Molecules structure, QSAR modeling

QSAR models Quantitative Structure-Activity Relationship-statistical models that relate biological activity to features of a molecule... 

In Table 5.1, we present a list of the main physicochemical and structural properties associated with the descriptors included in the 2D QSAR models discussed above. Of course, we did some generalizations in an attempt to refer different parameters and descriptors to the same property, but the effort was devoted at identifying the smallest number of significant features positively or negatively correlated to the hERG blockade by small molecules. Examining the properties... 

Poor intestinal absorption of a potential drug molecule can be related to poor physicochemical properties and/or poor membrane permeation. Poor membrane permeation could be due to low paracellular or transcellular permeability or the net result of efflux from transporter proteins including MDRl (P-gp) or MRP proteins situated in the intestinal membrane. Cell lines with only one single efflux transporter are currently engineered for in vitro permeability assays to get suitable data for reliable QSAR models. In addition, efforts to gain deeper insight into P-gp and ABC on a structural basis are going on [131, 132]. 

Quantitative Structure-Activity Relationship models are used increasingly in chemical data mining and combinatorial library design [5, 6]. For example, three-dimensional (3-D) stereoelectronic pharmacophore based on QSAR modeling was used recently to search the National Cancer Institute Repository of Small Molecules [7] to find new leads for inhibiting HIV type 1 reverse transcriptase at the nonnucleoside binding site [8]. A descriptor pharmacophore concept was introduced by us recently [9] on the basis of variable selection QSAR the descriptor pharmacophore is defined as a subset of... 

Once a QSAR model is constructed, it must be validated using the external test set. The data points in the test set should not appear in the training set. There are two approaches to improve the prediction accuracy for a given QSAR model. The first approach utilized the concept of "the domain of applicability," which is used to estimate the uncertainty in prediction of a particular molecule based on how similar it is to the compound used to build the model. To make a more accurate prediction for a given molecule in the test set, the structurally similar compounds in the training set are used to construct model and that model is used to make the prediction. In some cases, the domain similarity is measured using molecular descriptor similarity, rather than the structural similarity. The... 

The underlying theory of Quantitative Structure-Activity Relationship (QSAR) is that biological activity is directly related to molecular structure. Therefore, molecules with similar structure will possess similar bioactivities for similar proteins/receptors/enzymes and the changes in structure will be represented through the changes in the bioactivities. The best general description of a QSAR model is... 

The methodology of 3D-QSAR can be robust for constructing QSAR models utilizing the structure of the compounds and how they will interact with the receptor however, there are several open questions that can complicate any application of this paradigm. The first and most prominent question is Which conformation of the molecule should be used This problem is considered... 

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