2012
DOI: 10.2174/156802612804910269
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GAMESS As a Free Quantum-Mechanical Platform for Drug Research

Abstract: Driven by a steady improvement of computational hardware and significant progress in ab initio method development, quantum-mechanical approaches can now be applied to large biochemical systems and drug design. We review the methods implemented in GAMESS, which are suitable to calculate large biochemical systems. An emphasis is put on the fragment molecular orbital method (FMO) and quantum mechanics interfaced with molecular mechanics (QM/MM). The use of FMO in the protein-ligand binding, structure-activity rel… Show more

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Cited by 118 publications
(73 citation statements)
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“…85 Then, the FMO-DFT analytic Hessian was implemented in GAMESS and was parallelized using the generalized distributed data interface (GDDI). 61,86,87 For all calculations, the 6-31G(d) basis set with spherical harmonics was used.…”
Section: Computational Detailsmentioning
confidence: 99%
“…85 Then, the FMO-DFT analytic Hessian was implemented in GAMESS and was parallelized using the generalized distributed data interface (GDDI). 61,86,87 For all calculations, the 6-31G(d) basis set with spherical harmonics was used.…”
Section: Computational Detailsmentioning
confidence: 99%
“…Charges for all three ligands were calculated with GAMESS program (Alexeev et al, 2012) using Mulliken charges and Hartree-Fock method in 6-31G* basis with the pre-optimizing (with DFT method with B3LYP functional) molecule geometry. Protonation states were predicted at pH 5,3 as the protein.…”
Section: Ligand Preparationmentioning
confidence: 99%
“…The IR spectra and high-performance liquid chromatography (HPLC) of purine nucleoside analogs and residues of thermal decomposition at different stages were measured. The molecular bond orders of purine nucleoside analogs were calculated with ab initio methods of quantum chemistry (GAMESS package) [27][28][29]. Thermal decomposition mechanisms of purine nucleoside analogs were discussed.…”
Section: Introductionmentioning
confidence: 99%