Plant polyphenols as electron donors for erythrocyte plasma membrane redox system: validation through in silico approach
© Kesharwani et al; licensee Springer. 2012
Received: 17 December 2011
Accepted: 4 April 2012
Published: 4 April 2012
The plasma membrane redox system (PMRS) has extensively been studied in erythrocytes. The PMRS plays an important role in maintaining plasma redox balance and provides a protective mechanism against oxidative stress. Earlier it was proposed that only NADH or NADPH provided reducing equivalents to PMRS; however, now it is acknowledged that some polyphenols also have the ability to donate reducing equivalents to PMRS.
Two different docking simulation softwares, Molegro Virtual Docker and Glide were used to study the interaction of certain plant polyphenols viz. quercetin, epigallocatechin gallate, catechin epicatechin and resveratrol with human erythroyte NADH-cytochrome b5 reductase, which is a component of PMRS and together with the identification of minimum pharmacophoric feature using Pharmagist.
The derived common minimum pharmacophoric features show the presence of minimum bioactive component in all the selected polyphenols. Our results confirm wet lab findings which show that these polyphenols have the ability to interact and donate protons to the Human NADH-cytochrome b5 reductase.
With the help of these comparative results of docking simulation and pharmacophoric features, novel potent molecules can be designed with higher efficacy for activation of the PMRS system.
KeywordsIn Silico QSAR Polyphenols Pharmacophoric Docking simulation Glide Molegro Virtual Docker
The property of erythrocytes to reduce membrane impermeant anions was first reported by Orringer and Roer . Later researches established the existence of trans-membranous NADH dehydrogenases in several other cell types [2, 3]. Evidence is now clear for the presence of a trans-plasma membrane electron transport or plasma membrane redox system (PMRS) in all organisms including bacteria, yeast, animals and plants [4, 5]. It is accepted that PMRS is involved in transferring reducing equivalents from intracellular donors to extracellular acceptors mainly oxidized ascorbate. In this way the PMRS helps the cells to respond to changes in redox potential thereby regulating a variety of physiological functions including cell metabolism, ion channels, growth and death [6, 7].
The PMRS has extensively been studied in erythrocytes basically due to the fact that erythrocytes lack mitochondria and PMRS is the only mechanism for trans-plasma membrane electron transport. Importantly, erythrocytes encounter a variety of oxidants in the blood during their life span. Recent reports show that erythrocyte PMRS plays an important role in providing protection against oxidative stress during human aging [8, 9] and in type 2 diabetes mellitus . The basic structure of PMRS includes three major entities: the intracellular electron donor species, electron carrier proteins and oxidoreductases and extracellular electron acceptors. An important enzyme of PMRS in erythrocyte is the cytochrome b5 reductase (EC 126.96.36.199).
Cytochrome b5 reductase is encoded by the CYB5R3 locus located on chromosome 22q 13-qter (287). The tertiary folding structure of human cyt b5 red, revealed by X-ray crystallography shows similarity with other flavin-linked oxido reductases such as ferredoxin: NADP+reductase and phthalate dioxygenase reductase . Cyt b5 reductase contains two functional lobes: a flavin adenine dinuceotide FAD-binding amino terminal domain (residues 33-147) and NADH-binding carboxyl end domain (residues 148-170). The two domains are linked by a hinge region (residues 148-170), which is critical for the protein conformation and enzymatic activity. Cyt b5 red. catalyses one-electron reduction reactions in association with FAD and cytochrome b5.
Protein structure and preparation
Three-dimensional X-ray crystallized structure of Human NADH-cytochrome b5 reductase (PDB: 1UMK, resolution = 1.75 Å) was downloaded from the Protein Data Bank [18, 19]. The downloaded protein has single chain A with 275 residues together with FAD-binding region and contains bound FAD as a ligand molecule. It also contains 753 water molecules of crystallization. The protein structure was prepared using the protein preparation module of Schrödinger software . The co-crystallized ligands and water molecules were removed. Some residues and side chain atom are missing in crystallized structure of protein that was modeled using Prime 2.2.108 followed by refinement of the protein structure. The final modeled protein was taken as receptor protein and found the most suitable-binding site using sitemap script of Schrödinger. On the basis of priority of site, FAD-binding site has been selected for docking with the FAD, NADPH, beta-NADH, catechin, quercetin, epicatechin, EGCG and resveratrol.
Ligands structure preparation
All the selected ligands were assigned an appropriate bond order using the LigPrep 2.4.107 script and converted to .mae format (Maestro, Schrödinger, Inc.) followed by optimization by means of the OPLS_2005 force field .
Docking study with MVD
It is an automated docking software with fast processing. The preparation of selected polyphenols and protein were done using default parameters, which automatically adds the missing hydrogen atoms. The software has module to create surface over receptor molecule and to give possible binding site for its activity. The active site region of receptor Human NADH-cytochrome b5 reductase protein was chosen for docking, which is already known from literature with the selected polyphenols. It gives ten conformations for each ligand and returns five outputs with MoleDockScore and other thermodynamically calculated values. The MoleDockScore is an anonymous value on which we have to suggest the best docked ligand with its conformation. It also shows hydrogen bond information together with other thermodynamic values, which suggest the formation of stable complex between ligand and receptor molecule .
Docking study with glide
The Protein ligand docking studies were performed using Maestro 9.1.107. Default parameters were selected with Glide Extra Precision (XP Glide), version 4.5.19. After the complete preparation of ligands and protein for docking, receptor-grid files were generated. For running the grid generation module we have scaled van der Waal radii of receptor atoms by 1.00 Å with a partial atomic charge of 0.25. A grid box of size 25 × 25 × 25 Å with coordinates X = 37.955433, Y = -6.749032 and Z = 39.920372 was generated at the centroid of the FAD-binding site predicted by sitemap script of Schrödinger suite 10.0. After the formation of receptor-grid file, flexible ligands with rigid receptor docking were performed. Glide generates conformations internally and passes these through a series of filters. The final energy evaluation is done with GlideScore and a single best pose is generated as the output for a particular ligand .
It is highly efficient method for the derivation of a minimum pharmacophoric features which is spatial arrangement of physico-chemical properties in a set of ligand, essential for the interaction with a specific receptor. It takes three dimensional structure of set of ligands as an input to multiply align flexible ligands in a deterministic manner and to focus on the input ligands. It searches shared large common substructure for the detection of both outer molecules and alternative binding modes and finally derived pharmacophoric features shared by a large number of ligand molecules as an output .
Results and discussion
The binding site cavity detection and docking simulation was performed by using two different docking softwares, namely MVD and Glide simulation module (supplied by Schrödinger suite) for the selected polyphenols together with FAD NADPH and beta-NADH at Human NADH-cytochrome b5 reductase.
Comparative docking simulation result of selected polyphenols, NADPH and beta-NADH with Human NADH-cytochrome b5 reductase together with FAD, ligand from X-ray Crystallized data of protein data bank (1umk.pdb) using MVD
Comparative docking simulation result of selected polyphenols, FAD, NADPH and beta-NADH with Human NADH-cytochrome b5 reductase using Glide docking simulation software
Human NADH-cytochrome b5 reductase protein residues interact with selected polyphenols, NADPH and beta-NADH using MVD (highlighted residues are involved in H-bonding interaction with ligands) and FAD from X-ray Crystallized data of protein data bank
Interacting residues of receptor Human NADH-cytochrome b5 reductase
No. of H-bond interaction
Arg91, Pro92, Tyr93, Val108, Ile109, Lys110, Tyr112, Phe113, Phe120, Gly123, Gly124, Lys125, Ser127, Thr181, Thr184
His77, Arg91, Pro92, Tyr93, Thr94, Val108, Ile109, Try112, His117, Phe120, Gly123, Ser127, Thr181, Thr184, Pro185
Arg91, Pro92, Tyr93, Thr94, Val108, Ile109, Lys110, Phe113, His117, Gly123, Gly124, Lys125, Thr181, Thr184
Arg91, Tyr93, Tyr112, Phe113, His17, Phe120, Gly123, Gly124, Lys125
His77, Pro92, Tyr93, Thr94, Val108, Ile109, Thr184, Pro185, Phe300
His77, Pro92, Tyr93, Thr94, Val108, Ile109, Thr181, Thr184, Cys273, Phe300
Pro92, Tyr93, Thr94, Val108, Ile109, Lys110, Thr181, Thr184, Pro185, Phe300
His77, Pro92, Tyr93, Thr94, Val108, Ile109, Lys110, Thr181, Thr184, Pro185, Phe300
Human NADH-cytochrome b5 reductase protein residues interact with selected polyphenols, NADPH, beta-NADH using Glide docking simulation software (highlighted residues are H-bonding interacting residues) and FAD from X-ray Crystallized data of protein data bank
Interacting residues of receptor Human NADH-cytochrome b5 reductase
No. of H-bond interaction
Arg91, Pro92, Tyr93, Thr94, Val108, Ile109, Lys110, Phe113, Phe120, Gly123, Gly124, Lys125, Met126, Ser127, Gly179, Gly180, Thr181, Thr184
Thr94, Lys110, Try112, His117, Gly179, Gly180, Thr181, Thr184, Gln210, Cys273, Pro275
Tyr93, Lys110, Tyr112, Gly179, Gly180, Thr181, Gln210, Asp239, Phe251, Val252, Pro275
His117, Asn209, Gln210, Asp239, Phe251, Met278
Lys110, Tyr112, Gly180, Ala208, Asn209, Gln210, Phe251, Val252, Pro275
Lys110, Tyr112, Ala208, Asn209, Asp239, Phe251
Lys110, Tyr112, Gly180, Ala208, Gln210, Asp239, Phe251, Val252, Pro275
Lys110, Tyr112, Ala208, Gln210, Phe251, Val252
The binding affinity of selected polyphenols, NADPH, beta-NADH and FAD at the active site of Human NADH-cytochrome b5 reductase using MVD and Glide in decreasing order is: FAD>NADPH>beta-NADH>EGCG>quercetin>catechin>epicatechin>resveratrol and FAD>NADPH>beta-NADH>FAD>NADPH>beta-NADH>EGCG>catechin>quercetin>epicatechin>resveratrol respectively.
Figure 2 of Glide docking simulation results shows low energy bound conformation of selected polyphenols, NADPH, beta-NADH, and together with FAD (ligand from crystal structure of PDB:1UMK) at the active site of Human NADH-cytochrome b5 reductase. The low energy bound conformation of selected ligands shows hydrogen bonding and electrostatic interactions as shown in Figures 3a, b, 4a, b, 5a, b, 6a, b, 7a, b, 8a, b, 9a, b, and 10a, b for FAD, NADPH, beta-NADH, EGCG, catechin, quarcetin, epicatechin, and resveratrol, respectively
Given the importance of human PMRS system during human aging and life span determination [8, 9, 22], our findings provide important insight into the docking and binding characteristics of the selected polyphenols on the Human NADH-cytochrome b5 reductase. With the help of these comparative results for docking simulation and pharmacophoric features, molecules having higher electron donor/acceptor efficacy for activation of the PMRS system can be designed. It is significant that activation of PMRS is being viewed as a putative mechanism for designing anti-aging agents . Our in silico study may also lead to important information regarding the use of polyphenols as immunomodulating agents.
Plasma membrane redox system.
One of the authors (RKK) gratefully acknowledges the Director, IIIT, Allahabad for providing necessary facilities for carrying out the computational work.
- Orringer EP, Roer ME: An ascorbate mediated transmembrane reducing system of the human erythrocytes. J Clin Invest 1979, 63: 53–58. doi:10.1172/JCI109277 10.1172/JCI109277View Article
- Greibing C, Crane FL, Low H, Hall K: A transmembranous NADH dehydrohgenase in human erythrocyte membranes. J Bioenerg Biomembr 1984, 16: 517–533. doi:10.1007/BF00743243 10.1007/BF00743243View Article
- Kilberg MS, Christensen HN: Electron transferring enzymes in the plasma membrane of the Ehrlich ascites tumor cell. Biochemistry 1979, 18: 1525–1530. doi:10.1021/bi00575a021 10.1021/bi00575a021View Article
- Crane FL, Sun IL, Clark MG, Grebing C, Low H: Transplasma membrane redox systems in growth and development. Biochim Biophys Acta 1985, 811: 233–264. doi:10.1016/0304–4173(85)90013–8View Article
- Rubinstein B, Luster DG: Plasma membrane redox activity: components and role in plant processes. Ann Rev Plant Physiol Plant Mol Biol 1993, 44: 131–155. doi:10.1146/annurev.pp. 44.060193.001023 10.1146/annurev.pp.44.060193.001023View Article
- Herst PM, Berridge MV: Plasma membrane electron transport: a new target for cancer drug development. Curr Mol Med 2006, 6: 895–904. doi: http://dx.doi.org/10.2174/156652406779010777 10.2174/156652406779010777View Article
- Ly JD, Lawen A: Transplasma membrane electron transport: enzymes involved and biological function. Redox Rep 2003, 8: 3–21. doi:10.1179/135100003125001198 10.1179/135100003125001198View Article
- Rizvi SI, Jha R, Maurya PK: Erythrocyte plasma membrane redox system in human aging. Rejuvenation Res 2006, 9: 470–474. doi:10.1089/rej.2006.9.470 10.1089/rej.2006.9.470View Article
- Rizvi SI, Pandey KB, Jha R, Maurya PK: Ascorbate recycling by erythrocytes during aging in humans. Rejuvenation Res 2009,12(1):3–6. doi:10.1089/rej.2008.0787 10.1089/rej.2008.0787View Article
- Rizvi SI, Srivastava N: Erythrocyte plasma membrane redox system in first degree relatives of type 2 diabetic patients. Int J Diab Mellitus 2010, 2: 119–121. doi:10.1016/j.ijdm.2010.05.005 10.1016/j.ijdm.2010.05.005View Article
- Correll CC, Batie CJ, Ballou DP, Ludwig ML: Pthalate dioxygenase reductase: a modular structure for electron transfer from pytidine nucleotides to [2Fe-2S]. Science 1992, 258: 1604–1610. doi:10.1126/science.1280857 10.1126/science.1280857View Article
- Rizvi SI, Pandey KB: Activation of the erythrocyte plasma membrane redox system by resveratrol: a possible mechanism for antioxidant properties. Pharmacol Rep 2011,62(4):726–732.View Article
- Rizvi SI, Jha R, Pandey KB: Activation of erythrocyte plasma membrane redox system provides a useful method to evaluate antioxidant potential of plant polyphenols Methods Mol Biol. 2010, 594: 341–348. doi:10.1007/978–1-60761–411–1_24
- Rizvi SI, Jha R: Strategies for the discovery of anti-aging compounds. Expert Opin Drug Dis 2011,8(1):89–102. doi: http://dx.doi.org/10.1517/17460441.2011.533653 View Article
- Thomsen R, Christensen MH: MolDock: a new technique for high-accuracy molecular docking. J Med Chem 2006,49(11):3315–3321. doi:10.1021/jm051197e 10.1021/jm051197eView Article
- Friesner RA, Murphy RB, Repasky MP, Frye LL, Greenwood JR, Halgren TA, Sanschagrin PC, Mainz DT: Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes. J Med Chem 2006,149(21):6177–6196. doi:10.1021/jm051256oView Article
- Schneidman-Duhovny D, Dror O, Inbar Y, Nussinov R, Wolfson HJ: Deterministic pharmacophore detection via multiple flexible alignment of drug-like molecules. J Comput Biol 2008,15(7):737–754. 10.1089/cmb.2007.0130View Article
- Bando S, Takano T, Yubisui T, Shirabe K, Takeshita M, Nakagawa A: Structure of human erythrocyte NADH-cytochrome 5 reductase. Acta Cryst 2004,60(11):1929–1934. doi:10.1107/S090744490402 0645
- Dutta S, Burkhardt K, Swaminathan GJ, Kosada T, Henrick K, Nakamura H, Berman HM: Data Deposition and Annotation at the Worldwide Protein Data Bank. Mol Biotechnol 2009,42(1):1–13. doi:10.1007/s12033–008–9127–7 10.1007/s12033-008-9127-7View Article
- Jacobson MP, Pincus DL, Rapp CS, Day TJ, Honig B, Shaw DE, Friesner RA: A hierarchical approach to all-atom protein loop prediction. Proteins 2004,55(2):351–367. doi:10.1002/prot.10613 10.1002/prot.10613View Article
- Albers HMHG, Hendrickx LJD, van Tol RJP, Hausmann J, Perrakis A, Ovaa H: Structure-based design of novel boronic acid-based inhibitors of autotoxin. J Med Chem 2011,54(13):4619–4626. doi:10.1021/jm200310q 10.1021/jm200310qView Article
- Rizvi SI, Kumar D, Chakravarti S, Singh P: Erythrocyte plasma membrane redox system may determine maximum life span. Medical Hyp 2011,76(4):547–549. doi:10.1016/j.mehy.2010.12.014 10.1016/j.mehy.2010.12.014View Article
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