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Application of Hartree-Fock Method for Modeling of Bioactive Molecules Using SAR and QSPR

Authors :
Williams Jorge da Cruz Macêdo
Cleydson B. R. Santos
Caio P. Fernandes
Cleison C. Lobato
Sílvia Simone dos Santos de Morais
Davi do Socorro Barros Brasil
José Carlos Tavares Carvalho
César F. Santos
Francinaldo Sarges Braga
Lorane Izabel da Silva Hage-Melim
Source :
Computational Molecular Bioscience. :1-24
Publication Year :
2014
Publisher :
Scientific Research Publishing, Inc., 2014.

Abstract

The central importance of quantum chemistry is to obtain solutions of the Schrodinger equation for the accurate determination of the properties of atomic and molecular systems that occurred from the calculation of wave functions accurate for many diatomic and polyatomic molecules, us- ing Self Consistent Field method (SCF). The application of quantum chemical methods in the study and planning of bioactive compounds has become a common practice nowadays. From the point of view of planning it is important to note, when it comes to the use of molecular modeling, a collec- tive term that refers to methods and theoretical modeling and computational techniques to mimic the behavior of molecules, not intend to reach a bioactive molecule simply through the use of computer programs. The choice of method for energy minimization depends on factors related to the size of the molecule, parameters of availability, stored data and computational resources. Mo- lecular models generated by the computer are the result of mathematical equations that estimate the positions and properties of the electrons and nuclei, the calculations exploit experimentally, the characteristics of a structure, providing a new perspective on the molecule. In this work we show that studies of Highest Occupied Molecular Orbital Energy (HOMO), Low Unoccupied Mole- cular Orbital Energy (LUMO) and Map of molecular electrostatic potential (MEP) using Hatree- Fock method with different basis sets (HF/3-21G*, HF/3-21G**, HF/6-31G, HF/6-31G*, HF/ * Corresponding author.

Details

ISSN :
21653453 and 21653445
Database :
OpenAIRE
Journal :
Computational Molecular Bioscience
Accession number :
edsair.doi...........aca1fa376c3ae88382493495f0251c89
Full Text :
https://doi.org/10.4236/cmb.2014.41001