2014
Flavio, Ballante
Application of Medicinal Chemistry Methods on Different Classes of Drugs PhD Thesis
Sapienza University of Rome, 2014.
Abstract | Links | BibTeX | Tags: 3-D QSAutogrid/R, 3D QSAR, Biochemistry, BSAO, Chemoinformatics, Chemometrics, COMBINEr, CoMFA, DABO, DockAccessor, Docking Assessment, HCV NS5B, HDAC, HIV-1, HIV-RT, HSP90, HUVEC, Ligand-Based Design, Molecular Docking, Molecular Modeling, MPGRS, NNRTIs, Opioid-Receptor Antagonists, Organic Chemistry, Pharmacophoric Model, PLS, Tuberculosis, VEGFR-2, Virtual Screening
@phdthesis{Ballante2014b,
title = {Application of Medicinal Chemistry Methods on Different Classes of Drugs},
author = { Ballante Flavio},
editor = {PADIS},
url = {http://hdl.handle.net/11573/918780 },
year = {2014},
date = {2014-01-27},
address = {Department of Chemistry and Tecnology of Drugs},
school = {Sapienza University of Rome},
abstract = {The present doctoral thesis is the result of the work carried out during the three years of my PhD scholarship at the Rome Center for Molecular Design laboratory (RCMD, Department of Chemistry and Drug Technologies, Sapienza University of Rome), under the supervision of Prof. Rino Ragno. The research activity was focused mainly on the design, optimization and application of computational strategies to derive quantitative structure-activity relationships (QSAR, 3-D QSAR, and COMBINE) on different molecular classes of current interest, such as: opioid receptor antagonists (OPAs), Hepatitis C Virus NS5B-Polymerase Inhibitors (NS5B-NNIs), Hystone Deacetylase Inhibitors (HDACIs), Anti- tubercular agents, vascular endothelial growth factor receptor-2 (VEGFR-2) inhibitors, HSP90 inhibitors, HIV-1 reverse transcriptase inhibitors (NNRTIs), Bovine Serum Amine Oxidase (BSAO) substrates, etc... Moreover two research periods abroad were performed: the first framed in a LLP Erasmus program collaboration, was conducted for six months at the Laboratoire d'Ingénierie et Moléculaire Pharmacologique Biochimie (LIMBP) of the Université de Lorraine Metz (France), directed by Prof. Gilbert Kirsch, and characterized by the application of organic synthesis to obtain new thienopyrimidinone derivatives as potential inhibitors of vascular endothelial growth factor receptor-2 (VEGFR-2); the second took place, for three months, at the Department of Biochemistry and Molecular Biophysics in Washington University School of Medicine in Saint Louis (MO, USA), under the supervision of Prof. Garland R. Marshall, investigating the activity profile of new Histone Deacetylases (HDACs) inhibitors by the application of the Mobility Shift Assay Technology. Main purpose of this doctoral thesis is to highlight the activities carried out in the different research projects, the applied methodologies and the obtained results. The text starts describing those studies whose results were published in scientific journals (chapters I-VI): the author decided to omit some procedural details, completely reported in the published papers, that would make the text too long, tedious and redundant; therefore readers who want to delve these aspects can also refer to Chapter XII in which is possible to read the original papers; on the contrary for studies that have not yet been published, as those characterizing the Chapters VII and VIII, discussion is adequately detailed. Chapters IX and X report the scientific activities carried out in France and in USA respectively; Chapter XI summarizes all the scientific activities accomplished during the entire PhD course, whereas Chapter XII, as mentioned, contains the published articles.},
keywords = {3-D QSAutogrid/R, 3D QSAR, Biochemistry, BSAO, Chemoinformatics, Chemometrics, COMBINEr, CoMFA, DABO, DockAccessor, Docking Assessment, HCV NS5B, HDAC, HIV-1, HIV-RT, HSP90, HUVEC, Ligand-Based Design, Molecular Docking, Molecular Modeling, MPGRS, NNRTIs, Opioid-Receptor Antagonists, Organic Chemistry, Pharmacophoric Model, PLS, Tuberculosis, VEGFR-2, Virtual Screening},
pubstate = {published},
tppubtype = {phdthesis}
}
2012
Flavio, Ballante; Rino, Ragno
3-D QSAutogrid/R: An Alternative Procedure To Build 3-D QSAR Models. Methodologies and Applications Journal Article
In: Journal of Chemical Information and Modeling, 52 (6), pp. 1674, 2012.
Abstract | Links | BibTeX | Tags: 3-D QSAutogrid/R, 3D QSAR, Chemoinformatics, Chemometrics, CoMFA, HCV NS5B, Molecular Modeling, MPGRS, Opioid-Receptor Antagonists, PLS
@article{Ballante2012,
title = {3-D QSAutogrid/R: An Alternative Procedure To Build 3-D QSAR Models. Methodologies and Applications},
author = { Ballante Flavio and Ragno Rino},
editor = {American Chemical Society},
url = {http://pubs.acs.org/doi/abs/10.1021/ci300123x},
doi = {10.1021/ci300123x},
year = {2012},
date = {2012-06-25},
journal = {Journal of Chemical Information and Modeling},
volume = {52},
number = {6},
pages = {1674},
abstract = {Since it first appeared in 1988 3-D QSAR has proved its potential in the field of drug design and activity prediction. Although thousands of citations now exist in 3-D QSAR, its development was rather slow with the majority of new 3-D QSAR applications just extensions of CoMFA. An alternative way to build 3-D QSAR models, based on an evolution of software, has been named 3-D QSAutogrid/R and has been developed to use only software freely available to academics. 3-D QSAutogrid/R covers all the main features of CoMFA and GRID/GOLPE with implementation by multiprobe/multiregion variable selection (MPGRS) that improves the simplification of interpretation of the 3-D QSAR map. The methodology is based on the integration of the molecular interaction fields as calculated by AutoGrid and the R statistical environment that can be easily coupled with many free graphical molecular interfaces such as UCSF-Chimera, AutoDock Tools, JMol, and others. The description of each R package is reported in detail, and, to assess its validity, 3-D QSAutogrid/R has been applied to three molecular data sets of which either CoMFA or GRID/GOLPE models were reported in order to compare the results. 3-D QSAutogrid/R has been used as the core engine to prepare more that 240 3-D QSAR models forming the very first 3-D QSAR server (www.3d-qsar.com) with its code freely available through R-Cran distribution.},
keywords = {3-D QSAutogrid/R, 3D QSAR, Chemoinformatics, Chemometrics, CoMFA, HCV NS5B, Molecular Modeling, MPGRS, Opioid-Receptor Antagonists, PLS},
pubstate = {published},
tppubtype = {article}
}