INVESTIGADORES
DUCHOWICZ Pablo Roman
congresos y reuniones científicas
Título:
Introduction and Progress in linear QSAR/QSPR Modeling.
Autor/es:
MERCADER, A. G.; DUCHOWICZ, P. R.; FERNÁNDEZ, F. M.; CASTRO, E. A.
Lugar:
Universidad Iberoamericana, Ciudad de Mexico
Reunión:
Taller; 2007 NSF Pan-American Advanced Studies Institute on Sustainability & Green Chemistry; 2007
Institución organizadora:
American Chemical Society Education Division and ACS Green Chemistry Institute
Resumen:
The objective of QSAR (Quantitative Structure Activity Relationships) and QSPR
(Quantitative Structure Property Relationships) Theory is to predict properties or
biologic activities using the information that arises from the molecular structure. This
allows predicting properties and activities still not experimentally measured, even for
substances that do not exist because they have not been synthesized yet. [1]
The foundations of the theory relies in the fact that the property or activity of a
substance is solely determined by it¡¦s molecular structure. However as it can be seen in
Fig. 1. the arrow representing the direct link is broken because the relationship remains
unknown.
Fig. 1. the arrow representing the direct link is broken because the relationship remains
unknown.
Fig. 1. the arrow representing the direct link is broken because the relationship remains
unknown.
Fig. 1. the arrow representing the direct link is broken because the relationship remains
unknown.
it¡¦s molecular structure. However as it can be seen in
Fig. 1. the arrow representing the direct link is broken because the relationship remains
unknown.
Fig. 1. Foundations of QSAR/QSPR Theory
In order to reestablish this link we have to go around it. Our usual procedure goes as
follows:
á A set of substances with measured property or activity is obtained from the literature.A set of substances with measured property or activity is obtained from the literature.
á The molecules are divided in two sets, a calibration and a validation set.The molecules are divided in two sets, a calibration and a validation set.
á The structures of the compounds are drawn and pre-optimized with a Force Field
procedure included in Hyperchem version 6.03 [2], and after that the geometries are
further refined by means of a suitable semi empirical method.
procedure included in Hyperchem version 6.03 [2], and after that the geometries are
further refined by means of a suitable semi empirical method.
procedure included in Hyperchem version 6.03 [2], and after that the geometries are
further refined by means of a suitable semi empirical method.
procedure included in Hyperchem version 6.03 [2], and after that the geometries are
further refined by means of a suitable semi empirical method.
The structures of the compounds are drawn and pre-optimized with a Force Field
procedure included in Hyperchem version 6.03 [2], and after that the geometries are
further refined by means of a suitable semi empirical method.
á A pool of more than a thousand molecular descriptors is derived involving variables
of different types: constitutional, topological, geometrical, charge, etc., using the
software e-dragon available online.[3] The relevant aspects of the molecular structure
are therefore translated into the molecular descriptors through mathematical formulae
obtained from several theories, such as Chemical Graph Theory, Quantum
Mechanics, etc. [4,5]
of different types: constitutional, topological, geometrical, charge, etc., using the
software e-dragon available online.[3] The relevant aspects of the molecular structure
are therefore translated into the molecular descriptors through mathematical formulae
obtained from several theories, such as Chemical Graph Theory, Quantum
Mechanics, etc. [4,5]
of different types: constitutional, topological, geometrical, charge, etc., using the
software e-dragon available online.[3] The relevant aspects of the molecular structure
are therefore translated into the molecular descriptors through mathematical formulae
obtained from several theories, such as Chemical Graph Theory, Quantum
Mechanics, etc. [4,5]
of different types: constitutional, topological, geometrical, charge, etc., using the
software e-dragon available online.[3] The relevant aspects of the molecular structure
are therefore translated into the molecular descriptors through mathematical formulae
obtained from several theories, such as Chemical Graph Theory, Quantum
Mechanics, etc. [4,5]
A pool of more than a thousand molecular descriptors is derived involving variables
of different types: constitutional, topological, geometrical, charge, etc., using the
software e-dragon available online.[3] The relevant aspects of the molecular structure
are therefore translated into the molecular descriptors through mathematical formulae
obtained from several theories, such as Chemical Graph Theory, Quantum
Mechanics, etc. [4,5]
á Finally we come to the more difficult step in the process, this is finding the best
model by selecting those descriptors from the pool which are the most representatives
for the property under consideration This will be discussed in the following section
model by selecting those descriptors from the pool which are the most representatives
for the property under consideration This will be discussed in the following section
model by selecting those descriptors from the pool which are the most representatives
for the property under consideration This will be discussed in the following section
model by selecting those descriptors from the pool which are the most representatives
for the property under consideration This will be discussed in the following section
Finally we come to the more difficult step in the process, this is finding the best
model by selecting those descriptors from the pool which are the most representatives
for the property under consideration This will be discussed in the following section