Continuum solvation models: Dissecting the free energy of solvation

2003 ◽  
Vol 5 (18) ◽  
pp. 3827-3836 ◽  
Author(s):  
F. Javier Luque ◽  
C. Curutchet ◽  
J. Muñoz-Muriedas ◽  
A. Bidon-Chanal ◽  
I. Soteras ◽  
...  
2013 ◽  
Vol 15 (32) ◽  
pp. 13578 ◽  
Author(s):  
Matthew J. McGrath ◽  
I-F. Will Kuo ◽  
Brice F. Ngouana W. ◽  
Julius N. Ghogomu ◽  
Christopher J. Mundy ◽  
...  

2016 ◽  
Vol 120 (7) ◽  
pp. 1319-1329 ◽  
Author(s):  
Junming Ho ◽  
Mehmed Z. Ertem

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Amin Alibakhshi ◽  
Bernd Hartke

AbstractTheoretical estimation of solvation free energy by continuum solvation models, as a standard approach in computational chemistry, is extensively applied by a broad range of scientific disciplines. Nevertheless, the current widely accepted solvation models are either inaccurate in reproducing experimentally determined solvation free energies or require a number of macroscopic observables which are not always readily available. In the present study, we develop and introduce the Machine-Learning Polarizable Continuum solvation Model (ML-PCM) for a substantial improvement of the predictability of solvation free energy. The performance and reliability of the developed models are validated through a rigorous and demanding validation procedure. The ML-PCM models developed in the present study improve the accuracy of widely accepted continuum solvation models by almost one order of magnitude with almost no additional computational costs. A freely available software is developed and provided for a straightforward implementation of the new approach.


J ◽  
2021 ◽  
Vol 4 (4) ◽  
pp. 604-614
Author(s):  
Dipankar Roy ◽  
Andriy Kovalenko

The three-dimensional reference interaction site model of the molecular solvation theory with the Kovalenko–Hirata closure is used to calculate the free energy of solvation of organic solutes in liquid aliphatic ketones. The ketone solvent sites were modeled using a modified united-atom force field. The successful application of these solvation models in calculating ketone–water partition coefficients of a large number of solutes supports the validation and benchmarking reported here.


2020 ◽  
Vol 18 (1) ◽  
pp. 857-873
Author(s):  
Kornelia Czaja ◽  
Jacek Kujawski ◽  
Radosław Kujawski ◽  
Marek K. Bernard

AbstractUsing the density functional theory (DFT) formalism, we have investigated the properties of some arylsulphonyl indazole derivatives that we studied previously for their biological activity and susceptibility to interactions of azoles. This study includes the following physicochemical properties of these derivatives: electronegativity and polarisability (Mulliken charges, adjusted charge partitioning, and iterative-adjusted charge partitioning approaches); free energy of solvation (solvation model based on density model and M062X functional); highest occupied molecular orbital (HOMO)–lowest occupied molecular orbital (LUMO) gap together with the corresponding condensed Fukui functions, time-dependent DFT along with the UV spectra simulations using B3LYP, CAM-B3LYP, MPW1PW91, and WB97XD functionals, as well as linear response polarisable continuum model; and estimation of global chemical reactivity descriptors, particularly the chemical hardness factor. The charges on pyrrolic and pyridinic nitrogen (the latter one in the quinolone ring of compound 8, as well as condensed Fukui functions) reveal a significant role of these atoms in potential interactions of azole ligand–protein binding pocket. The lowest negative value of free energy of solvation can be attributed to carbazole 6, whereas pyrazole 7 has the least negative value of this energy. Moreover, the HOMO–LUMO gap and chemical hardness show that carbazole 6 and indole 5 exist as soft molecules, while fused pyrazole 7 has hard character.


2004 ◽  
Vol 69 (3) ◽  
pp. 951-958 ◽  
Author(s):  
Carlos Alemán ◽  
W. K. den Otter ◽  
T. V. Tolpekina ◽  
W. J. Briels

2012 ◽  
Vol 116 (30) ◽  
pp. 9122-9129 ◽  
Author(s):  
Varinia S. Bernales ◽  
Aleksandr V. Marenich ◽  
Renato Contreras ◽  
Christopher J. Cramer ◽  
Donald G. Truhlar

2013 ◽  
Vol 554 ◽  
pp. 32-38
Author(s):  
Subburam Mahalakshmi ◽  
Rahiman Sahib Raj Mohamed ◽  
Venu Kannappan ◽  
Venkatachalam Sathyanarayanamoorthi

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