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Advances in Quantitative Structure Property Relationships, Vol. 3 (Advances in Quantative Structure - Property Relationships) by Marvin Charton

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Published by JAI Press .
Written in English

Subjects:

  • Chemistry,
  • Technology,
  • Science,
  • Science/Mathematics,
  • Chemistry - Physical & Theoretical,
  • Science / Chemistry / Physical & Theoretical,
  • Engineering - Chemical & Biochemical

Book details:

The Physical Object
FormatHardcover
Number of Pages240
ID Numbers
Open LibraryOL9324603M
ISBN 100444511121
ISBN 109780444511126
OCLC/WorldCa223780348

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Books & CD ROMs Show all 4 results. Three-Dimensional Quantitative Structure Activity Relationships, Vol. 2. Kubinyi, Hugo, Folkers, Gerd, Martin, Ligand-Protein Interactions and Molecular Similarity Volume 3: Recent Advances. Series: Three-Dimensional Quantitative Structure Activity Relationships, Vol. 2/3. Volume 3 is a valuable resource text for scientists with a background or serious interest in 3D QSAR who are interested in CoMFA and related methodology. overall this 3 book series is a wonderful reference source for scientists interested 3D QSAR.' SIM News, ()Author: Hugo Kubinyi. The International Journal of Quantitative Structure-Property Relationships (IJQSPR) is a new journal that will explore the latest research surrounding the topic of Quantitative Structure-Property Relationship (QSPR) models and the applications of these models across the fields of materials science, chemical engineering, pharmaceutical and medicinal chemistry, pharmacokinetics, toxicology (including ecotoxicology), and agricultural sciences. This chapter focuses on the recent advances in quantitative structure–retention relationships (QSRR). To undertake QSRR investigations two kinds of input data are required. One is a set of quantitatively comparable retention data (dependent variable) for a sufficiently large (for statistical reasons) set of happylifekennel.com by: 6.

Pharmaceutical Science & Technology Today. Latest issue All issues. Search in this journal. Volume 3, Issue 2 Pages (1 February ) Download full issue. Previous vol/issue. Quantitative structure–property relationships in pharmaceutical research – Part 2. Manish Grover, Bhupinder Singh, Monika Bakshi, Saranjit Singh. The main advantage of quantitative structure–property relationships (QSPR), like quantitative structure–activity relationships (QSAR), lies in the fact that once such a relationship is ascertained with an adequate statistical degree of confidence, it can be of valuable assistance in the prognosis of the behaviour of new molecules, even before they are actually happylifekennel.com by: A PSO is adopted for descriptor selection in the quantitative structure-property relationships (QSPR) of a dataset of 74 chiral guests due to its simplicity, speed, and consistency. The modified PSO is then combined with SVMs for its good approximating properties, to generate a . The technique is employed not only to predict the biological activity but also physicochemical and pharmaceutical properties prior to synthesis. The successful implementation of quantitative structure–property relationships (QSPR) certainly decreases the number of compounds synthesized, by making it possible to select the most promising Cited by:

Aug 31,  · This article covers both synthesis pathways as well as qualitative and quantitative analyses of the structure–activity relationships of the YC, Kim KH, Lin CT. Comparative molecular field analysis: CoMFA. In: Advances in Quantitative Structure–Property Relationships 31 August | Future Medicinal Chemistry, Vol. 3, No. Cited by: Journals & Books; Help; Pharmaceutical Science & Technology Today. Latest issue All issues. Search in this journal. Volume 3, Issue 1 Pages (1 January ) Download full issue. Previous vol/issue. Next vol/issue. Actions for selected articles. Quantitative structure–property relationships in pharmaceutical research – Part 1. Dec 04,  · Advances in Materials (AM) publishes reviews, full-length papers, and short communications recording original research results on, or techniques for studying the relationship between structure, properties, and uses of materials. The subjects are seen from international and interdisciplinary perspectives covering areas including metals, ceramics, glasses, polymers, electrical . A quantitative analysis of the structure-property relationship (QSAR) was performed on 32 molecules derived from the derivated pyrazol. A QSAR model was established using the multiple linear regression (MLR), partial least squares (PLS), and multiple nonlinear regression (MNLR).Author: El Ghalia Hadaji, Abdelkarim Ouammou, Mohammed Bouachrine.