نتایج جستجو برای: qspr

تعداد نتایج: 745  

Journal: :Journal of computer-aided molecular design 2005
John Cartmell Steven J. Enoch Damjan Krstajic David E. Leahy

This paper describes a novel software architecture, Competitive Workflow, which implements workflow as a distributed and competitive multi-agent system. The implementation of a competitive workflow architecture designed to model important computer-aided molecular design workflows, the Discovery Bus, is described. QSPR modelling results for three example ADME datasets, for solubility, human plas...

2010
Omar Deeb Padmakar V. Khadikar Mohammad Goodarzi

The terms bioaccumulation and bioconcentration refer to the uptake and build-up of chemicals that can occur in living organisms. Experimental measurement of bioconcentration is time-consuming and expensive, and is not feasible for a large number of chemicals of potential regulatory concern. A highly effective tool depending on a quantitative structure-property relationship (QSPR) can be utilize...

Journal: :Journal of chemical information and computer sciences 2004
Alexandre Varnek Denis Fourches Vitaly P. Solov'ev Vladimir E. Baulin Alexander N. Turanov Vasili K. Karandashev Dan C. Fara Alan R. Katritzky

This paper is devoted to computer-aided design of new extractants of the uranyl cation involving three main steps: (i) a QSPR study, (ii) generation and screening of a virtual combinatorial library, and (iii) synthesis of several predicted compounds and their experimental extraction studies. First, we performed a QSPR modeling of the distribution coefficient (logD) of uranyl extracted by phosph...

2010
Axel J. Soto Marc Strickert Gustavo E. Vazquez

QSPR methods represent a useful approach in the drug discovery process, since they allow predicting in advance biological or physicochemical properties of a candidate drug. For this goal, it is necessary that the QSPR method be as accurate as possible to provide reliable predictions. Moreover, the selection of the molecular descriptors is an important task to create QSPR prediction models of lo...

2004
Francesc Giralt G. Espinosa

A new approach is presented for the development of quantitative structure–property relations (QSPR) based on the extraction of relevant molecular features with self-organizing maps and the use of a modified fuzzy-ARTMAP classifier for variable prediction. The present methodology is demonstrated for the development of a QSPR for the aqueous-phase infinite dilution activity coefficient , based on...

Journal: :Polycyclic Aromatic Compounds 2022

In the research of QSAR and QSPR correlations, topological indices such as Randi’c index, Zagreb ABC geometric-arithmetic index have been proposed to analyze bio-compatibility chemical compounds. Chemical graph theory is combination Chemistry Graph theory, this deals with topology mathematical study isomerism development which has applications in QSPR. article, we consider Octahedron networks f...

Journal: :Journal of chemical information and computer sciences 2001
Denise Yaffe Yoram Cohen Gabriela Espinosa Alexandre Arenas Francesc Giralt

Quantitative structure-property relationships (QSPRs) for estimating aqueous solubility of organic compounds at 25 degrees C were developed based on a fuzzy ARTMAP and a back-propagation neural networks using a heterogeneous set of 515 organic compounds. A set of molecular descriptors, developed from PM3 semiempirical MO-theory and topological descriptors (first-, second-, third-, and fourth-or...

Journal: :Journal of chemical information and computer sciences 2003
Denise Yaffe Yoram Cohen Gabriela Espinosa Alexandre Arenas Francesc Giralt

Quantitative structure-property relationships (QSPRs) for estimating a dimensionless Henry's Law constant of organic compounds at 25 degrees C were developed based on a fuzzy ARTMAP and back-propagation neural networks using a heterogeneous set of 495 organic compounds. A set of molecular descriptors developed from PM3 semiempirical MO-theory and topological descriptors (second-order molecular ...

2010
Roya Khosrokhavar Jahan Bakhsh Ghasemi Fereshteh Shiri

In the present work, support vector machines (SVMs) and multiple linear regression (MLR) techniques were used for quantitative structure-property relationship (QSPR) studies of retention time (t(R)) in standardized liquid chromatography-UV-mass spectrometry of 67 mycotoxins (aflatoxins, trichothecenes, roquefortines and ochratoxins) based on molecular descriptors calculated from the optimized 3...

Journal: :Siberian Journal of Life Sciences and Agriculture 2020

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