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Molecular modeling suite 2019

Manufactured by Schrödinger

The Schrödinger Molecular Modeling Suite 2019 is a comprehensive software package designed for computational chemistry and molecular modeling. It provides a suite of tools for simulating and analyzing the behavior of molecules and their interactions. The core function of the software is to enable users to build, visualize, and manipulate molecular structures, as well as perform various computational analyses such as quantum mechanics calculations, molecular dynamics simulations, and ligand-receptor docking.

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2 protocols using molecular modeling suite 2019

1

Molecular Modeling of Tubulin-Colchicine Binding

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Molecular modeling study of CH-3–8 binding at the colchicine site in tubulin was performed using a recently published X-ray crystal structure (PDB ID: 6AGK) containing a very close analog of CH-3–8 [18 (link)]. We used Schrödinger Molecular Modeling Suite 2019 (Schrödinger LLC, New York, NY) for this modeling study, following similar procedures described before [18 (link)–20 (link)]. Briefly, both CH-3–8 and the native ligand in 6AGK (CH-2–77) were built and prepared using LigPrep. The protein was prepared using the Protein Preparation Wizard workflow, including preprocessing, adding missing chains, optimizing the hydrogen-bonding interactions, and minimizing the complex to refine the structure. The receptor grid in the αβ-tubulin dimer was generated by centering the grid box on the native ligand binding site using the Receptor Grid Generation panel. Prepared compounds were then docked into the binding site of 6AGK with the Ligand Docking module. Hydrogen bonds and data analysis were carried out by using the Maestro interface of Schrödinger software. The docking score obtained attempts to estimate the free energy of binding, and a lower docking score (more negative) indicates more favorable interaction.
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2

Molecular Docking Analysis of ATX and LPAR1

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The crystal structures of ATX (PDB ID: 3NKM) and LPAR1 (PDB ID: 4Z35) were obtained from Protein Data Bank. The ligand structures were built and prepared by using the LigPrep tool of modeling software Schrödinger Molecular Modeling Suite 2019 (Schrödinger LLC, New York, NY). The proteins were preprocessed by adding hydrogens, filling the missing chains, optimizing hydrogen bonds, and minimizing energy using Protein Preparation Wizard workflow with procedures similar to those described before. 51 The receptor grid of 3NKM was generated by centering the binding site enclosing box on the major residues at the active binding site, including Lys39, Arg124, and Glu293, using the Receptor Grid Generation. The receptor grid of LPAR1 was generated with a grid box centered on the active ligand-binding site. Then the standard precision of flexible molecular docking was performed by using the Glide Docking module. The binding modes of the ligands and data analysis were carried out using Maestro. The glide docking score generated in the docking represents an estimated binding energy when a ligand binds to the receptor. A lower ligand glide docking score normally demonstrates a more favorable binding interaction with the receptor.
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