2017
DOI: 10.1007/s11224-016-0903-x
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Geometry optimization of steroid sulfatase inhibitors - the influence on the free binding energy with STS

Abstract: In the paper we review the application of two techniques (molecular mechanics and quantum mechanics) to study the influence of geometry optimization of the steroid sulfatase inhibitors on the values of descriptors coded their chemical structure and their free binding energy with the STS protein. We selected 22 STS-inhibitors and compared their structures optimized with MM+, PM7 and DFT B3LYP/6-31++G* approaches considering separately the bond lengths, angles, dihedral angles and total energies. We proved that … Show more

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Cited by 10 publications
(5 citation statements)
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“…The chemical structures of 15 kinds of diterpenoid alkaloids compounds were entered into hyperchem program software and were optimized using geometry optimizing by their gradient which was less than 0.10, and were imaged by three dimensional formations. Then all kinds of quantitative three dimensional parameters of diterpenoid alkaloids compounds were calculated using semiempirical formula method [ 27 ]. What is also worth considering is that HF was obtained using PM3 quantum chemical calculations and other parameters were obtained using AM1 quantum chemical calculations.…”
Section: Methodsmentioning
confidence: 99%
“…The chemical structures of 15 kinds of diterpenoid alkaloids compounds were entered into hyperchem program software and were optimized using geometry optimizing by their gradient which was less than 0.10, and were imaged by three dimensional formations. Then all kinds of quantitative three dimensional parameters of diterpenoid alkaloids compounds were calculated using semiempirical formula method [ 27 ]. What is also worth considering is that HF was obtained using PM3 quantum chemical calculations and other parameters were obtained using AM1 quantum chemical calculations.…”
Section: Methodsmentioning
confidence: 99%
“…As consequence, a pivotal challenge in IL research is the development of dependable models to relate the physicochemical and structural properties of ILs with their biological effects. These models include predictive quantitative structure–activity relationship (QSAR) models, molecular docking, structure–activity relationship (SAR) systems, read‐across models, physiology‐based pharmacokinetic models, and quantitative toxicity–toxicity relationship (QTTR) models . In addition to toxicity predictions, these models have been successful in forecasting various physicochemical properties of ILs, such as melting points, surface tensions, infinite dilution activity coefficients, viscosities, conductivities, solubilities, glass transition temperatures, and decomposition temperatures …”
Section: Computational Prediction Of the Toxicity Of Ionic Liquidsmentioning
confidence: 99%
“…For example, the fluorine atoms from some docked derivatives are within short distances to the Arg98 or Thr484 residues, suggesting the presence of additional stabilising interactions that may influence the binding of a potential drug molecule to the enzyme's active site. Additionally, computational research on geometric optimisation methods for STS inhibitors based on fluorinated 3phenylcoumarin sulphamates and their influence on the free binding energy with STS has been performed 70 . The obtained results indicated that the MM þ and PM7 geometry optimisation methods could be successfully employed for the geometric optimisation of STS inhibitors before their docking procedure and for molecular descriptor calculations.…”
Section: Nonsteroidal Sts Inhibitors Containing a Sulphamate Moietymentioning
confidence: 99%