The correlation between two different sets of chemical descriptors for the same heterogeneous set of molecules was investigated at both local and global levels. The two descriptions were well correlated at the global level, whereas they showed different characteristics on the detailed scale. This result has important consequences for both combinatorial chemistry strategies and QSAR analyses of congeneric series. It implies that the “maximal diversity ” optimization programs are largely independent from the type of chemical descriptors only in large ensembles of molecules, but not in individual series. On the other hand, the general isomorphism between different chemical descriptions may give rise, for QSAR analyses of congeneric series, to ...
The aim of the present paper is to present the methodology of the molecular descriptors family (MDF)...
Chemical similarity between molecules, is a key concept in drug design and drug discovery. The advan...
© 2014 Sushko et al.; licensee Springer. Background: QSAR is an established and powerful method for ...
Abstract: The age old paradigm of quantitative structure-activity relationship (QSAR) is the congene...
This thesis develops an integrated methodology based on the desirability index and QSAR models to vi...
This paper commences with a brief introduction to modern techniques for the computational analysis o...
The concept of molecular similarity is one of the most central in the fields of predictive toxicolog...
Thesis (M.S.)--University of Kansas, Electrical Engineering and Computer Science, 2007.Despite great...
It is postulated that the degradation of species diversity results in information loss or entropy in...
ABSTRACT: Quantitative structure–activity relationships (QSARs) and quantitative structure–property ...
The concept of molecular similarity is one of the most central in the fields of predictive toxicolog...
La compétition entre les grands groupes pharmaceutiques dans la recherche de nouvelles substances ac...
In this work, performance of five nature-inspired optimization algorithms, genetic algorithm (GA), p...
BACKGROUND: QSAR is an established and powerful method for cheap in silico assessment of physicochem...
Combinatorial chemistry has emerged as a tool to circumvent a major problem of pharmaceutical indust...
The aim of the present paper is to present the methodology of the molecular descriptors family (MDF)...
Chemical similarity between molecules, is a key concept in drug design and drug discovery. The advan...
© 2014 Sushko et al.; licensee Springer. Background: QSAR is an established and powerful method for ...
Abstract: The age old paradigm of quantitative structure-activity relationship (QSAR) is the congene...
This thesis develops an integrated methodology based on the desirability index and QSAR models to vi...
This paper commences with a brief introduction to modern techniques for the computational analysis o...
The concept of molecular similarity is one of the most central in the fields of predictive toxicolog...
Thesis (M.S.)--University of Kansas, Electrical Engineering and Computer Science, 2007.Despite great...
It is postulated that the degradation of species diversity results in information loss or entropy in...
ABSTRACT: Quantitative structure–activity relationships (QSARs) and quantitative structure–property ...
The concept of molecular similarity is one of the most central in the fields of predictive toxicolog...
La compétition entre les grands groupes pharmaceutiques dans la recherche de nouvelles substances ac...
In this work, performance of five nature-inspired optimization algorithms, genetic algorithm (GA), p...
BACKGROUND: QSAR is an established and powerful method for cheap in silico assessment of physicochem...
Combinatorial chemistry has emerged as a tool to circumvent a major problem of pharmaceutical indust...
The aim of the present paper is to present the methodology of the molecular descriptors family (MDF)...
Chemical similarity between molecules, is a key concept in drug design and drug discovery. The advan...
© 2014 Sushko et al.; licensee Springer. Background: QSAR is an established and powerful method for ...