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Güssregen S, Matter H, Hessler G, Lionta E, Heil J, Kast SM. Thermodynamic Characterization of Hydration Sites from Integral Equation-Derived Free Energy Densities: Application to Protein Binding Sites and Ligand Series. J Chem Inf Model 2017; 57:1652-1666. [DOI: 10.1021/acs.jcim.6b00765] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Stefan Güssregen
- R&D, IDD, Structural Design and Informatics, Sanofi-Aventis Deutschland GmbH, Industriepark Höchst, Building G877, 65926 Frankfurt am Main, Germany
| | - Hans Matter
- R&D, IDD, Structural Design and Informatics, Sanofi-Aventis Deutschland GmbH, Industriepark Höchst, Building G877, 65926 Frankfurt am Main, Germany
| | - Gerhard Hessler
- R&D, IDD, Structural Design and Informatics, Sanofi-Aventis Deutschland GmbH, Industriepark Höchst, Building G877, 65926 Frankfurt am Main, Germany
| | - Evanthia Lionta
- R&D, IDD, Structural Design and Informatics, Sanofi-Aventis Deutschland GmbH, Industriepark Höchst, Building G877, 65926 Frankfurt am Main, Germany
| | - Jochen Heil
- Physikalische
Chemie III, Technische Universität Dortmund, Otto-Hahn-Straße 4a, 44227 Dortmund, Germany
| | - Stefan M. Kast
- Physikalische
Chemie III, Technische Universität Dortmund, Otto-Hahn-Straße 4a, 44227 Dortmund, Germany
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Muehlbacher M, Kerdawy AE, Kramer C, Hudson B, Clark T. Conformation-Dependent QSPR Models: logPOW. J Chem Inf Model 2011; 51:2408-16. [DOI: 10.1021/ci200276v] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Markus Muehlbacher
- Computer-Chemie-Centrum, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nägelsbachstrasse 25, 91052 Erlangen, Germany
- Psychiatrische und Psychotherapeutische Klinik, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 6, 91054 Erlangen, Germany
| | - Ahmed El Kerdawy
- Computer-Chemie-Centrum, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nägelsbachstrasse 25, 91052 Erlangen, Germany
| | - Christian Kramer
- Novartis Pharma AG, Forum 1, Novartis Campus, CH-4056 Basel, Switzerland
| | - Brian Hudson
- Centre for Molecular Design, University of Portsmouth, Mercantile House, Portsmouth PO1 2EG, United Kingdom
| | - Timothy Clark
- Computer-Chemie-Centrum, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nägelsbachstrasse 25, 91052 Erlangen, Germany
- Centre for Molecular Design, University of Portsmouth, Mercantile House, Portsmouth PO1 2EG, United Kingdom
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Affiliation(s)
- Christian Kramer
- Computer-Chemie-Centrum and Interdisciplinary Center for Molecular Materials, Friedrich-Alexander Universität Erlangen-Nürnberg, Nägelsbachstrasse 52, 91052 Erlangen (Germany); Department of Lead Discovery, Boehringer−Ingelheim Pharma GmbH & Co. KG, 88397 Biberach (Germany); and Centre for Molecular Design, University of Portsmouth, Mercantile House, Hampshire Terrace, Portsmouth, PO1 2EG, United Kingdom
| | - Bernd Beck
- Computer-Chemie-Centrum and Interdisciplinary Center for Molecular Materials, Friedrich-Alexander Universität Erlangen-Nürnberg, Nägelsbachstrasse 52, 91052 Erlangen (Germany); Department of Lead Discovery, Boehringer−Ingelheim Pharma GmbH & Co. KG, 88397 Biberach (Germany); and Centre for Molecular Design, University of Portsmouth, Mercantile House, Hampshire Terrace, Portsmouth, PO1 2EG, United Kingdom
| | - Timothy Clark
- Computer-Chemie-Centrum and Interdisciplinary Center for Molecular Materials, Friedrich-Alexander Universität Erlangen-Nürnberg, Nägelsbachstrasse 52, 91052 Erlangen (Germany); Department of Lead Discovery, Boehringer−Ingelheim Pharma GmbH & Co. KG, 88397 Biberach (Germany); and Centre for Molecular Design, University of Portsmouth, Mercantile House, Hampshire Terrace, Portsmouth, PO1 2EG, United Kingdom
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Parameterization of an empirical model for the prediction of n-octanol, alkane and cyclohexane/water as well as brain/blood partition coefficients. J Comput Aided Mol Des 2008; 23:105-11. [DOI: 10.1007/s10822-008-9243-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2007] [Accepted: 09/02/2008] [Indexed: 11/27/2022]
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Zhang Z, Zhang C, Su X, Ma M, Chen B, Yao S. Carrier-mediated liquid phase microextraction coupled with high performance liquid chromatography for determination of illicit drugs in human urine. Anal Chim Acta 2008; 621:185-92. [DOI: 10.1016/j.aca.2008.05.016] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2007] [Revised: 05/10/2008] [Accepted: 05/12/2008] [Indexed: 11/25/2022]
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Zerara M, Kretschmer R, Exner TE, Brickmann J. Parametrization of the molecular free energy surface density (MolFESD) for different solvents and brain-blood barrier partitioning. Chem Cent J 2008. [PMCID: PMC4236292 DOI: 10.1186/1752-153x-2-s1-p20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Muñoz-Muriedas J, Perspicace S, Bech N, Guccione S, Orozco M, Luque FJ. Hydrophobic Molecular Similarity from MST Fractional Contributions to the Octanol/water Partition Coefficient. J Comput Aided Mol Des 2005; 19:401-19. [PMID: 16231200 DOI: 10.1007/s10822-005-7928-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2005] [Accepted: 05/22/2005] [Indexed: 10/25/2022]
Abstract
The use of a recently proposed hydrophobic similarity index for the alignment of molecules and the prediction of their differences in biological activity is described. The hydrophobic similarity index exploits atomic contributions to the octanol/water transfer free energy, which are evaluated by means of the fractional partitioning scheme developed within the framework of the Miertus-Scrocco-Tomasi continuum model. Those contributions are used to define global and local measures of hydrophobic similarity. The suitability of this computational strategy is examined for two series of compounds (ACAT inhibitors and 5-HT3 receptor agonists), which are aligned to maximize the global hydrophobic similarity using a Monte Carlo-simulated protocol. Indeed, the concept of local hydrophobic similarity is used to explore structure-activity relationships in a series of COX-2 inhibitors. Inspection of the 3D distribution of hydrophobic/hydrophilic contributions in the aligned molecules is valuable to identify regions of very similar hydrophobicity, which can define pharmacophoric recognition patterns. Moreover, low similar regions permit to identify structural elements that modulate the differences in activity between molecules. Finally, the quantitative relationships found between the pharmacological activity and the hydrophobic similarity index points out that not only the global hydrophobicity, but its 3D distribution, is important to gain insight into the activity of molecules.
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Affiliation(s)
- Jordi Muñoz-Muriedas
- Departament de Fisicoquímica, Facultat de Farmàcia, Universitat de Barcelona, Av. Diagonal 643, 08028, Barcelona, Spain
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Ehresmann B, de Groot MJ, Clark T. Surface-Integral QSPR Models: Local Energy Properties. J Chem Inf Model 2005; 45:1053-60. [PMID: 16045301 DOI: 10.1021/ci050025n] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Surface-integral models based on AM1 semiempirical molecular orbital calculations are presented for the free energies of solvation in water, n-octanol, and chloroform and for the enthalpy of solvation in water. A parametrized function of four local properties calculated at the isodensity surface (the molecular electrostatic potential, local ionization energy, electron affinity, and polarizability) is integrated over the triangulated surface area to obtain the target quantity. The resulting models give results only slightly less accurate than those reported for parametrized generalized Born/polar surface area models despite relying only on gas-phase calculations. The water and octanol free-energy models were validated by calculating the water-octanol partition coefficient for a test set of organic compounds with moderate success. The models lead to a local solvation energy, which can be projected onto the molecular isodensity surface and provides insight into "hot" areas for solvation in water or the other solvents.
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Affiliation(s)
- Bernd Ehresmann
- Computer-Chemie-Centrum, Universität Erlangen-Nürnberg, Nägelsbachstrasse 25, 91052 Erlangen, Germany
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Abstract
The use of descriptors based on local properties calculated at the molecular surface for QSPR models is discussed. It is suggested that descriptors should be related to the physical theory of intermolecular interactions and the relationship between established surface-based descriptors and the fundamental types of intermolecular interaction is discussed. Descriptors based on local properties that do not encode the chemical constitution of the molecule directly are likely to provide less local QSPR models and favor scaffold hopping. The major disadvantage for surface-based descriptors is that they are difficult to interpret in the sense of relating predictions to the chemical composition of the molecule. This disadvantage must be alleviated by suitable model-interrogation techniques.
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Affiliation(s)
- Timothy Clark
- Computer-Chemie-Centrum, Universität Erlangen-Nürnberg, Nägelsbachstrasse 25, 91052 Erlangen, Germany.
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