نتایج جستجو برای: quantitative structure activity relationship

تعداد نتایج: 3215994  

2010

2.1.Date of QMRF: 06.11.2009 2.2.QMRF author(s) and contact details: [1]Dana Martin Molcode Ltd. Turu 2, Tartu, 51014, Estonia [email protected] http://www.molcode.com [2]Indrek Tulp Molcode model development team Molcode Ltd. Turu 2, Tartu, 51014, Estonia [email protected] http://www.molcode.com [3]Tarmo Tamm Molcode model development team Molcode Ltd. Turu 2, Tartu, 51014, Estonia models@mo...

Journal: :IJCCE 2011
Tanmoy Chakraborty Dulal C. Ghosh

Under the QSPR/QSAR paradigm, a comparative study is made of the known drug activity of as many as 15 anti-tubercular drugs vis-à-vis the computed quantum mechanical global reactivity descriptors like global hardness, global softness and global electrophilicity index. The comparative study reveals that the experimentally determined activity of drug molecules, including its variation with side s...

Journal: :Cancer Informatics 2006
Adeel Malik Hemajit Singh Munazah Andrabi Syed Akhtar Husain Shandar Ahmad

In this review, we take a survey of bioinformatics databases and quantitative structure-activity relationship studies reported in published literature. Databases from the most general to special cancer-related ones have been included. Most commonly used methods of structure-based analysis of molecules have been reviewed, along with some case studies where they have been used in cancer research....

Journal: :Kybernetika 1986
Jan Rehák Blanka Reháková

Distributions on classifications are met wherever we work with categorical variables. A vast investigation has been done in developing methods for statistical analysis of nominal variables (e.g. variables with simple classification), partially are solved also problems for ordered classifications and classifications with assigned numbers. In this paper we propose a general model which enables us...

Journal: :IJCCE 2011
Ashutosh Kumar Gupta Arindam Chakraborty Santanab Giri Venkatesan Subramanian Pratim Kumar Chattaraj

In this paper, quantitative–structure–toxicity–relationship (QSTR) models are developed for predicting the toxicity of halogen, sulfur and chlorinated aromatic compounds. Two sets of compounds, containing mainly halogen and sulfur inorganic compounds in the first set and chlorinated aromatic compounds in the second, are investigated for their toxicity level with the aid of the conceptual Densit...

Journal: :Journal of Chemical Information and Computer Sciences 1997
Alan R. Katritzky Uko Maran Mati Karelson Victor S. Lobanov

Quantitative structure-property relationships on a large set of descriptors are developed for the melting points of a large set of monoand disubstituted benzenes (443 compounds). A correlation equation including nine descriptors (R2 ) 0.8373) is reported for the whole set of compounds, and six descriptor equations are given for the subsets of ortho-, meta-, and para-substituted compounds, respe...

Journal: :Optimization Letters 2008
Werner Römisch Stefan Vigerske

Mixed-integer two-stage stochastic programs with fixed recourse matrix, random recourse costs, technology matrix, and right-hand sides are considered. Quantitative continuity properties of its optimal value and solution set are derived when the underlying probability distribution is perturbed with respect to an appropriate probability metric.

2005
Bruno KOCHAN Davy JANSSENS Tom BELLEMANS Geert WETS B. Kochan

Activity-based transportation models have set the standard for modelling travel demand for the last decade. It seems common practice nowadays to collect the data to estimate these activity-based transportation models by means of activity diaries. This paper explores potential advantages and disadvantages that may occur in the collection of this type of data by means of a hand-held computer-assi...

Journal: :Appl. Math. Lett. 2009
Dragan Stevanovic Gopalapillai Indulal

Distance energy of a graph G is a recent energy-type invariants, defined as the absolute deviation of the eigenvalues of the distance matrix of G. It is a useful molecular descriptor in QSPR modelling, as demonstrated by Consonni and Todeschini in [MATCH Commun. Math. Comput. Chem. 60 (2008), 3–14]. We describe here the distance spectrum and energy of the join-based compositions of regular grap...

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