Literature DB >> 10637598

Quantitative structure-property relationships in pharmaceutical research - Part 1.

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Abstract

Quantitative structure-activity relationships (QSAR) have been applied for decades in the development of new drugs. Although a QSAR does not completely eliminate the trial and error factor involved in the development of a new drug, it certainly decreases the number of compounds synthesized by facilitating the selection of the most promising examples. The success of QSAR has tempted scientists, particularly in the pharmaceutical arena, to investigate relationships of molecular parameters with properties other than activity. The purpose of this two-part review is to provide a broad overview of the development of quantitative structure-property relationships (QSPR) and review the applications in pharmaceutical research. Part one discusses the advantages and limitations of QSPR, and various types of structural descriptors and properties, together with techniques to establish correlations between the two.

Year:  2000        PMID: 10637598     DOI: 10.1016/s1461-5347(99)00214-x

Source DB:  PubMed          Journal:  Pharm Sci Technolo Today        ISSN: 1461-5347


  12 in total

1.  A theoretical study on the gas-phase protonation of pyridine and phosphinine derivatives.

Authors:  François Zielinski; Vincent Tognetti; Laurent Joubert
Journal:  J Mol Model       Date:  2013-07-28       Impact factor: 1.810

2.  Multivariate data analysis of factors affecting the in vitro dissolution rate and the apparent solubility for a model basic drug substance in aqueous media.

Authors:  Anita Maria Persson; Curt Pettersson; Josefin Rosén
Journal:  Pharm Res       Date:  2010-03-27       Impact factor: 4.200

3.  QSPR modeling of detonation parameters and sensitivity of some energetic materials: DFT vs. PM3 calculations.

Authors:  Jianying Zhang; Gangling Chen; Xuedong Gong
Journal:  J Mol Model       Date:  2017-05-22       Impact factor: 1.810

4.  Development of a QSPR model for predicting thermal stabilities of nitroaromatic compounds taking into account their decomposition mechanisms.

Authors:  Guillaume Fayet; Patricia Rotureau; Laurent Joubert; Carlo Adamo
Journal:  J Mol Model       Date:  2010-12-21       Impact factor: 1.810

5.  Ligand Classifier of Adaptively Boosting Ensemble Decision Stumps (LiCABEDS) and its application on modeling ligand functionality for 5HT-subtype GPCR families.

Authors:  Chao Ma; Lirong Wang; Xiang-Qun Xie
Journal:  J Chem Inf Model       Date:  2011-03-07       Impact factor: 4.956

6.  QSPR modeling of thermal stability of nitroaromatic compounds: DFT vs. AM1 calculated descriptors.

Authors:  Guillaume Fayet; Patricia Rotureau; Laurent Joubert; Carlo Adamo
Journal:  J Mol Model       Date:  2010-01-05       Impact factor: 1.810

7.  Models for antitubercular activity of 5â-O-[(N-Acyl)sulfamoyl]adenosines.

Authors:  Rakesh K Goyal; Harish Dureja; Gajendra Singh; Anil Kumar Madan
Journal:  Sci Pharm       Date:  2010-08-13

8.  Spectrophores as one-dimensional descriptors calculated from three-dimensional atomic properties: applications ranging from scaffold hopping to multi-target virtual screening.

Authors:  Rafaela Gladysz; Fabio Mendes Dos Santos; Wilfried Langenaeker; Gert Thijs; Koen Augustyns; Hans De Winter
Journal:  J Cheminform       Date:  2018-03-07       Impact factor: 5.514

9.  Novel 2-Hydroselenonicotinonitriles and Selenopheno[2, 3-b]pyridines: Efficient Synthesis, Molecular Docking-DFT Modeling, and Antimicrobial Assessment.

Authors:  Magda H Abdellattif; Adel A H Abdel-Rahman; Mohamed Mohamed Helmy Arief; Samar M Mouneir; Amena Ali; Mostafa A Hussien; Rawda M Okasha; Tarek H Afifi; Mohamed Hagar
Journal:  Front Chem       Date:  2021-05-10       Impact factor: 5.221

10.  A New Family of Benzo[h]Chromene Based Azo Dye: Synthesis, In-Silico and DFT Studies with In Vitro Antimicrobial and Antiproliferative Assessment.

Authors:  Alaa S Abd-El-Aziz; Azhaar Alsaggaf; Eman Assirey; Arshi Naqvi; Rawda M Okasha; Tarek H Afifi; Mohamed Hagar
Journal:  Int J Mol Sci       Date:  2021-03-10       Impact factor: 5.923

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