Kcal/mol.

Conformation changes of Cα and side-chain X angles

The Cα conformational changes of Ches A and B complexes were compared with crystal structure of tACE-I and the RMSD values are 0.24 Å and 0.23 Å for Ches A and B compounds, respectively. The side-chain conformational changes were analyzed by measuring chi angles at the active site residues for all the complexes. Glu 162, Gln 281, Thr 282, His 353, Asp 377, His 383, Glu 384, His 387, Glu 411, Phe 512 and Tyr 523 residues showed side-chain conformational changes at the active site of the tACE-I. These results show that all the compounds induced conformational changes at the active site residues [Figure 3 and Table 2].
Figure 3

Side-chain conformational changes in the tACE complexes captopril, cleistanthin A and B bound complexes are colored in green, blue and pink, respectively

Table 2

Conformational changes of the side.chain Chi angles (χ1, χ2, χ3, and χ4) of the docked complexes

Side-chain conformational changes in the tACE complexes captopril, cleistanthin A and B bound complexes are colored in green, blue and pink, respectively Conformational changes of the side.chain Chi angles (χ1, χ2, χ3, and χ4) of the docked complexes

Analysis of physicochemical properties

The natural compounds were taken for physicochemical properties analyzed using Qikprop simulation. The molecular weight of the compounds is less than 500Da and QPlogPo/w (octanol/water partition coefficient) for all the inhibitors is less than five. These compounds satisfy the partition coefficient of octanol/gas (QPlogPoct), water/gas (QPlogPw) and brain/blood (QPlogBB) values as per the rules. The aqueous solubility (QPlogS) and the skin permeability (QPlogKp) were predicted for the compounds. Total solvent accessible surface area (SASA), hydrophobic component of the SASA (FOSA) and hydrophilic component of the SASA (FISA) values abide the ranges specified in the Qikprop. The natural compounds have favorable oral absorption score of 3, when qualitative human oral absorption was predicted. Polar nitrogen and oxygen van der Waals surface area (PSA) of compounds satisfy the range in physicochemical calculation [Tables 3a and b].
Table 3a

Calculation of Lipinski's rule of five, partition coefficient and skin permeability

Table 3b

Surface area calculation and human oral absorption

Calculation of Lipinski's rule of five, partition coefficient and skin permeability Surface area calculation and human oral absorption

CONCLUSION

The natural compounds and captopril were subjected for IFD and Prime MM-GBSA studies to observe docking score, glide energy, glide emodel, hydrogen bond and hydrophobic interactions and binding free energy between these ligands and the active site residues of tACE-I. The values of these for natural compounds were compared with redocked captopril-tACE-I complex. The comparison shows that cleistanthins A and B have better docking score, glide energy, glide emodel and binding free energy compared to captopril. Moreover, hydrogen bond and hydrophobic interactions of the natural compounds have shown favorable interactions with active site residues. The natural compounds have favorable results in physicochemical properties of partition coefficient of QPlogPoct, QplogPw and QplogBB and surface area calculations of SASA, FOSA, FISA, and PSA. According to molecular weight calculation and the human oral absorption properties, both the compounds are below 500 Da with high oral absorption value. Both compounds satisfy all the in silico parameters like docking score, glide energy, glide emodel, binding free energy, ADME/Tox and non-bonded interactions. Hence, cleistanthins A and B could exert potent inhibition of the tACE-I and they have favorable physicochemical properties. The inhibition of ACE by cleistanthins A and B could be revealed by in vivo and in vitro studies and if so, these compounds may be attempted to be used against cardiovascular diseases.
  11 in total

1.  Design of angiotensin converting enzyme inhibitors.

Authors:  D W Cushman; M A Ondetti
Journal:  Nat Med       Date:  1999-10       Impact factor: 53.440

2.  PASS biological activity spectrum predictions in the enhanced open NCI database browser.

Authors:  Vladimir V Poroikov; Dmitrii A Filimonov; Wolf-Dietrich Ihlenfeldt; Tatyana A Gloriozova; Alexey A Lagunin; Yulia V Borodina; Alla V Stepanchikova; Marc C Nicklaus
Journal:  J Chem Inf Comput Sci       Date:  2003 Jan-Feb

3.  UCSF Chimera--a visualization system for exploratory research and analysis.

Authors:  Eric F Pettersen; Thomas D Goddard; Conrad C Huang; Gregory S Couch; Daniel M Greenblatt; Elaine C Meng; Thomas E Ferrin
Journal:  J Comput Chem       Date:  2004-10       Impact factor: 3.376

4.  Cytotoxic arylnaphthalide lignan glycosides from the aerial parts of Phyllanthus taxodiifolius.

Authors:  Patoomratana Tuchinda; Anawat Kumkao; Manat Pohmakotr; Samaisukh Sophasan; Thawatchai Santisuk; Vichai Reutrakul
Journal:  Planta Med       Date:  2006-01       Impact factor: 3.352

5.  Anticancer potential of cleistanthin A isolated from the tropical plant Cleistanthus collinus.

Authors:  C P Pradheepkumar; G Shanmugam
Journal:  Oncol Res       Date:  1999       Impact factor: 5.574

6.  Crystal structure of the human angiotensin-converting enzyme-lisinopril complex.

Authors:  Ramanathan Natesh; Sylva L U Schwager; Edward D Sturrock; K Ravi Acharya
Journal:  Nature       Date:  2003-01-19       Impact factor: 49.962

7.  Diuretic effects of cleistanthin a and cleistanthin B from the leaves of cleistanthus collinus in wistar rats.

Authors:  S Parasuraman; R Raveendran
Journal:  J Young Pharm       Date:  2012-04

8.  Selection of an improved HDAC8 inhibitor through structure-based drug design.

Authors:  Balakrishnan Vijayakumar; Appavoo Umamaheswari; Ayarivan Puratchikody; Devadasan Velmurugan
Journal:  Bioinformation       Date:  2011-09-28

9.  Molecular docking and ex vivo pharmacological evaluation of constituents of the leaves of Cleistanthus collinus (Roxb.) (Euphorbiaceae).

Authors:  Subramani Parasuraman; Ramasamy Raveendran; Balakrishnan Vijayakumar; Devadasan Velmurugan; Subramani Balamurugan
Journal:  Indian J Pharmacol       Date:  2012-03       Impact factor: 1.200

10.  MolProbity: all-atom contacts and structure validation for proteins and nucleic acids.

Authors:  Ian W Davis; Andrew Leaver-Fay; Vincent B Chen; Jeremy N Block; Gary J Kapral; Xueyi Wang; Laura W Murray; W Bryan Arendall; Jack Snoeyink; Jane S Richardson; David C Richardson
Journal:  Nucleic Acids Res       Date:  2007-04-22       Impact factor: 16.971

View more
  7 in total

1.  Optimizing the Sunitinib for cardio-toxicity and thyro-toxicity by scaffold hopping approach.

Authors:  Bhagyashri Chaudhari; Harun Patel; Snehal Thakar; Iqrar Ahmad; Deepali Bansode
Journal:  In Silico Pharmacol       Date:  2022-07-02

Review 2.  Bioactive Natural Products against Systemic Arterial Hypertension: A Past 20-Year Systematic and Prospective Review.

Authors:  Maisa Gomes da Silva; Sara Léa Fortes Barbosa; Diego Santos Silva; Isadora Basílio Meneses Bezerra; Érika Alves Bezerra; Angélica Gomes Coelho; Ilmara Cecília Pinheiro da Silva Morais; Luis Mário Rezende-Júnior; Iolanda Souza do Carmo; José de Sousa Lima-Neto; Simón Gabriel Comerma-Steffensen; Antônia Maria das Graças Lopes Citó; Daniel Dias Rufino Arcanjo
Journal:  Evid Based Complement Alternat Med       Date:  2022-06-20       Impact factor: 2.650

3.  Deep Learning and Structure-Based Virtual Screening for Drug Discovery against NEK7: A Novel Target for the Treatment of Cancer.

Authors:  Mubashir Aziz; Syeda Abida Ejaz; Seema Zargar; Naveed Akhtar; Abdullahi Tunde Aborode; Tanveer A Wani; Gaber El-Saber Batiha; Farhan Siddique; Mohammed Alqarni; Ashraf Akintayo Akintola
Journal:  Molecules       Date:  2022-06-25       Impact factor: 4.927

4.  Optimizing Bedaquiline for cardiotoxicity by structure based virtual screening, DFT analysis and molecular dynamic simulation studies to identify selective MDR-TB inhibitors.

Authors:  Iqrar Ahmad; Harsha Jadhav; Yashodeep Shinde; Vilas Jagtap; Rukaiyya Girase; Harun Patel
Journal:  In Silico Pharmacol       Date:  2021-03-23

5.  Interaction Analysis of T7 RNA Polymerase with Heparin and Its Low Molecular Weight Derivatives - An In Silico Approach.

Authors:  Subhomoi Borkotoky; Chetan Kumar Meena; Ayaluru Murali
Journal:  Bioinform Biol Insights       Date:  2016-08-29

6.  Anti-Inflammatory and Antinociceptive Studies of Hydroalcoholic Extract from the Leaves of Phyllanthus brasiliensis (Aubl.) Poir. and Isolation of 5-O-β-d-Glucopyranosyljusticidin B and Six Other Lignans.

Authors:  Luziane da C Borges; Raimundo Negrão-Neto; Sônia Pamplona; Luanna Fernandes; Mayra Barros; Enéas Fontes-Júnior; Cristiane Maia; Consuelo Y Yoshioka E Silva; Milton Nascimento da Silva
Journal:  Molecules       Date:  2018-04-18       Impact factor: 4.411

7.  Discovery of novel natural products as dual MNK/PIM inhibitors for acute myeloid leukemia treatment: Pharmacophore modeling, molecular docking, and molecular dynamics studies.

Authors:  Linda M Mohamed; Maha M Eltigani; Marwa H Abdallah; Hiba Ghaboosh; Yousef A Bin Jardan; Osman Yusuf; Tilal Elsaman; Magdi A Mohamed; Abdulrahim A Alzain
Journal:  Front Chem       Date:  2022-07-22       Impact factor: 5.545

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.