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Merck molecular force field

Manufactured by Merck Group
Sourced in United States

The Merck molecular force field is a software tool designed for the simulation and analysis of molecular structures and interactions. It provides a computational framework for modeling the behavior of molecules based on the principles of quantum mechanics and classical mechanics. The core function of the Merck molecular force field is to accurately represent the potential energy surfaces of molecular systems, enabling the prediction of molecular structures, conformations, and various physicochemical properties.

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5 protocols using merck molecular force field

1

Conformational Analysis of THPDTPI

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The 2D structure of THPDTPI was sketched in ChemDraw Ultra 10.0, converted to 3D conformation in Chem3D 10.0, and then energy minimized in Discovery Studio 3.5 with a Merck molecular force field (Merck & Co.) until the minimum RMS reached 0.001. The energy optimized conformations in the whole conformational space of THPDTPI were sampled with systematic search and BEST method of Discovery Studio 3.5, which were practiced with a SMART minimizer using CHARMM force field. The energy threshold was set to 20 kcal/mol at 300 K. The maximum minimization steps were 200 and the minimization root mean squared (RMS) gradient was 0.1 Å. The maximum generated conformations were 255 with a RMS deviation (RMSD) cutoff of 0.2 Å. Top 10 energy optimized conformations of THPDTPI were used for the docking to the active site of P-selectin.
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2

Comprehensive Herbal Compound Database for MS

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Chemical ingredients from herbs in WDD were collected from the Beilstein/Gmelin CrossFire Chemical database, Chinese Herbal Drug Database (2002 version) and the Handbook of the Constituents in Chinese Herb Original Plants [44 ,45 ]. In total, we collected the structural information of 282 compounds for Radix Glycyrrhizae Preparata, 156 compounds for Citrus Aurantium, 110 compounds for Pericarpium Citri Reticulatae, 54 compounds for Poria Cocos, 35 compounds for Pinellia Ternata and 5 compounds for Caulis Bambusae in Taeniam. After removing duplicates, 618 compounds were retained and their 2D structures were sketched using ISIS Draw 2.5 (Molecular Design Limited (MDL) Information Systems, Inc., San Leandro, CA, USA), and then they were grouped based on the criteria for chemical structure classification of natural products. Their 3D structures were further optimized using MOE2008 (Chemical Computing Group, Montre, Montreal, QC, Canada) with a Merck molecular force field (Merck Research Laboratories, Boston, MA, USA). In addition, a total of 175 synthesis drugs concerning MS diseases such as diabetes, hypertension, hyperlipidemia and obesity approved by Food and Drug Administration were collected from the DrugBank database [46 ] and their structures were optimized using the same method with herb chemical ingredients (Table S2).
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3

Identifying Compounds in Chinese Herbs

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Chemical ingredients from AS, RR, AC and RPR were collected from the Chinese Herbal Drug Database (2002 version) and the Handbook of the Constituents in Chinese Herb Original Plants (9 (link),10 ). Excluding duplicates, 158 compounds were determined and their structures were drawn using ISIS Draw 2.5 (MDL Information Systems, Inc., San Leandro, CA, USA), then further optimized using Discovery studio 2.0 (DS2.0; Accelrys, Inc., San Diego, CA, USA) with a Merck molecular force field (Merck Research Laboratories, Boston, MA,USA). The protocol of cluster ligands in DS2.0 were performed to group DSMF compounds under the standard default settings (11 (link)).
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4

Comprehensive Licorice Compound Analysis

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Chemical ingredients from licorice were searched from the Beilstein/Gmelin CrossFire Chemical database, Chinese Herbal Drug Database and the Handbook of the Constituents in Chinese Herb Original Plants [20 ,21 ]. In total, we obtained the structural information of 282 compounds for licorice and their 2D structures were sketched using ISIS Draw 2.5 (MDL Information Systems, Inc., San Leandro, CA, USA). Their 3D structures were further minimized using MOE2008 (Chemical Computing Group, Montre) with a Merck molecular force field (Merck Research Laboratories, Boston, MA, USA). The drug-likeness molecular descriptors were calculated to evaluate the drug-likeness property of compounds in licorice based on Lipinski’s rule of five.
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5

Conformational Analysis and Molecular Docking

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The 2D structure of 12 derivatives of bisindole-2-carboxilic acids was sketched in ChemDraw Ultra 10.0, converted to conformation in Chem3D 10.0, and then energy minimized in Discovery Studio 3.5 with a Merck molecular force field (Merck & Co.) until the minimum RMS reached 0.001 in Chem3D Ultra 10.0. The energy optimized conformations in whole conformational space of the derivatives were sampled with systematic search and BEST method of Discovery Studio 3.5, which were practiced with a SMART minimizer using CHARMM force field. The energy threshold was set to 20 kcal/mol at 300 K. The maximum minimization steps were 200 and the minimization root mean squared (RMS) gradient was 0.1 Å. The maximum generated conformations were 255 with a RMS deviation (RMSD) cutoff of 0.2 Å. Top 10 energy optimized conformations of DEBIC were used for the docking to d(CGATCG)2 and P-selectin.
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