VRI (Variable Resolution Invariants) is a new approach to quantitative structure–activity relations that makes use of three-dimensional features of molecules at different levels of spatial resolution as well as levels of resolution in atomic properties. These descriptors are independent of any numbering of the atoms of a molecule. They are also independent of rigid translation and rotation of a given conformer, which avoids problems with aligning different molecules or docking them with a receptor site model. Steric effects, stereospecificity, substituent effects, lipophilicity, and conformational flexibility are all dealt with in a single, natural formalism. Simple datasets can be fitted using a small number of descriptors corresponding to...
We report the application of a recently developed alignment-free 3D QSAR method [Crippen,G.M., J. Co...
Copyright © 2012 Naoyuki Asakawa et al. This is an open access article distributed under the Creativ...
In this chapter, we review our QSAR research in the prediction of toxicities, bioactivities and prop...
Quantitative Structure-Activity Relationship (QSAR) methods are a commonly used tool in the drug dis...
It has long been the aim of the pharmaceutical industry to speed the process of new drug development...
In the absence of an experimental receptor structure, biomedical research often relies on QSAR techn...
An intriguing question in 3D-QSAR lies on which conformation(s) to use when generating molecular des...
In the past several years of drug design, advanced high-throughput synthetic and analytical chemical...
Abstract Two dynamic techniques recently developed to account for conformational flexibility of chem...
Quantitative structure–activity relationship (QSAR) and quantitative structure–property relationship...
We have used a set of four local properties based on semiempirical molecular orbital calculations (e...
To address the problems associated with molecular conformations and alignments in the 3D-QSAR studie...
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Spri...
An R-group descriptor characterises the distribution of some atom-based property, such as elemental ...
Recent advances in High Throughput Screening (HTS) led to the rapid growth of chemical libraries of ...
We report the application of a recently developed alignment-free 3D QSAR method [Crippen,G.M., J. Co...
Copyright © 2012 Naoyuki Asakawa et al. This is an open access article distributed under the Creativ...
In this chapter, we review our QSAR research in the prediction of toxicities, bioactivities and prop...
Quantitative Structure-Activity Relationship (QSAR) methods are a commonly used tool in the drug dis...
It has long been the aim of the pharmaceutical industry to speed the process of new drug development...
In the absence of an experimental receptor structure, biomedical research often relies on QSAR techn...
An intriguing question in 3D-QSAR lies on which conformation(s) to use when generating molecular des...
In the past several years of drug design, advanced high-throughput synthetic and analytical chemical...
Abstract Two dynamic techniques recently developed to account for conformational flexibility of chem...
Quantitative structure–activity relationship (QSAR) and quantitative structure–property relationship...
We have used a set of four local properties based on semiempirical molecular orbital calculations (e...
To address the problems associated with molecular conformations and alignments in the 3D-QSAR studie...
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Spri...
An R-group descriptor characterises the distribution of some atom-based property, such as elemental ...
Recent advances in High Throughput Screening (HTS) led to the rapid growth of chemical libraries of ...
We report the application of a recently developed alignment-free 3D QSAR method [Crippen,G.M., J. Co...
Copyright © 2012 Naoyuki Asakawa et al. This is an open access article distributed under the Creativ...
In this chapter, we review our QSAR research in the prediction of toxicities, bioactivities and prop...