The Internet of Medical Things (IoMT). Группа авторов

The Internet of Medical Things (IoMT) - Группа авторов


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was confirmed that all the protein models are in the identical stable conditions. The outcome of Cys_ Recserver exhibits that the quantity of disulfide bonds in EGFR is 42, K-ras oncogene protein is 5, and TP53 is 11 (Table 1.2).

      1.3.2 Prediction of Secondary Structures

      The outcome from this analysis specified that EGFR, K-ras oncogene protein, and TP53 constitutes of 15, 11, and 10α helices, respectively. Besides that, Table 1.4 represents the details of the longest and shortest alpha helix of all the protein models.

      1.3.3 Verification of Stability of Protein Structures

      Thereby, the stereo chemical interpretation of backbone phi/psi dihedral angles deduced that EGFR, K-ras oncogene protein, and TP53 have low percentage of residues among the protein models. Moreover, ProQ was utilized in order to validate “the quality” with the usage of Levitt-Gerstein (LG) score and maximum subarray (MaxSub). All the protein models were within the range for LG and MaxSub score according to the outcome exhibited for creating a good model (Table 1.5).

      Table 1.2 The number disulfide bonds were quantitated by Cys_Rec prediction program.

Protein Cys_Rec Score
EGFR Cys_9 –13.0
Cys_13 39.2
Cys_17 100.1
Cys_25 98.3
Cys_26 104.2
Cys_30 104.1
Cys_34 90.5
Cys_42 48.2
Cys_45 56.0
Cys_54 58.2
Cys_58 49.5
Cys_85 55.7
Cys_89 54.9
Cys_101 50.4
Cys_105 44.0
Cys_120 63.0
Cys_123 73.3
Cys_127 75.3
Cys_131 61.6
Cys_156 33.0
Cys_264 45.3
Cys_293 43.8
Cys_300 56.5
Cys_304 46.8
66.0
Cys_317 65.6
Cys_320 60.2
Cys_329 49.1
Cys_333 42.2
Cys_349 42.2
Cys_352 32.9
Cys_356 62.9
Cys_365 70.2
Cys_373 54.2
Cys_376 54.8
Cys_385 35.8
Cys_389 41.2
Cys_411 78.8
Cys_414 85.1
Cys_418 84.4
Cys_422 26.5
Cys_430 3.7
KRAS Cys_12 –28.5
Cys_51 –74.2
Cys_80 –72.6
Cys_118 –56.4
Cys_185 –15.2
TP53 –19.4
Cys_135 –1.6
Cys_141 –17.9
Cys_176 –9.1
Cys_182
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