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Jaguar

Manufactured by Schrödinger
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Jaguar is a computational chemistry platform designed for drug discovery and materials science research. It offers a suite of tools for molecular modeling, simulation, and analysis. Jaguar provides high-accuracy quantum chemistry calculations to support the exploration and optimization of molecular structures and properties.

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24 protocols using jaguar

1

Modeling Cysteine Reactivity via Methanethiolate

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The reactivity of cysteine
residues toward compounds under investigation was modeled as reactivity
toward methanethiolate. Reactivity calculations were carried out at
the B3LYP-D3/6-31+G**36 (link)−41 (link) level of theory in Jaguar (Schrodinger LLC, N. Y. (2009) Jaguar,
version 7.6). Implicit solvation was modeled using the Poisson–Boltzmann
finite system; however, in most cases, at least one explicit water
molecule was also included since these have been shown to be implicated
in the most energetically favored transition states (c.f. Ponting
et al. 2019 Figure 6).26 (link) Transition states were deduced initially
using the linear synchronous transit method; however, those that proved
less easy to find were discovered using a variety of techniques including
temporarily constraining the locations of reactive species and variation
of the initial guess. Initial preparation of structures was carried
out using MacroModel (Schrodinger LLC, N. Y. (2009) Jaguar, version
9.7) and Maestro (Schrodinger LLC, N. Y. (2009) Jaguar, version 9.0).
Calculations were performed on a mixture of the C3SE cluster (SNIC
facility located at the Chalmers University of Technology, Gothenburg)
and standalone workstations running CentOS 6.6. For isosorbide bis-epoxides 2 and 3, the structures were truncated by reducing
the isosorbide core to a methyl group for computational efficiency.
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2

DFT Calculations Using Jaguar with B3LYP/6-311++G**

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Jaguar (Schrödinger Release 2022-1: Jaguar, Schrödinger, LLC, New York, NY, USA, 2022) [45 (link)] was utilized to conduct the DFT calculations [28 (link)] using the B3LYP (Becke’s three-parameter exchange potential and Lee-Yang-Parr correlation function) method [46 (link)] in conjunction with the 6-311++G** (d, p) basis set, which successfully recommended itself for similar tasks and objects [47 (link),48 (link)]. The calculations included the determination of the following properties: HOMO, LUMO, their energy gap (ΔE), ESP, ALIE, NBO, and ED.
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3

Kinetic Analysis of Organic Nucleophilic Substitution

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After the GC chromatograms were acquired, the area under the peak for the OAS was determined using Chemstation Version B software. A ln(area) vs. time (s) graph was then plotted, and the slope of the line is equal to -kob (observed rate constant). The corrected rate constant (kcorr) was calculated by dividing the observed rate constant by the catalyst concertation (M). Under spontaneous conditions, the rate constant (kspon) is equal to the observed or corrected ones. The polarity (σ*) and the steric effect (Es) were calculated using Eqs. 7 and 8, respectively10 (link). The polarity of the attached groups were obtained from ref. 15 . The molecular volume and pKa of ethoxy’s oxygen were calculated by QikProp and Jaguar software, respectively, from Schrodinger LLC16 (link),17 . The SPARC program from Archem LLC was used to estimate the partition coefficients of OAS between the organic solvents (methanol, acetonitrile, and dioxane) and water, and the hydrogen-bond properties (e.g. alpha and beta)18 . The thermodynamic quantities of the activated complex were calculated from the activation energies (Ea) and the pre-exponential factors (A), that resulted from the plotting of the Arrhenius graphs, and according to Eqs. 9 to 11. ΔH=EaRT ΔS=Rln(A)Rln(kBT/h)R ΔG=ΔH
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4

Parameterizing cAMP for MD Simulations

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We parameterized cAMP for the MD simulations as a small organic molecule using the Generalized Amber Force Field (GAFF)53 (link) to allow for consistent treatment of ligands in future studies. The coordinates for cAMP were taken from the 1RGS15 (link) crystal structure. Partial atomic charges for cAMP were determined by single-point energy calculations using Schrodinger’s QM module Jaguar (Suite 2012: Jaguar, version 7.9, Schrödinger, LLC, New York, NY, 2012) using Hartree-Fock level of theory and 6–311g** bases. GAFF atom types were assigned using antechamber54 (link), and the parameters files were prepared with AMBER’s xleap.
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5

DFT Calculations with Jaguar Software

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DFT calculations were performed with Jaguar (Schrödinger, LLC, New York, NY) version 8.0 on a High-Performance-Computing cluster at the Albert Einstein College of Medicine (Bronx, NY), and at the B3LYP/6-311G*+ functional level, unless otherwise stated. Visualizing the molecular normal modes and isovalue surfaces of molecular orbitals (MOs) was supported by Maestro (version 9.4) from Schrödinger. Further details are given in the text or in the figure legends.
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6

Computational pKa Prediction

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pKa prediction
was performed using Jaguar (Schrödinger
2021-1) in default setting.
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7

Dihedral Strain Energy Comparison

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For 20 representative dihedrals, we calculated the strain at the 6–31G** basis set level using the B3LYP-D3 method in Jaguar (Schrodinger, New York). For each torsion, we compared the QM-calculated strain energy to that calculated by the population-based method at angles of both 30 and 60° off the minimum.
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8

Electrostatic Potential Calculation of Paroxetine

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The electrostatic potential was calculated using Jaguar (version 9.4, Schrödinger, LLC, New York, NY, 2016). In this process, the geometries of paroxetine and Br-paroxetine were first optimized at the quantum mechanical level using B3LYP-density functional theory and the TZV** basis set implemented in Jaguar. Then the electrostatic potentials were calculated using the same functional theory and basis set and mapped onto the surfaces of constant electron density.
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9

Computational Modeling of Selenium Compounds

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Schrödinger Maestro was used for all modelling tasks. Small molecules were first prepared using Ligprep module. Initial guesses for model compounds were constructed and structure manipulations as well as visualization of the results were done with Maestro GUI. Electronic structure calculations were computed using Jaguar module of Schrödinger suite. (Schrödinger Release 2020-1: Jaguar, Schrödinger, LLC, New York, NY, USA, 2020). Initial gas phase optimization for compounds were done using density functional theory B3LYP and basis set of 6-31G**. Thus, the most interesting ligands contained fourth row selenium atoms and for those, pseudo spectral grids are only available on higher basis sets. As a consequence, all reported geometry optimizations were finally carried out using B3LYP/cc-PVTZ(-F), available in the Jaguar suite. Fukui indices and visualization of molecular orbitals were calculated for B3LYP/cc-PVTZ(-F) optimized gas phase geometries.
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10

Darobactin Isomers Conformational Analysis

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Modeling of the 4 possible darobactin isomers was performed in
Schrodinger 2018–2. The four isomers first underwent conformational
search in Macromodel module (Schrödinger) with MMFF forcefield. Mixed
torsional/low-mode sampling method was used with a maximum of 10,000 steps.
The lowest energy conformer for each isomer was then subjected to geometry
optimization using Jaguar (Schrödinger) at B3LYP/6–31G (d, p)
level with fine grid density and the ultrafine accuracy level of SCF. All
the simulations were performed for gas phase.
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