Laboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá, Brazil;Postgraduate Program in Biotechnology and Biodiversity-Network BIONORTE, Campus Universitário Marco Zero, Macapá, Brazil; Laboratory of Drug Research, School of Pharmaceutical Sciences, Federal University of Amapá, Macapá, Brazil
Laboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá, Brazil
Laboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá, Brazil
Laboratory of Statistical and Computational Modeling, University of the State of Amapá, Macapá, Brazil
Laboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá, Brazil
Laboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá, Brazil; Laboratory of Drug Research, School of Pharmaceutical Sciences, Federal University of Amapá, Macapá, Brazil
Laboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá, Brazil;Institute of Technology, Federal University of Pará, Belém, Brazil
Laboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá, Brazil
Laboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá, Brazil;Postgraduate Program in Biotechnology and Biodiversity-Network BIONORTE, Campus Universitário Marco Zero, Macapá, Brazil
Laboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá, Brazil;Postgraduate Program in Biotechnology and Biodiversity-Network BIONORTE, Campus Universitário Marco Zero, Macapá, Brazil;Laboratory of Drug Research, School of Pharmaceutical Sciences, Federal University of Amapá, Macapá, Brazil
Copyright © 2014 Cleydson B. R. Santos, Cleison C. Lobato, Francinaldo S. Braga, Sílvia S. S. Morais, Cesar F. Santos, Caio P. Fernandes, Davi S. B. Brasil, Lorane I. S. Hage-Melim, Williams J. C. Macêdo, José C. T. Carvalho et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Santos, C. , Lobato, C. , Braga, F. , Morais, S. , Santos, C. , Fernandes, C. , Brasil, D. , Hage-Melim, L. , Macêdo, W. and Carvalho, J. (2014) Application of Hartree-Fock Method for Modeling of Bioactive Molecules Using SAR and QSPR.
Computational Molecular Bioscience,
4, 1-24. doi:
10.4236/cmb.2014.41001.