Literature DB >> 32870435

Potential of Plant Proteins Digested In Silico by Gastrointestinal Enzymes as Nutritional Supplement for COVID-19 Patients.

Zhen Luo1, Keying Su1,2, Xuewu Zhang3.   

Abstract

Currently, no specific drug and vaccine are available for the new coronavirus SARS-CoV-2, and nutritional supplementation should be helpful. This study tried to provide reference for protein supplementation. Specifically, in silico method was employed to simulate protein degradation by gastrointestinal enzymes and to produce a large number of active peptides, then, the binding ability of these peptides to SARS-CoV-2 spike protein receptor-binding domain (RBD) was evaluated. The results showed that wheat-derived alpha/beta-gliadin, oat-derived avenin, and ribulose bisphosphate carboxylase small chain of different origin could be good protein source in generating potent binders to SARS-CoV-2 spike RBD. In addition, some high-affinity oligopeptides (such as PISCR, VQVVN, PQQQF, etc.) were identified as potential binders of SARS-CoV-2 spike RBD. In summary, a number of plant proteins could be helpful for COVID-19 patients when supplemented with these proteins, the identified oligopeptides could be used as lead compound to design potential entry inhibitors against SARS-CoV-2.

Entities:  

Keywords:  COVID-19; In silico evaluation; Oligopeptides; Protein supplementation; Spike

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Substances:

Year:  2020        PMID: 32870435      PMCID: PMC7459261          DOI: 10.1007/s11130-020-00850-y

Source DB:  PubMed          Journal:  Plant Foods Hum Nutr        ISSN: 0921-9668            Impact factor:   3.921


Introduction

Since the end of December 2019, a new coronavirus broke out in Wuhan of China, and then spread all over China and many countries in the world. This new virus, termed as SARS-CoV-2 by the World Health Organization (WHO), was found to cause disease named as COVID-19, including severe pneumonia and other symptoms like fever, dyspnea and asthenia [1]. According to the record of August 15, 2020, 89,695 and 21,179,695 persons were infected, and 4708 and 761,264 persons died, in China and other 200+ countries in the world, respectively. The genome analysis indicated that SARS-CoV-2 has as high as 79.5% of sequence identity with SARS-CoV, which breakout in Beijing 17 years ago [2]. It is well known that SARS-CoV infects human host cells by the interaction between its spike glycoprotein and the receptor ACE2 (angiotensin converting enzyme 2) on human cells [3]. Similar to SARS-CoV, SARS-CoV-2 was considered to use the same receptor ACE2 as virus entry into human [4]. To date, no specific drug and vaccine are available for this virus. In this situation, on the basis of drug treatment, it should be helpful to improve immunity through nutrition strengthening at the same time. Protein is the main “building material” of all parts of the body. Immunoglobulin, cytokines and other components needed for disease resistance need to be synthesized with protein. If there is a lack of protein, the disease resistance will be reduced. So, protein supplementation is usually a good option. It is noted that the protein, after ingestion, first denatured under the action of hydrochloric acid secreted by the gastric wall, the three-dimensional structure was destroyed, and the peptide bond was exposed. Then, under the action of pepsin, intestinal trypsin and chymotrypsin, the protein macromolecules were degraded into amino acids, oligopeptides or polypeptides [5, 6]. The purpose of this paper is to provide reference for protein supplementation. Briefly, in silico method was employed to simulate protein degradation by gastrointestinal enzymes and to produce a large number of active peptides, then, the binding ability of these peptides to SARS-CoV-2 spike protein receptor-binding domain (RBD) was evaluated. It is expected that proteins which release peptides with high binding ability can bring potential inhibition on SARS-CoV-2 while being used as supplements. Figure 1 displayed the strategy for this study.
Fig. 1

Strategy for in silico evaluation

Strategy for in silico evaluation

Materials and Methods

Construction of 3D Model for SARS-CoV-2 Spike RBD

SARS-CoV-2 was considered to use the same receptor ACE2 as SARS coronavirus, i.e., the coronavirus enters host by the binding of spike protein to ACE2 and infection happens. The amino acids sequence of SARS spike RBD was retrieved from PDB database (https://www.rcsb.org/structure/2AJF), and the sequence of SARS-CoV-2 spike was retrieved from NCBI database (https://www.ncbi.nlm.nih.gov/protein/QHO60594.1). The retrieved two sequences with 73.9% of identity were aligned (Fig. 2) to obtain the sequence of SARS-CoV-2 spike RBD. Then, the RBD was subjected to homology modeling using SWISS-MODEL (https://swissmodel.expasy.org), and the 3D model for SARS-CoV-2 spike RBD was constructed.
Fig. 2

Alignment between the receptor-binding domains of SARS and SARS-CoV-2 spike proteins

Alignment between the receptor-binding domains of SARS and SARS-CoV-2 spike proteins

In Silico Hydrolysis of Plant Proteins by Gastrointestinal Enzymes

Twenty-eight proteins (Table 1) sequences from Arthrospira platensis, corn, sorghum, soybean, wheat, barley and oat (which are most widely used cereal grains or microalgae in functional foods) were obtained from NCBI database, available at https://www.ncbi.nlm.nih.gov/protein/. Subsequently, these sequences were in silico digested by gastrointestinal enzymes (chymotrypsin, trypsin, pepsin) using the BIOPEP-UWM database [7]. The theoretical degree of hydrolysis (TDH) (proteins with larger TDH produce more oligopeptides) was calculated using the following equation: TDH = d/D*100%, where d is number of hydrolyzed peptide bonds and D is total number of peptide bonds in a protein chain.
Table 1

Sequences and frequencies of high-affinity oligopeptides from plant proteins digested in silico by gastrointestinal enzymes

Protein names [amino acids length]Accession numberSequences of high-affinity oligopeptides (length < 6 and docking score < −100) binding to receptor-binding domain of SARS-CoV-2 spike RBD [Binding score]Frequency of high-affinity oligopeptide in a protein (F)
Arthrospira platensis
Phycocyanin alpha chain [162]ABD64608.1TTQM[−103.3],DISY[−123.9],SPSW[−131.2],IEAL[−100.4]0.0247
Phycocyanin beta chain [172]ABD64607.1ITSN[−108.4]0.0058
Phycobiliprotein lyase [174]WP_006618130.1DIVEF[−125],APDH[−109.5],PDQQR[−136.8],GSAVL[−107.8],TSIVN[−138.4],CSEIR[−115]0.0345
Carotenoid biosynthesis protein [306]WP_014274510.1SSEL[−100.4],GSSW[−119.1],DPAM[−100.7], SQAPF[−131.2],PIVL[−119.2]0.0163
Photosynthesis system II assembly factor Ycf48r [334]WP_006616832.1IAVAL[−121.1],PDVSY[−135],DIDF[−110],IVGSN[−127.3],TSVSF[−133.4],PGAPN[−124.6], SAAEM[−100.3],VGAIY[−135.4],GGEIR[−112.2],DPEEW[−130.3],SDPIK[−103.5],STSW[−131.9],TSASS[−103.8]0.0389
Corn (Zea mays)
Ribulose bisphosphate carboxylase large chain[476]P00874.2TPEY[−122.1],VTPQL[−124.5],TTVW[−138],VAY[−102.9], PPAY[−132.8],QGPPH[−125.1],GCTIK[−118.6],TGGF[−108.5],AVIDR[−125.4], SGGDH [−101.4],EGER[−107],EITL[−107.5],TQDW[−122.6],TEIF[−111.3],EIIK[−100]0.0315
Ribulose bisphosphate carboxylase small chain[170]P05348.1APTVM[−120.7],STASL[−109.6],PVAR[−135.6],QVW[−133],QVDY[−135.8],IPCL[−108.7],QEAIK[−106.7],PDAF[−131.1],VIGF[−111.7],IAY[−106.1],PPGSD[−127.8]0.0647
Sorghum (Sorghum vulgare)
Ribulose bisphosphate carboxylase large chain[476]A1E9T2.1ASVGF[−121.9],TPEY[−122.1],VTPQL[−124.5],TTVW[−138],VAY[−102.9],PPAY[−132.8],QGPPH[−125.1],GCTIK[−118.6],TGGF [−108.5],AVIDR[−125.4],SGGDH [−101.4],EGER[−107],EITL[−107.5],TQDW[−122.6],TEIF [−111.3],EIIK[−100]0.0336
Ribulose biophosphate carboxylase small subunit[169]BAJ40065.1APTVM[−120.7],STATL[−104.9],PVAR[−135.6],STTSF[−126.6],QVW[−133],QVDY[−135.8],VPCL[−100.1],IAY[−106.1],PAGSE[−117]0.0533
Wheat (Triticum aestivum)
Alpha/beta-gliadin[286]P02863.2PVPQL[−133],QPQN[−114.9],P SQL[−102],QPF[−113.9],PQPQL[−133.1],PQQPY[−146.1],QQIL[−111.9],IPCM[−110.4],DVVL[−103.9],QQSTY[−134.8],CCQH[−119.8],VVH[−106.8],AIIL[−117.5],QQQK[−105.4],QQQQ[−120.3],QQPL[−107.5],QQY[−111.9],GQGSF[−129.1],PSQQN [−134.8],EEIR[−111.1],IPPY [−133.1],GIF[−100.3]0.0769
Glutenin, high molecular weight subunit[660]P08488.1QCER [−111.1],QESSL[−115.9],EACR [−103.4],CCQQL[−131.8],DVSAK [−101.3],GGSF[−117.1],QQGIF[−145.4],QGSY [−123],PTSL[−126.2],PTSL[−126.2],TGQR[−111.7],QQGY[−124.8],PASL[−119],PTSL[−126.2],PTSL[−126.2],PTSL[−126.2],PASL[−119],PTSL[−126.2],DSPY[−118.2],PTVCR[−143]0.0303
Glutenin, low molecular weight subunit[307]P10386.1CIPGL[−112.1],QQQPL[−120.1],PQQPL[−126],SQQQP[−115.7],PSIL[−118.7],EAIR[−110],AIIY[−127.1],SIIL[−108.3],AQGTF[−124.7],QIAQL[−121.3],TSIAL[−112.4],CSVN [−107.8]0.0391
Ribulose bisphosphate carboxylase large chain[477]P11383.2AGVGF[−116],TPEY[−122.1],TTVW[−138],VAY[−102.9],PPTY[−137.2],QGPPH [−125.1],GCTIK[−118.6],TGGF[−108.5],AVIDR[−125.4],SGGDH[−101.4],EGER[−107],TQDW[−122.6],TEIF[−111.3],EIIR[−109]0.0294
Ribulose bisphosphate carboxylase small chain[175]P26667.1APAVM[−116],STAGL[−100.7],PISCR [−154],SSVSN [−117.7],QVW[−133],QVDY[−135.8],VPCL[−100.1],SSPGY[−126.3],PDAY[−131],VIGF[−111.7]0.0571
Soybean (Glycine hispida)
Basic 7S globulin[427]P13917PVQN [−118.6],QVPVL[−116.1],CEQQY[−132.2],QAPF[−122.3],PGCH[−119.4],APISL [−119.4],TTCL[−104.1],PTSK[−124],GAIIF[−132.4],QDIF[−128.7],TITL[−111.6],QGEY[−115.3],QQSVY[−135.9],TQVF[−131.5],AQQL[−104.4],QAQVK [−129.9],SVAPF[−125.7],PSVDL [−125.2],AEITL[−110.6],STSSL[−110.4]0.0468
Glycinin G5[516]P04347SSACF[−132.9],ECQL[−105.9],EPDH[−109.9],IETW[−132.5],GAIGF[−118.1],SQQQL [−123.5],QDSH[−106.9],EGDVL [−100.1],VIPL[−102.7],GVPY[−118.6],PDIEH [−125.8],PETM[−109.6],QGQH[−114.7],AQSF[−116.2],QEQED[−110.7],TPSY[−119.7],PPQR[−124.9],GCQTR[−121.1],ISTL[−102.7],SAQY[−115.6],SPDW[−121.1],SVTM[−108.9],CQGN[−102.7],VVPQN [−129.4], AVSSY [−129.4]0.0484
Beta-conglycinin beta subunit[439]P25974GTVF[−119.9],SPQL[−103.7],IVQF[−121.1],ADADF[−111.7],AIPVN[−117.4],ETSF[−121.5],EQIR[−109.3],SSSR[−105.4],AIVIL[−137.7],EQQQK[−120.8],EVQR[−106],QIER[−114.7],QVQEL[−130.3],PSIL[−118.7]0.0319
Beta-conglycinin alpha subunit[605]P0DO16GIAY [−109.4],QSCN[−107.2],QACH[−111.8],GEIPR[−111],PIPF[−137],PQPR[−124.2],QEEEH [−106.5],EEQEW[−137.7],SPQL[−103.7],ADADY[−106.1],GTAIL[−108.8],AIPVN [−117.4],EASY[−116.5],EQIR[−109.3],SSSR[−105.4],DPIY[−121.4],SIVDM[−114.3],AIVIL[−137.7],AIGIN[−110.1]0.0314
Beta-conglycinin alpha’ subunit[621]P11827GVVF[−116.4],GIAY[−109.4],QACH[−111.8],QEEEH[−106.5],QDER[−116.3],ADADY[−106.1, IVIL[−110.4], AIPVN[−117.4],EASY[−116.5],SSSR[−105.4],DPIY[−121.4],SVVDM[−124.1],AIVVL[−126.7],EQQQR[−142.7],PVVVN [−129.6],ATSDL[−102.1],PGSAK[−116.4]0.0274
Barley (Hordeum vulgare)
B hordein precursor[290]Q40026PQQPF[−147.4],PQQPF[−147.4],PQQP[−112.1],PQQPF[−147.4],QQPIL[−125.5],PQGQL[−126.8],QIPY[−128.9],PSIL[−118.7],EAIR[−110],AIVY[−116.2],QIAQL[−121.3],PPDF[−131.5]0.0414
D hordein precursor[707]Q40054TTAER[−114.5],QCER[−111.1],QESSL[−115.9],EACR[−103.4],VGQL[−100.8],PVAL[−119.7],SQVVR[−129.1],GGSF[−117.1],QQGGW[−149.7],GTSVK[−102.2],QQSW[−144.4],PGSTF[−132.6],PSATF[−141],QPGQW[−146.5],PSATF[−141],QQGSY[−136.7],GQQL[−103.3],TSPH[−113.1],TQQK[−103.9],PGQGY[−138.8],QPF[−113.9],GQQSN[−112.7],GSPY[−115.6],AQQL[−104.4]
Gamma-hordein-3[289]P80198.1PSGL[−105.7],PQQL[−129],PQQQF[−152.2],PQQM[−119.5],PQQM[−119.5],PQQK[−115.2],QQPL[−107.5],TQQPY[−141.1],QQCTL[−120],ISQQN [−126.6],EQSR[−114.3],AIVM[−104],VQSQL[−119],PIQL[−115.9],VVGSL[−111.3],VIQTL [−125.9],VPPY[−138.5],CSPF[−120.1]0.0623
Ribulose bisphosphate carboxylase large chain[479]P05698.2AGVGF[−116],QAGVK[−110.5],TPEY[−122.1],TTVW [−138],VAY[−102.9],PPTY[−137.2],QGPPH[−125.1],GCTIK[−118.6],TGGF[−108.5],AVIDR[−125.4],SGGDH[−101.4],EGER[−107],TQDW [−122.6],TEIF[−111.3],EIIR[−109]0.0313
Ribulose bisphosphate carboxylase small chain[174]Q40004APTVM[−120.7],STAGL [−100.7],PVSR[−128.8],QVW[−133],QVDY[−135.8],VPCL[−100.1],ASPGY[−122.1],IIGF[−122.5]0.0460
Oat (Avena sativa)
Avenin[214]P27919.1AQY[−117.3],CQQH[−121],DSCR[−101],VAER[−106.7],CTTM[−102.8],PITW[−143.5],ECCQL[−110.9],PSECR[−135],CDAIW[−130],SIQR[−114.3],SAISP[−106.1],IAGK[−101.7],PVDVL[−115.2],[QEAR[−105.2],TQTSF[−137.2]0.0701
11S globulin precursor[551]Q38779ATTSF[−122.3],QSSR[−124.6],QQQF[−130],QPF[−113.9],DQSQF [−142.2],QVGK[−108.3],STPY[−116.1],DQSF[−106],ADTY[−115],IVQM[−105.1],IQGH[−123.4],VQVVN[−152.4],GQTVF[−146.1],IVPQH[−139.1],EGCQY[−137],IAGK[−101.7],PIDVL[−116.4],QEAR[−105.2],GEEF[−100.4],TQTGF[−130.5]0.0363
Ribulose bisphosphate carboxylase large chain[477]P48684.1ASVGF[−121.9],QAGVK[−110.5],TPEY[−122.1],TTVW[−138],VAY[−102.9],PPAY[−132.8],QGPPH[−125.1],GCTIK[−118.6],ITGGF[−125.6],AVIDR[−125.4],SGGDH[−101.4],EGER[−107],TQDW[−122.6],TEIF[−111.3],EIIR[−109]0.0314
Ribulose bisphosphate carboxylase small subunit[165]Q9ZWG4STAGL[−100.7],PVGR[−121],QVW[−133],QIDF[−128.3],VPCL[−100.1],PDAY[−131],IIGF[−122.5],PPGCE[−127.7]0.0485
Sequences and frequencies of high-affinity oligopeptides from plant proteins digested in silico by gastrointestinal enzymes

Molecular Docking and Evaluation of Nutritional Supplement Potential

The peptides generated by in silico hydrolysis of 28 proteins were docked to SARS-CoV-2 spike RBD using HPEPDOCK [8]. The potential of various plant proteins to serve as nutritional supplement of COVID-19 patients was quantified based on the frequency of occurrence of oligopeptides (2 < =peptide length < =5) with high binding affinity (docking score < −100, the binding threshold (−100) just depends on the number of high-binding scores) relative to the length of the protein chain: F=N/L, where F is the occurrence frequency, N is the number of high-affinity oligopeptides within the protein chain, and L is the length of the protein chain (i.e., number of amino acid residues). The binding residues of the selected high-affinity oligopeptides to SARS-CoV-2 spike RBD were determined by LigPlot [9].

Results and Discussion

In Silico Hydrolysis by Gastrointestinal Enzymes

After in silico proteolysis (chymotrypsin, trypsin and pepsin) of 28 proteins from various sources by BIOPEP tools, bioactive peptides were obtained (Fig. 3). For Arthrospira platensis, the theoretical degree of hydrolysis (TDH) was within the range of 30.9 to 39.3%, and 25–65 oligopeptides (with 2–5 amino acids) were generated from five selected proteins. For corn, ribulose bisphosphate carboxylase large and small chains released 100 and 40 oligopeptides with 36.6 and 39.3% of TDH, respectively. Similarly, for sorghum, 100 and 37 oligopeptides were obtained from ribulose bisphosphate carboxylase large and small chains with 36.6 and 37.8% of TDH, respectively. For wheat, the TDH values were varied from 16.5 to 36.1%, and 31–98 oligopeptides were generated from five selected proteins. Likewise, for soybean, the TDH values were within the scope of 34.6 to 40.7%, and 92–124 oligopeptides were generated from five selected proteins. For barley, the TDH values were within the scope of 18.6 to 36.1%, and 33–95 oligopeptides were released from five selected proteins. Finally, for oat, the TDH values were around 35%, and 34–109 oligopeptides were yielded from four selected proteins. In general, the majority of the released peptides were oligopeptides with length of 2–5 amino acids through in silico digest by gastrointestinal enzymes.
Fig. 3

In silico hydrolysis of Arthrospira platensis (a), corn (b), Sorghum (c), wheat (d), soybean (e), barley (f) and oak (g) proteins

In silico hydrolysis of Arthrospira platensis (a), corn (b), Sorghum (c), wheat (d), soybean (e), barley (f) and oak (g) proteins

Potential Binding Ability of the Released Peptides to SARS-CoV-2 Spike RBD

In order to evaluate the binding ability of plant proteins in silico digested by gastrointestinal enzymes to SARS-CoV-2 spike RBD, molecular docking was performed and docking scores were obtained. The potential of plant proteins as nutritional supplement was assessed by the frequency (F) of high-affinity (binding score < −100) oligopeptide (length 2–5 amino acids) in a protein. Table 1 showed the F values of high-affinity oligopeptides. The results indicated that the last two proteins with smaller F values were Phycocyanin beta chain (0.0058) and carotenoid biosynthesis protein (0.0163) from Arthrospira platensis; among the better binders were the four proteins ribulose bisphosphate carboxylase small chain (0.0647) from corn, gamma-hordein-3(0.0623) from barley, ribulose bisphosphate carboxylase small chain (0.0571) from wheat and ribulose biophosphate carboxylase small subunit (0.0533) from sorghum; and the top two proteins with larger F values were alpha/beta-gliadin (0.0769) from wheat and Avenin (0.0701) from oat. The top high-affinity (binding score < −140) oligopeptides binding to SARS-CoV-2 spike RBD were presented in Table 2. There were seven peptides from barley, four peptides from oat and two peptides from wheat. The most potent binders were PISCR from wheat, VQVVN from oat and PQQQF from barley with binding scores −154, −152.4 and − 152.2, respectively. These peptides can properly bind to hydrophobic groove of SARS-CoV-2 spike RBD (Fig. 4a, c, e). For PISCR, three hydrogen bonds were formed in the following amino acids pairs (peptide vs spike RBD): Ser 3 vs Phe 7, Ser 3 vs Ala 9, and Cys 4 vs Thr 10 (Fig. 4b). For VQVVN, the formed seven hydrogen bonds included: Gln 2 vs Ala 28, Val 3 vs Cys 26, Val 4 vs Cys 26, Val 3 vs Phe 57, Asn 5 vs Phe 57, Val 4 vs Asn 25, and Asn 5 vs Asn 25 (Fig. 4d). For PQQQF, there also existed three hydrogen bonds: Gln 2 vs Asn 53, Gln 3 vs Ala 28, and Gln 4 vs Cys 56 (Fig. 4f).
Table 2

Top high-affinity oligopeptides binding to SARS-CoV-2 spike RBD

PeptidesSourceProteinDocking score
PQQQFBarleyD hordein−152.2
QQGGWBarleyD hordein−149.7
PQQPFBarleyB hordein−147.4
QPGQWBarleyD hordein−146.5
QQSWBarleyD hordein−144.4
TQQPYBarleyD hordein−141.1
PSATFBarleyD hordein−141
VQVVNOat11S globulin−152.4
GQTVFOat11S globulin−146.1
DQSQFOat11S globulin−142.2
PITWOatAvenin−143.5
PISCRWheatRibulose bisphosphate carboxylase small chain−154
PQQPYWheatAlpha/beta-gliadin−146.1
EQQQRSoybeanBeta-conglycinin alpha’ subunit−142.7
Fig. 4

Binding of SARS-CoV-2 Spike receptor-binding domain to the identified peptides and the interacting residues. PISCR (a, b), V QVVN (c, d), PQQQF (e, f)

Top high-affinity oligopeptides binding to SARS-CoV-2 spike RBD Binding of SARS-CoV-2 Spike receptor-binding domain to the identified peptides and the interacting residues. PISCR (a, b), V QVVN (c, d), PQQQF (e, f) In order to exert in vivo biological activities after oral administration, food derived bioactive peptides have to be absorbed into blood circulation and delivered to targets. It is widely accepted that di- and tri-peptides can be easily absorbed in the intestine by specific peptide transport systems via PepT1 or PepT2 [10], while tetra- and penta-peptides can also be transported through the paracellular tight-junction pathway [11]. Therefore, in this study, after in silico proteolysis by gastrointestinal enzymes, only oligopeptides with peptide length between two and five amino acids were investigated for their binding ability to SARS-CoV-2 spike RBD. The results demonstrated that wheat-derived alpha/beta-gliadin and oat-derived avenin generated highest frequency of high-affinity oligopeptides occurrence, with F values of 0.0769 and 0.0701, respectively; while ribulose bisphosphate carboxylase small chain possessed higher F values, whatever its source, with F values 0.0647 (corn), 0.0533 (sorghum), 0.0571 (wheat), 0.0460 (barley), 0.0485 (oat). It seems that barley and oat become the protein sources generating more potent binders, in which 7 and 4 high-affinity (binding score < −140) oligopeptides were generated respectively. However, it is not sure that barley and oat varieties are superior to other varieties, due to the fact that only limited number of proteins in each variety were evaluated. Anyway, the present data suggests that wheat-derived alpha/beta-gliadin, oat-derived avenin, and ribulose bisphosphate carboxylase small chain of different origin could be good protein source in generating potent binders to SARS-CoV-2 spike RBD. Thus, it could be helpful for COVID-19 patients when supplemented with these proteins. Previous studies have shown that peptides can act as modulators in viral diseases. For example, the peptides with the positive WWIHS (Wimley-White interfacial hydrophobicity scale) values have been shown to inhibit various viruses, such as SARS-CoV and MERSCoV by interfering with fusion of host cellular and viral glycoprotein membranes [12, 13]. Struck et al. [14] demonstrated that the hexapeptide YKYRYL was specific against SARS-CoV by attaching to its ACE2 receptor. Zhao et al. [15] found that a peptide, NGAICWGPCPTAFRQIGNCGHFKVRCCKIR, exhibited potent antiviral effects against SARS-CoV and MERS-CoV. In this study, a number of high-affinity oligopeptides were identified as potential binders of SARS-CoV-2 spike RBD (Table 2), including PISCR, VQVVN, PQQQF, etc. These peptides should possess good safety due to their source of diet, and can be used as lead compound to design potential entry inhibitors against SARS-CoV-2.
  14 in total

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Authors:  Roman A Laskowski; Mark B Swindells
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2.  Structural Design of Oligopeptides for Intestinal Transport Model.

Authors:  Seong-Min Hong; Mitsuru Tanaka; Riho Koyanagi; Weilin Shen; Toshiro Matsui
Journal:  J Agric Food Chem       Date:  2016-03-04       Impact factor: 5.279

3.  Production and In Vitro Gastrointestinal Digestion of Antioxidant Peptides from Enzymatic Hydrolysates of Sweet Potato Protein Affected by Pretreatment.

Authors:  Miao Zhang; Tung-Shi Huang; Tai-Hua Mu
Journal:  Plant Foods Hum Nutr       Date:  2019-06       Impact factor: 3.921

4.  Antimicrobial peptides (AMP) with antiviral activity against fish nodavirus.

Authors:  Ta-Jui Chia; Yu-Chi Wu; Jyh-Yih Chen; Shau-Chi Chi
Journal:  Fish Shellfish Immunol       Date:  2009-12-08       Impact factor: 4.581

Review 5.  Bioavailability of angiotensin I converting enzyme inhibitory peptides.

Authors:  Vanessa Vermeirssen; John Van Camp; Willy Verstraete
Journal:  Br J Nutr       Date:  2004-09       Impact factor: 3.718

6.  Inhibition of severe acute respiratory syndrome-associated coronavirus (SARS-CoV) infectivity by peptides analogous to the viral spike protein.

Authors:  Bruno Sainz; Eric C Mossel; William R Gallaher; William C Wimley; C J Peters; Russell B Wilson; Robert F Garry
Journal:  Virus Res       Date:  2006-04-17       Impact factor: 3.303

7.  BIOPEP-UWM Database of Bioactive Peptides: Current Opportunities.

Authors:  Piotr Minkiewicz; Anna Iwaniak; Małgorzata Darewicz
Journal:  Int J Mol Sci       Date:  2019-11-27       Impact factor: 5.923

8.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

9.  The secret life of ACE2 as a receptor for the SARS virus.

Authors:  Dimiter S Dimitrov
Journal:  Cell       Date:  2003-12-12       Impact factor: 41.582

10.  Global outbreak of severe acute respiratory syndrome (SARS).

Authors:  Fiona J Cooke; Daniel S Shapiro
Journal:  Int J Infect Dis       Date:  2003-06       Impact factor: 3.623

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2.  A Multifunctional Peptide From Bacillus Fermented Soybean for Effective Inhibition of SARS-CoV-2 S1 Receptor Binding Domain and Modulation of Toll Like Receptor 4: A Molecular Docking Study.

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Journal:  Front Mol Biosci       Date:  2021-03-31

Review 3.  Predicting global diet-disease relationships at the atomic level: a COVID-19 case study.

Authors:  Lennie Ky Cheung; Rickey Y Yada
Journal:  Curr Opin Food Sci       Date:  2022-01-03       Impact factor: 9.800

Review 4.  Peptide candidates for the development of therapeutics and vaccines against β-coronavirus infection.

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Review 5.  The Updated Review on Plant Peptides and Their Applications in Human Health.

Authors:  Saiprahalad Mani; Smruti B Bhatt; Vinduja Vasudevan; Dhamodharan Prabhu; Sundararaj Rajamanikandan; Palaniyandi Velusamy; Palaniappan Ramasamy; Pachaiappan Raman
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