Earlier we showed (A. K. Ghose and G. M. Crippen, J. Med. Chem. , 28, 333, 1985) the necessity of atomic physicochemical parameters in three-dimensional receptor mapping. Here we derive more refined and widely applicable hydrophobicity parameters. Carbon, hydrogen, oxygen, nitrogen, sulfur, and halogens are classified into 110 atom types. Among these, the hydrophobic contributions of 90 atom types have been evaluated from the log P (water-octanol) values of 494 molecules, using the additive model and leastsquares technique. It gave a standard deviation of 0.347, a correlation coefficient of 0.962, and an explained variance of 0.908. These atomic values were used to predict the log P values of 69 compounds. The predicted values showed ...
logP is an important parameter for evaluating the hydrophobicity of organic compounds and other spec...
Multivariate approaches like principal component analysis (PCA) are powerful tools to investigate hy...
Multivariate approaches like principal component analysis (PCA) are powerful tools to investigate hy...
In an earlier article 8 the need was demonstrated for atomic physicochemical properties for three d...
A novel method for the calculations of 1-octanol/water partition coefficient (log P) of organic mole...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/83255/1/jcics27_21_87.pd
It has long been the aim of the pharmaceutical industry to speed the process of new drug development...
It has long been the aim of the pharmaceutical industry to speed the process of new drug development...
There is a requirement to assess the safety of chemicals to both 'man' and the environment. Traditio...
This study describes a versatile computational method to determine the hydrophobicity of small pepti...
Maximum topological distance-based indices are used together with standard ones to compute the hydro...
Molecular alignment is a standard procedure for three-dimensional (3D) similarity measurements and p...
Since the development of structure-activity relationships about 50 years ago, 3D-QSAR methods belong...
Molecular alignment is a standard procedure for three-dimensional (3D) similarity measurements and p...
Molecular alignment is a standard procedure for three-dimensional (3D) similarity measurements and p...
logP is an important parameter for evaluating the hydrophobicity of organic compounds and other spec...
Multivariate approaches like principal component analysis (PCA) are powerful tools to investigate hy...
Multivariate approaches like principal component analysis (PCA) are powerful tools to investigate hy...
In an earlier article 8 the need was demonstrated for atomic physicochemical properties for three d...
A novel method for the calculations of 1-octanol/water partition coefficient (log P) of organic mole...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/83255/1/jcics27_21_87.pd
It has long been the aim of the pharmaceutical industry to speed the process of new drug development...
It has long been the aim of the pharmaceutical industry to speed the process of new drug development...
There is a requirement to assess the safety of chemicals to both 'man' and the environment. Traditio...
This study describes a versatile computational method to determine the hydrophobicity of small pepti...
Maximum topological distance-based indices are used together with standard ones to compute the hydro...
Molecular alignment is a standard procedure for three-dimensional (3D) similarity measurements and p...
Since the development of structure-activity relationships about 50 years ago, 3D-QSAR methods belong...
Molecular alignment is a standard procedure for three-dimensional (3D) similarity measurements and p...
Molecular alignment is a standard procedure for three-dimensional (3D) similarity measurements and p...
logP is an important parameter for evaluating the hydrophobicity of organic compounds and other spec...
Multivariate approaches like principal component analysis (PCA) are powerful tools to investigate hy...
Multivariate approaches like principal component analysis (PCA) are powerful tools to investigate hy...