We report the application of a recently developed alignment-free 3D QSAR method [Crippen,G.M., J. Comput. Chem., 16 (1995) 486] to a benchmark-type problem. The test systeminvolves the binding of 31 steroid compounds to two kinds of human carrier protein. Themethod used not only allows for arbitrary binding modes, but also avoids the problems oftraditional least-squares techniques with regard to the implicit neglect of informative outlyingdata points. It is seen that models of considerable predictive power can be obtained even witha very vague binding site description. Underlining a systematic, but usually ignored, problemof the QSAR approach, there is not one unique type of model but, rather, an entire manifoldof distinctly different model...
To address the problems associated with molecular conformations and alignments in the 3D-QSAR studie...
Accurate in silico models for the quantitative prediction of the activity of G protein-coupled recep...
A commonly occurring problem in drug development is that the binding affinities for a few compounds ...
The QSAR and docking studies were performed on fifty seven steroids with binding affinities for cort...
The study of the interaction between a ligand and its receptor requires to know the structure of the...
Steroid derivatives show a complex interaction with P-glycoprotein (Pgp). To determine the essential...
In the search for new drugs, it often occurs that the binding affinities of several compounds to a c...
We describe a new method, Compass, for predicting the biological activities of molecules based on th...
Quantitative Structure-Activity Relationship (QSAR) methods are a commonly used tool in the drug dis...
Three-dimensional quantitative structure–activity relationships (3D-QSAR) analyses are methods corre...
Copyright © 2012 Naoyuki Asakawa et al. This is an open access article distributed under the Creativ...
Many 3D QSAR methods require the alignment of the molecules in a dataset, which can require a fair a...
In drug design, often enough, no structural information on a particular receptor protein is availabl...
Background: Computational (in silico) methods, such as quantitative structure-activity relationships...
QSAR-studies of such classes of the organic compounds as steroids, are important because they can e...
To address the problems associated with molecular conformations and alignments in the 3D-QSAR studie...
Accurate in silico models for the quantitative prediction of the activity of G protein-coupled recep...
A commonly occurring problem in drug development is that the binding affinities for a few compounds ...
The QSAR and docking studies were performed on fifty seven steroids with binding affinities for cort...
The study of the interaction between a ligand and its receptor requires to know the structure of the...
Steroid derivatives show a complex interaction with P-glycoprotein (Pgp). To determine the essential...
In the search for new drugs, it often occurs that the binding affinities of several compounds to a c...
We describe a new method, Compass, for predicting the biological activities of molecules based on th...
Quantitative Structure-Activity Relationship (QSAR) methods are a commonly used tool in the drug dis...
Three-dimensional quantitative structure–activity relationships (3D-QSAR) analyses are methods corre...
Copyright © 2012 Naoyuki Asakawa et al. This is an open access article distributed under the Creativ...
Many 3D QSAR methods require the alignment of the molecules in a dataset, which can require a fair a...
In drug design, often enough, no structural information on a particular receptor protein is availabl...
Background: Computational (in silico) methods, such as quantitative structure-activity relationships...
QSAR-studies of such classes of the organic compounds as steroids, are important because they can e...
To address the problems associated with molecular conformations and alignments in the 3D-QSAR studie...
Accurate in silico models for the quantitative prediction of the activity of G protein-coupled recep...
A commonly occurring problem in drug development is that the binding affinities for a few compounds ...