Open AccessPrediksi dan Identifikasi Struktur Protein EGFR Kanker Paru dengan Mutasi Titik L718Q/T790M Secara Pemodelan Homologi In Silico
Author(s) -
Dwi Syah Fitra Ramadhan,
Daryono Hadi Tjahjono
Publication year - 2020
Publication title -
jurnal sains dan kesehatan/jurnal sains dan kesehatan
Language(s) - English
Resource type - Journals
eISSN - 2407-6082
pISSN - 2303-0267
DOI - 10.25026/jsk.v2i4.257
Subject(s) - mutant , homology modeling , in silico , t790m , point mutation , mutation , biology , computational biology , microbiology and biotechnology , genetics , gene , biochemistry , kras , enzyme
EGFR receptors play an important role in the growth of cancer cells, and these receptors have undergone various types of mutations. At this time, the effect of the L718Q / T790M point mutation on the EGFR receptor is not known, therefore the aim of this study is to predict the EGFR structure with the L718Q / T790M point mutation using in silico homology modeling. The mutant protein was successfully modeled using SWISS-Model expasy webserver and showed good evaluation results after the protein was minimized as indicated by the results of the Ramachandran outlier score of 0%, clashscore 0.98, and MolProbity 1.15. Identification of the active site of the mutant protein shows a conformational change of the active site that causes a steric collision between the inhibitor group and the amino acid side chain of the mutant protein.
Keywords: EGFR, mutation, homology modeling, in silico.