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The Internet of Medical Things (IoMT)


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      1.3.4 Identification of Active Sites

      For EGFR, K-ras oncogene protein, and TP53, the BSP-Slim server was used to obtain the active site protein volume and the residues that form an active site pocket (Table 1.6). The protein volume for EGFR, K-ras, and TP53 were 837 A3, 718A3, and 647A3, respectively.

      1.3.5 Target Protein-Ligand Docking

      Based on Murugesan et al. study [30], the plant compounds from methanolic leaf extract of Vitexnegundoweredocked successfully with cyclooxy-genase-2 (COX-2) enzyme. The phytocompounds had a better interaction compared with aspirin and ibuprofen. They had a good binding energy and docking result.

      Besides that, four components [1,3-Dioxolane, 2-(3-bromo-5,5,5-trichloro-2,2-dimethylpentyl)-, Butanoic acid, 2-hydroxy-2-methyl-methyl ester, DL-3,4-Dimethyl-3,4-hexanediol, and Pantolactone] from Moringaconcanensishad good binding affinity with brain cancer receptors. The binding energies were –3.90, –2.75, –3.05, and –4.15 kcal/mol. They had the lowest binding energies [31].

      According to Deepa et al. study, plant compounds from the ethanolic leaf extract of VitexNegundo [(4S)-2-Methyl-2-phenylpentane-1,4-diol, 7-Methoxy-2,3-dihydro-2-phenyl-4-quinolone, 3-(tert-Butoxycarbonyl)-6-(3-benzoylprop-2-yl)phenol, (3R,4S)-4-(methylamino)-1-phenylpent-1-en-3-ol, and (2S,1’S)-1-Benzyl-2-[1’-(dibenzylamino) ethyl]aziridine] were docked with glucosamine 6 phosphatase synthase. They had the lowest and most negative value for binding energy (-36.53, –33.57, –35.90, –33.88, and –37.65 kcal/mol) [32].

      Table 1.6 Predicted active sites of the EGFR, K-ras oncogene protein, and TP53.

Protein Volume Residues that forming pocket
EGFR 837 GLY100, ALA 101, ASP102, SER103, TYR104, GLU105, MET106, GLU107, GLU108, LYS113, LYS115, LYS 116, CYS117, GLU118, GLY119, PRO120, CYS121, ARG122, LYS123, VAL124, ASN149, THR151, SER152, SER154, THR185, LYS187, GLU188, THR190, ASN210, GLU212, ILE213, ARG215, LYS242, CYS99
K-ras oncogene protein 718 GLY10, ALA11, CYS12, GLY13, VAL14, GLY15, LYS16, ASP33, PRO34, THR35, GLU37, LEU56, ASP57, THR58, ALA59, GLY60, GLN61, GLU62, GLU63, SER65, ARG68, MET72, ALA83, ASN86, LYS88, SER89, GLU91, ASP92, ILE93, HIE94, HIE95, TYR96, ARG97, GLU98, GLN99, ILE100, ARG102, VAL103
TP53 647 GLU107, ASN109, THR11, PRO128, TYR129, GLN13, GLU130, PRO131, PRO132, GLU133, VAL134, GLY135, SER136, ASP137, CYS138, THR139, THR140, ILE141, HIE142, TYR143, TYR16, GLY17, ASN177, SER178, PHE18, ARG19, LEU20, GLY21, PHE22, LEU23, HIE24, TYR35, ASN40, MET42, THR49, CYS50, PRO51, GLN53, LEU54, TRP55, VAL56, ASP57, THR59, PRO60, PRO61, THR64

      According to Kasilingam and Elengoe study, apigenin successfully docked with p53, caspase-3, and MADCAM1 using BSP-Slim server. Apigenin was the plant compound while p53, caspase-3, and MADCAM1 were the target proteins in lung cancer cell line. Apigenin bound strongly with p53, caspase-3, and MADCAM1 at the lowest binding energies (4.611, 5.750, and 5.307 kcal/mol, respectively) [33].

      Based on Ashwini et al. study, coumarin, camptothecin, epigallocate-chin, quercetin, and gallic acid were screened for potential binding with caspase-3 (target protein) in human cervical cancer cell line (HeLa). Coumarin had the strongest interaction with caspase-3 at the lowest binding affinity (–378.3 kJ/mol). Therefore, it could be a potential anti-cancer drug. However, gallic acid had the least interaction with caspase-3 at the lowest binding energy (–181.3 kJ/mol). The docking approach was carried out using Hex 8.0.0 docking software [34].

      Based on Supramaniam and Elengoe study, glycyrrhizin successfully docked with p53, NF-kB-p105, and MADCAM1 using BSP-Slim server. Glycyrrhizin was the plant compound while p53, NF-kB-p105, and MADCAM1 were the target proteins in breast cancer cell line. Glycyrrhizin bound strongly with p53, NF-kB-p105, and MADCAM1 at the lowest binding affinities (-4.040, –5.127, and –5.251 kcal/mol, respectively). Therefore, glycyrrhizin could be a potential drug in breast cancer treatment [36].

      According to Elengoe and Sebestian study, p53, adenomatous polyposis coli (APC), and EGFR were generated using homology modeling approach. These proteins were the target proteins. They were docked successfully with plant compounds such as allicin, epigallocatechin-3-gallate, and gingerol. Plant compounds were used as ligands in docking process. p53 had the most stable interaction with the allicin among the three target proteins. p53 docked with allicin at the lowest binding energy of 4.968. However, the other target proteins had the good docking score too [37].

      In this study, EGFR is successfully docked with quercetin, curcumin, and ellagic acid by using the BSP-Slim server. The same target protein-phytocompound complex docking method was repeated with K-ras oncogene protein and TP53. Furthermore, the most suitable docking complex was selected based on the lowest binding energy (DGbind). Results of docking showed that EGFR had a strong bond with ellagic acid since it was the most favorable with the lowest energy value (–2.892 kcal/mol) when compared to curcumin and quercetin (Table 1.7). In addition, there was strong interaction between K-ras oncogene protein and quercetin with lowest energy (–1.154 kcal/mol) that was most favorable when compared to curcumin and ellagic acid. In addition, the strongest interaction for TP53 was with quercetin when compared to other two compounds with lowest energy (0.809 kcal/mol) according to the docking analysis.

      Table 1.7 Docking result of the EGFR, K-ras oncogene protein, and TP53.



Protein Compounds Binding energy (kcal/mol)
EGFR Curcumin