AVALIAÇÃO DE MÉTODOS QUÍMICO-QUÂNTICOS PARA A PREDIÇÃO DE PROPRIEDADES ELETRÔNICAS E ESTRUTURAIS

Autores

  • José Diogo de Lisboa Dutra Universidade Federal de Sergipe image/svg+xml
  • Wendel Augusto Lino de Jesus Melo Universidade Federal de Sergipe image/svg+xml
  • Ricardo de Oliveira Freire Universidade Federal de Sergipe image/svg+xml
  • Manoel Alves Machado Filho Southwest Bahia State University image/svg+xml

DOI:

https://doi.org/10.22481/exon.v10i2.20479

Palavras-chave:

Química Computacional, Interações Não Covalentes, Entalpia de Reação e de Formação, Métodos Semiempíricos Quânticos, Métodos ab initio, DFT

Resumo

O desenvolvimento da química computacional ocorreu, sobretudo, nos últimos 40-50 anos paralelamente ao desenvolvimento dos computadores. Dada a dimensão assumida pela química computacional nos dias atuais, é bastante comum a ocorrência de trabalhos em que a teoria complementa o experimento. Dessa forma, a teoria acaba fornecendo informações valiosas para o entendimento de fenômenos complicados de serem explicados apenas com base na observação. Em decorrência da vastidão de níveis de teoria existentes, esse artigo de revisão tem por objetivo apresentar, descrever e discutir a aplicação de diferentes tipos de métodos computacionais para estudar os mais variados problemas voltados à química. No artigo é feita uma descrição bastante breve sobre os diferentes níveis de teoria, apresentando quando necessário, as equações básicas que são pertinentes para o seu entendimento. Através de um levantamento bibliográfico atualizado, é possível obter informações importantes sobre quais métodos utilizar em determinadas situações. Dentre os dados que serão discutidos, ênfase é dada em entalpia de formação e de isomerização de sistema ligados covalentemente ou por interações não covalentes.

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Referências

Young, D.C., Computational Chemistry: A Practical Guide for Applying Techniques to Real-World Problems. 2001: John Wiley & Sons. 370.

Lewars, E.G., Computational Chemistry: Introduction to the Theory and Applications of Molecular and Quantum Mechanics2010: Springer.

Borden, W.T., Current Applications of Computational Chemistry in JACS-Molecules, Mechanisms, and Materials. Journal of the American Chemical Society, 2011. 133(38): p. 14841-14843.

Neese, F., et al., Accurate Theoretical Chemistry with Coupled Pair Models. Accounts of Chemical Research, 2009. 42(5): p. 641-648.

Schwabe, T., R. Huenerbein, and S. Grimme, Large Molecules - Small Energies: Challenges for Contemporary Quantum Chemistry. Synlett, 2010(10): p. 1431-1441.

Praveen, P.L. and D.P. Ojha, Structure and electronic absorption spectra of nematogenic alkoxycinnamic acids - a comparative study based on semiempirical and DFT methods. Journal of Molecular Modeling, 2012. 18(4): p. 1513-1521.

Zhao, X.Y., et al., Structural Assignment of 6-Oxy Purine Derivatives through Computational Modeling, Synthesis, X-ray Diffraction, and Spectroscopic Analysis. Journal of Physical Chemistry B, 2010. 114(20): p. 6968-6972.

Kong, J., P.V. Schleyer, and H.S. Rzepa, Successful Computational Modeling of Isobornyl Chloride Ion-Pair Mechanisms. Journal of Organic Chemistry, 2010. 75(15): p. 5164-5169.

Bae, Y.S., et al., Strategies for Characterization of Large-Pore Metal-Organic Frameworks by Combined Experimental and Computational Methods. Chemistry of Materials, 2009. 21(20): p. 4768-4777.

Nakamura, T., A. Takegami, and M. Abe, Generation and Intermolecular Trapping of 1,2-Diaza-4-silacyclopentane-3,5-diyls in the Denitrogenation of 2,3,5,6-Tetraaza-7-silabicyclo 2.2.1 hept-2-ene: An Experimental and Computational Study. Journal of Organic Chemistry, 2010. 75(6): p. 1956-1960.

de Souza, M.A.F., et al., Selectivity and Mechanisms Driven by Reaction Dynamics: The Case of the Gas-Phase OH-+CH3ONO2 Reaction. Journal of the American Chemical Society, 2012. 134(46): p. 19004-19010.

Mu, X.J., et al., Experimental and Computational Studies Reveal an Alternative Supramolecular Structure for Fmoc-Dipeptide Self-Assembly. Biomacromolecules, 2012. 13(11): p. 3562-3571.

Duart, M.J., et al., New potential antihistaminic compounds. Virtual combinatorial chemistry, computational screening, real synthesis, and pharmacological evaluation. Journal of Medicinal Chemistry, 2005. 48(4): p. 1260-1264.

Szabo, A. and N.S. Ostlund, Modern Quantum Chemistry: Introduction to Advanced Electronic Structure Theory1996: Dover Publications, Incorporated.

Cramer, C.J., Essentials of Computational Chemistry: Theories and Models. 2 ed2004, New Yorks: Jonh Wiley & Sons. 596.

Simas, A.M. and G.B. Rocha, Métodos Semi-empíricos de Estrutura Eletrônica em Química Quântica. In Métodos de Química Teórica E Modelagem MolecularNelson H. Morgon; Kaline Coutinho. (Org.). Métodos de Química Teórica e Modelagem Molecular2007, São Paulo, SP: Editora Livraria da Física.

Jensen, F., Introduction to Computational Chemistry1999, New York: John Wiley & Sons. 429.

Alcácer, L., Introdução à Química Quântica Computacional2007, Portugal: Ist Press.

Roothaan, C.C.J., A Study of 2-Center Integrals Useful in Calculations on Molecular Structure.1. Journal of Chemical Physics, 1951. 19(12): p. 1445-1458.

Møller, C. and M.S. Plesset, Note on an Approximation Treatment for Many-Electron Systems. Physical Review, 1934. 46(7): p. 618-622.

Reynolds, C.H., Semiempirical MO methods: the middle ground in molecular modeling. Theochem-Journal of Molecular Structure, 1997. 401(3): p. 267-277.

Stewart, J.J.P., Rewiews in Computational Chemistry, Ed. K. B. Lipkowitz and D. B. Boyd Vol. Vol. 1. 1990, New York: VCH Publishing.

Pople, J.A., D.P. Santry, and G.A. Segal, Approximate Self-Consistent Molecular Orbital Theory. I. Invariant Procedures. Journal of Chemical Physics, 1965. 43(10): p. S129-+.

Pople, J.A. and G.A. Segal, Approximate Self-Consistent Molecular Orbital Theory .2. Calculations with Complete Neglect of Differential Overlap. Journal of Chemical Physics, 1965. 43(10): p. S136-+.

Pople, J.A. and G.A. Segal, Approximate Self-Consistent Molecular Orbital Theory. 3. CNDO Results for AB2 and AB3 Systems. Journal of Chemical Physics, 1966. 44(9): p. 3289-&.

Pople, J.A., D.l. Beveridg, and P.A. Dobosh, Approximate Self-consistent Molecular-Orbital Theory. 5. Intermediate Neglect of Differential Overlap. Journal of Chemical Physics, 1967. 47(6): p. 2026-&.

Gordon, M.S. and J.A. Pople, Approximate Self-Consistent Molecular-Orbital Theory. 6. INDO Calculated Equilibrium Geometries. Journal of Chemical Physics, 1968. 49(10): p. 4643-&.

Santry, D.P. and G.A. Segal, Approximate Self-Consistent Molecular Orbital Theory. 4. Calculations on Molecules Including Elements Sodium through Chlorine. Journal of Chemical Physics, 1967. 47(1): p. 158-&.

Leach, A.A., Molecular Modelling Principles and Aplications1996, London: Longman.

Baird, N.C. and M.J.S. Dewar, Round States of Sigma-Bonded Molecules. 4. MINDO Method and its Application to Hydrocarbons. Journal of Chemical Physics, 1969. 50(3): p. 1262-&.

Ridley, J.E. and M.C. Zerner, Triplet-States Via Intermediate Neglect of Differential Overlap - Benzene, Pyridine and Diazines. Theoretica Chimica Acta, 1976. 42(3): p. 223-236.

Dewar, M.J.S. and Haselbac.E, Ground States of Sigma-Bonded Molecules. 9. MINDO-2 Method. Journal of the American Chemical Society, 1970. 92(3): p. 590-+.

Bingham, R.C., M.J.S. Dewar, and D.H. Lo, Ground-States of Molecules. 25. MINDO-3 - Improved Version of MINDO Semiempirical SCF-MO Method. Journal of the American Chemical Society, 1975. 97(6): p. 1285-1293.

Dewar, M.J.S. and W. Thiel, Ground-States of Molecules. 38. MNDO Method - Approximations and Parameters. Journal of the American Chemical Society, 1977. 99(15): p. 4899-4907.

Dewar, M.J.S., et al., The Development and Use of Quantum-Mechanical Molecular-models. 76. AM1 - A New General-Purpose Quantum-Mechanical Molecular-Model. Journal of the American Chemical Society, 1985. 107(13): p. 3902-3909.

Stewart, J.J.P., Optimization of Parameters for Semiempirical Methods. 1. Method. Journal of Computational Chemistry, 1989. 10(2): p. 209-220.

Stewart, J.J.P., Optimization of Parameters for Semiempirical Methods. 2. Applications. Journal of Computational Chemistry, 1989. 10(2): p. 221-264.

Rocha, G.B., et al., RM1: A reparameterization of AM1 for H, C, N, O, P, S, F, Cl, Br, and I. Journal of Computational Chemistry, 2006. 27(10): p. 1101-1111.

Stewart, J.J.P., Optimization of parameters for semiempirical methods V: Modification of NDDO approximations and application to 70 elements. Journal of Molecular Modeling, 2007. 13(12): p. 1173-1213.

Stewart, J.J.P., Optimization of parameters for semiempirical methods VI: more modifications to the NDDO approximations and re-optimization of parameters. Journal of Molecular Modeling, 2013. 19(1): p. 1-32.

Weber, W. and W. Thiel, Orthogonalization corrections for semiempirical methods. Theoretical Chemistry Accounts, 2000. 103(6): p. 495-506.

Kollmar, C. and M.C. Bohm, An Analysis of the Zero Differential-Overlap Approximation - Towards An Improved Semiempirical MO Method Beyond It. Theoretica Chimica Acta, 1995. 92(1): p. 13-47.

Kryachko, E.S. and E.V. Ludeña, Energy Density Functional Theory of Many-Electrons Systems1990, Dordrecht: Kuwer Academic Publishers.

Hohenberg, P. and W. Kohn, Inhomogeneous Electron Gas. Physical Review B, 1964. 136(3B): p. B864-&.

Kohn, W. and L.J. Sham, Self-Consistent Equations Including Exchange and Correlation Effects. Physical Review, 1965. 140(4A): p. 1133-&.

Sham, L.J. and W. Kohn, 1-Particle Properties of an Inhomogeneous Interacting Electron Gas. Physical Review, 1966. 145(2): p. 561-&.

Sholl, D.S. and J.A. Steckel, Density Functional Theory: A Practical Introduction2009, New Jersey: John Wiley & Sons.

Capelle, K., A bird's-eye view of density-functional theory. Brazilian Journal of Physics, 2006. 36(4A): p. 1318-1343.

Lee, C.T., W.T. Yang, and R.G. Parr, Development of the Colle-Salvetti Correlation-Energy Formula into a Functional of the Electron-Density. Physical Review B, 1988. 37(2): p. 785-789.

Grimme, S., Accurate Description of Van Der Waals Complexes by Density Functional Theory Including Empirical Corrections. Journal of Computational Chemistry, 2004. 25(12): p. 1463-1473.

McNamara, J.P. and I.H. Hillier, Semi-Empirical Molecular Orbital Methods Including Dispersion Corrections for the Accurate Prediction of the Full Range of Intermolecular Interactions in Biomolecules. Physical Chemistry Chemical Physics, 2007. 9(19): p. 2362-2370.

Jurecka, P., et al., Benchmark Database of Accurate (MP2 And CCSD(T) Complete Basis Set Limit) Interaction Energies of Small Model Complexes, DNA Base Pairs, and Amino Acid Pairs. Physical Chemistry Chemical Physics, 2006. 8(17): p. 1985-1993.

Rezac, J., et al., Semiempirical Quantum Chemical PM6 Method Augmented by Dispersion and H-Bonding Correction Terms Reliably Describes Various Types of Noncovalent Complexes. Journal of Chemical Theory and Computation, 2009. 5(7): p. 1749-1760.

Korth, M., et al., A Transferable H-Bonding Correction for Semiempirical Quantum-Chemical Methods. Journal of Chemical Theory and Computation, 2010. 6(1): p. 344-352.

Korth, M., Third-Generation Hydrogen-Bonding Corrections for Semiempirical QM Methods and Force Fields. Journal of Chemical Theory and Computation, 2010. 6(12): p. 3808-3816.

Rezac, J. and P. Hobza, Advanced Corrections of Hydrogen Bonding and Dispersion for Semiempirical Quantum Mechanical Methods. Journal of Chemical Theory and Computation, 2012. 8(1): p. 141-151.

Rezac, J., K.E. Riley, and P. Hobza, S66: A Well-balanced Database of Benchmark Interaction Energies Relevant to Biomolecular Structures. Journal of Chemical Theory and Computation, 2011. 7(8): p. 2427-2438.

Grimme, S., et al., A Consistent and Accurate Ab Initio Parametrization of Density Functional Dispersion Correction (DFT-D) for the 94 Elements H-Pu. Journal of Chemical Physics, 2010. 132(15).

Komatsu, K., M. Murata, and Y. Murata, Encapsulation of molecular hydrogen in fullerene C 60 by organic synthesis. Science, 2005. 307(5707): p. 238-240.

Kurotobi, K. and Y. Murata, A Single Molecule of Water Encapsulated in Fullerene C-60. Science, 2011. 333(6042): p. 613-616.

Chen, Z.F. and W. Thiel, Performance of semiempirical methods in fullerene chemistry: relative energies and nucleus-independent chemical shifts. Chemical Physics Letters, 2003. 367(1-2): p. 15-25.

Xu, L., W. Cai, and X. Shao, Performance of the semiempirical AM1, PM3, MNDO, and tight-binding methods in comparison with DFT method for the large fullerenes C-116-C-120. Journal of Molecular Structure-Theochem, 2007. 817(1-3): p. 35-41.

Rayne, S. and K. Forest, Gas phase isomerization enthalpies of organic compounds: A semiempirical, density functional theory, and ab initio post-Hartree-Fock theoretical study. Journal of Molecular Structure-Theochem, 2010. 948(1-3): p. 102-107.

Markovic, Z., et al., PM6 and DFT study of free radical scavenging activity of morin. Food Chemistry, 2012. 134(4): p. 1754-1760.

Stewart, J.J.P., Comparison of the accuracy of semiempirical and some DFT methods for predicting heats of formation. Journal of Molecular Modeling, 2004. 10(1): p. 6-12.

Budyka, M.F. and I.V. Oshkin, Comparative Semiempirical and DFT Study of Styrylnaphthalenes and Styrylquinolines and Their Photocyclization Products. International Journal of Quantum Chemistry, 2011. 111(14): p. 3673-3680.

Tirado-Rives, J. and W.L. Jorgensen, Performance of B3LYP density functional methods for a large set of organic molecules. Journal of Chemical Theory and Computation, 2008. 4(2): p. 297-306.

Frison, G. and G. Ohanessian, A comparative study of semiempirical, ab initio, and DFT methods in evaluating metal-ligand bond strength, proton affinity, and interactions between first and second shell ligands in Zn-biomimetic complexes. Journal of Computational Chemistry, 2008. 29(3): p. 416-433.

Wachters, A.J., Gaussian Basis Set for Molecular Wavefunctions Containing Third-Row Atoms. Journal of Chemical Physics, 1970. 52(3): p. 1033-&.

Derosa, P.A., A Combined Semiempirical-DFT Study of Oligomers Within the Finite-Chain Approximation, Evolution from Oligomers to Polymers. Journal of Computational Chemistry, 2009. 30(8): p. 1220-1228.

Lehn, J.M., Perspectives in Supramolecular Chemistry - from Molecular Recognition Towards Molecular Information-Processing and Self-Organization. Angewandte Chemie-International Edition in English, 1990. 29(11): p. 1304-1319.

Balzani, V., et al., From a Molecular to a Supramolecular Photochemistry. Coordination Chemistry Reviews, 1993. 125(1-2): p. 75-88.

Newcomb, T.P., et al., Designed Synthesis of a radical Cation Salt of Ni(TMP) - Structural, Magnetic, and Charge-Transport Properties of bis 5,10,15,20-tetramethylporphyrinato)nickel(ii) hexafluorophosphate. Journal of the American Chemical Society, 1989. 111(18): p. 7078-7084.

Hobza, P. and K. Muller-Dethlefs, Non-Covalent Interactions: RSC Theoretical and Computational Chemistry Series2009, Cambridge: The Royal Society of Chemistry.

Wolff, M.E., Burger's medicinal chemistry and drug discovery1995, Nova Iorque: John Wiey & Sons.

Taylor, J.B. and P.D. Kennewell, Introductory medicinal chemistry1981, Nova Iorque: John Wiley & Sons.

Rossi, M., et al., Secondary Structure of Ac-Ala(n)-LysH(+) Polyalanine Peptides (n=5, 10, 15) in Vacuo: Helical or Not? Journal of Physical Chemistry Letters, 2010. 1(24): p. 3465-3470.

Hua, S., et al., Cooperativity in Long alpha- and 3(10)-Helical Polyalanines: Both Electrostatic and van der Waals Interactions Are Essential. Journal of Physical Chemistry B, 2011. 115(39): p. 11462-11469.

Tkatchenko, A., et al., Unraveling the Stability of Polypeptide Helices: Critical Role of van der Waals Interactions. Physical Review Letters, 2011. 106(11).

Lupan, A., et al., Performance comparison of computational methods for modeling alpha-helical structures. Journal of Molecular Modeling, 2013. 19(1): p. 193-203.

Korth, M. and W. Thiel, Benchmarking Semiempirical Methods for Thermochemistry, Kinetics, and Noncovalent Interactions: OMx Methods Are Almost As Accurate and Robust As DFT-GGA Methods for Organic Molecules. Journal of Chemical Theory and Computation, 2011. 7(9): p. 2929-2936.

Goerigk, L. and S. Grimme, Efficient and Accurate Double-Hybrid-Meta-GGA Density Functionals-Evaluation with the Extended GMTKN30 Database for General Main Group Thermochemistry, Kinetics, and Noncovalent Interactions. Journal of Chemical Theory and Computation, 2011. 7(2): p. 291-309.

Risthaus, T. and S. Grimme, Benchmarking of London Dispersion-Accounting Density Functional Theory Methods on Very Large Molecular Complexes. Journal of Chemical Theory and Computation, 2013. 9(3): p. 1580-1591.

Hobza, P., Calculations on Noncovalent Interactions and Databases of Benchmark Interaction Energies. Accounts of Chemical Research, 2012. 45(4): p. 663-672.

Hostas, J., J. Rezac, and P. Hobza, On the performance of the semiempirical quantum mechanical PM6 and PM7 methods for noncovalent interactions. Chemical Physics Letters, 2013. 568: p. 161-166.

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Publicado

2019-12-30

Como Citar

DUTRA, José Diogo de Lisboa; MELO, Wendel Augusto Lino de Jesus; FREIRE, Ricardo de Oliveira; MACHADO FILHO, Manoel Alves. AVALIAÇÃO DE MÉTODOS QUÍMICO-QUÂNTICOS PARA A PREDIÇÃO DE PROPRIEDADES ELETRÔNICAS E ESTRUTURAIS. Exatas Online, [S. l.], v. 10, n. 2, p. 95–127, 2019. DOI: 10.22481/exon.v10i2.20479. Disponível em: https://periodicos2.uesb.br/exon/article/view/20479. Acesso em: 2 out. 2026.