Page 89 - TD-4-1
P. 89

Tumor Discovery                                                Identification of a potential KRAS(G12C) inhibitor



            2.2. Protein and ligand preparation                to <10.0  kJ/mol, with a maximum duration of 100

            The 174 compounds containing the acrylamide warhead   picoseconds (ps) for the minimization steps. Subsequently,
            were prepared and optimized for molecular docking using   a 100 ps equilibration phase with position restraints on
            LigPrep. 26,27  Compounds were obtained using Epik at   the protein and ligand molecules was conducted using
            pH 7.0 ± 1.0.  The protein structure of the inactive GDP-  NVT  (Number  of  Volume  and  Temperature)  and  NPT
                      28
            bound state of human KRAS(G12C) (PDB ID: 6OIM) was   (Number of Pressure and Temperature) ensembles.
            retrieved from the Protein Data Bank, with a resolution   During this period, the systems were heated to 303.15 K
                    29
            of 1.65 Å.  Protein preparation was performed using the   using a modified Berendsen thermostat (V-rescale), 37,38
                                          30
            protein preparation wizard in Maestro,  which fixed all the   and pressure was maintained using C-rescale pressure
                                                                                                   39
            missing residues and atoms of the protein structure. Several   coupling set to a reference pressure of 1 bar.  For energy
            crucial steps in the preparation included introducing   minimization,  NVT,  and  NPT  relaxation  simulations,
            hydrogen atoms, refining hydrogen bond networks, and   short-range interactions utilized a smooth force switch
            addressing missing side chains through the utilization of   with a cut-off of 1.2  nm, and long-range electrostatics
            Prime. Subsequently, water molecules were eliminated, and   were computed using the Particle-Mesh-Ewald (PME)
                                                                       40
            a restrained minimization employing the OPLS3e force   algorithm.  In addition, hydrogen bonds were constrained
                                                                                                            41
            field was carried out.  The resulting optimized protein   by employing the Linear Constraint Solver algorithm.
                              31
            structure was then utilized for the subsequent docking   Finally,  MD  simulations were  conducted for  durations
            process.                                           of 100 ns, 300 ns, and 500 ns (Table 1) without applying
                                                               restraints. A  2 femtoseconds integration time step was
            2.3. Covalent dockingbased virtual screening       employed, and trajectory snapshots were captured at 1 ps
            A  set  of 174  pharmacophores  similar  to  Sotorasib  was   intervals.
            employed in covalent docking-based virtual screening   MDS analyses were performed using GROMACS, a
            (CovDock-VS)  against the  KRAS(G12C) target (PDB   Linux-×86_64-multicore CUDA-enabled program on an
                        32
            ID: 6OIM). The reactive residue Cys12 was specifically   NVIDIA GeForce GTX 1060 GPU and an 8-core Intel Core
            selected, and grid generation for docking was created as   i5-7000 central processing infrastructure. The computation of
            a cubic grid box centered at the coordinates (x, y, and z)   a single complex required approximately 100 ns of processing
            of Sotorasib, with a length of 12 Å. The acrylamide   time per simulation day. GROMACS modules were used to
            electrophilic  warhead group, identical to the  template   analyze MD trajectories, focusing on parameters such as
            drug Sotorasib, was selected for the Michael addition – a   root RMSD/mean-square deviation fluctuation (RMSF) and
            reaction responsible for the covalent bonding of ligands   hydrogen bond (H-bond) analysis. Graphs were generated
            featuring  an  acrylamide  functional  group  with  the  side   using XMGrace  and visual molecular dynamics (VMD). 43
                                                                           42
            chain of nucleophilic protein residues. Subsequently, the
            ligands were selected and prioritized based on their Glide   The calculation of binding free energy was performed
            scores for the binding modes of pre-reactive complexes. 33,34  using the gmx_MMPBSA tool, which is based on Assisted
                                                               Model Building with Energy Refinement MM/PB(GB)SA
            2.4. MD simulations                                approach. This tool is designed for conducting end-state
            MD  simulations were  conducted on the protein-ligand   free energy calculations using GROMACS trajectory files.
            complexes derived from the covalent docking-based   Specifically, the final 50 ns of the simulation trajectory were
            virtual screening using GROningen MAchine for Chemical   considered for the molecular mechanics with Generalized
            Simulations (GROMACS) 2023.1.  The CHARMM-GUI      Born surface area (MM/GBSA) calculation.
                                       35
            (Chemistry at HARvard Macromolecular Mechanics
            Graphical User Interface) server was used for solution   Table 1. KRAS(G12C) complexes feature with their atom
            building. The CHARMM36 force field  was applied to   numbers for duration 500 ns
                                            36
            define atom types and assign atomic partial charges for both   Atoms  KRAS(G12C)-Sotorasib  KRAS(G12C)-C02b
            the ligand and protein. Furthermore, the CHARMM-GUI
            server was employed to generate the topology for both the   Protein   2,704             2,704
            KRAS(G12C) receptor and the promising inhibitors. For   Ligand        72                87
            the setup of MD simulations, the protein-ligand complexes   Na +      14                13
            were centered in an octahedral box and solvated with the   Cl -       7                 7
            TIP3P water model. Neutralization of the complexes charge   Water (TIP3P)  7,914        7,923
            was achieved by adding 150 mM ions. The minimization   Abbreviations: TIP3P: Transferable intermolecular potential three-
            process concluded when the maximum force was reduced   point; KRAS: Kirsten rat sarcoma viral oncogene homolog.


            Volume 4 Issue 1 (2025)                         81                                doi: 10.36922/td.5163
   84   85   86   87   88   89   90   91   92   93   94