HOMOLOGY MODELING, DOCKING, VIRTUAL SCREENING AND MOLECULAR DINAMIC STUDY OF EPIDERMAL GROWTH FACTOR RECEPTOR (EGFR) WITH RESISTANCE MUTATIONS OF L858R/T790M/L718Q TO ALLOSTERIC INHIBITOR ACTIVITY
The third generation of TKIs-EGFR (Tirosin Kinese Inhibitors-Epidermal Growth Factor Receptor) underwent 2 resistance mutations that are C797S and L718Q. EGFR-C797S has been overcome with allosteric inhibitor i.e. EAI001. However, its activity on the EGFR-L718Q mutation is still unknown. The aim...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/36941 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | The third generation of TKIs-EGFR (Tirosin Kinese Inhibitors-Epidermal Growth Factor
Receptor) underwent 2 resistance mutations that are C797S and L718Q. EGFR-C797S has been
overcome with allosteric inhibitor i.e. EAI001. However, its activity on the EGFR-L718Q
mutation is still unknown. The aim of present study was to determine the activity of allosteric
inhibitor against resistance mutations L858R/T790M/L718Q, and to screen compounds that
have better activity against EGFR resistance mutations. Three types of mutant protein were
constructed using expasy SWISS-MODEL server, namely mutant A (L858R/T790M/L718Q) as
a target, and mutant B (L858R/T790M) and mutant C (T790M/L718Q) as controls. EGFR with
PDB-ID of 5D41 was used as the template to build the mutant structure. The proteins were then
evaluated, refined, and minimized. The EAI001 ligand as native ligand was docked against
protein template and mutant proteins. Data set of compounds from NCI Open Chemical
Repository integrated in http://pharmit.csb.pitt.edu/ were screened based on pharmacophore and
molecular docking. Molecular Dynamics is done using GROMACS software for 50 ns (nano
second) Simulation. The complexes of molecular dynamics simulation results are analyzed
based on the RMSD, RMSF, and occupancy values of hydrogen bonds formed. Three mutant
proteins were successfully constructed. Docking of EAI001 ligand into protein template showed
its binding energy of –11.33 kJ/mol, while its binding energy to mutant A, mutant B, and mutant
C, are –5.84, –8.14, –4.99 kJ/mol, respectively. Virtual screening using the model_4 with Aro-
Hyd-Acc&ML-Don-Acc&ML2-Acc&ML3 features and drug-like criteria, to 144,104
compounds resulted in 1,628 hits. The compounds were then screened by docking protocol into
the template protein, and 14 compounds showed have better activity than EAI001 ligand. When
those compounds were docked into mutant A protein, compound NSC3 showed highest activity.
Four complexes were simulated for 50 ns and analyzed. NSC3 compounds showed good stability
based on the RMSD value, RMSF, and hydrogen bond occupancy compared to natural ligands,
both in the protein template and in Mutan_A. Thus, the results showed that EGFR allosteric
inhibitor EAI001 has poor activity to the resistance mutations with L718Q mutant, and NSC3
has shown a potential chance as new inhibitor candidate to inhibit both T790M and L718Q
resistance mutations, via the allosteric site of EGFR.
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