Literature DB >> 16802062

Megavariate analysis of environmental QSAR data. Part II--investigating very complex problem formulations using hierarchical, non-linear and batch-wise extensions of PCA and PLS.

Lennart Eriksson1, Patrik L Andersson, Erik Johansson, Mats Tysklind.   

Abstract

Three extensions of the basic PCA and PLS methodologies are described. These extensions are hierarchical, non-linear and batch-based in nature. The objectives of these methods are to assist in problem understanding and problem solving in very complex (QSAR) problem formulations. The method extensions are illustrated using two example QSAR data sets containing many X- and Y-variables.

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Year:  2006        PMID: 16802062     DOI: 10.1007/s11030-006-9026-4

Source DB:  PubMed          Journal:  Mol Divers        ISSN: 1381-1991            Impact factor:   2.943


  9 in total

1.  Megavariate analysis of hierarchical QSAR data.

Authors:  Lennart Eriksson; Erik Johansson; Fredrik Lindgren; Michael Sjöström; Svante Wold
Journal:  J Comput Aided Mol Des       Date:  2002-10       Impact factor: 3.686

Review 2.  Metabonomics: a platform for studying drug toxicity and gene function.

Authors:  Jeremy K Nicholson; John Connelly; John C Lindon; Elaine Holmes
Journal:  Nat Rev Drug Discov       Date:  2002-02       Impact factor: 84.694

3.  Using chemometrics for navigating in the large data sets of genomics, proteomics, and metabonomics (gpm).

Authors:  Lennart Eriksson; Henrik Antti; Johan Gottfries; Elaine Holmes; Erik Johansson; Fredrik Lindgren; Ingrid Long; Torbjörn Lundstedt; Johan Trygg; Svante Wold
Journal:  Anal Bioanal Chem       Date:  2004-09-22       Impact factor: 4.142

4.  Three-block bi-focal PLS (3BIF-PLS) and its application in QSAR.

Authors:  L Eriksson; J Damborsky; M Earll; E Johansson; J Trygg; S Wold
Journal:  SAR QSAR Environ Res       Date:  2004 Oct-Dec       Impact factor: 3.000

5.  Megavariate analysis of environmental QSAR data. Part I--a basic framework founded on principal component analysis (PCA), partial least squares (PLS), and statistical molecular design (SMD).

Authors:  Lennart Eriksson; Patrik L Andersson; Erik Johansson; Mats Tysklind
Journal:  Mol Divers       Date:  2006-06-13       Impact factor: 2.943

6.  Alignment of flexible molecules at their receptor site using 3D descriptors and Hi-PCA.

Authors:  A Berglund; M C De Rosa; S Wold
Journal:  J Comput Aided Mol Des       Date:  1997-11       Impact factor: 3.686

7.  Comparative molecular field analysis using GRID force-field and GOLPE variable selection methods in a study of inhibitors of glycogen phosphorylase b.

Authors:  G Cruciani; K A Watson
Journal:  J Med Chem       Date:  1994-08-05       Impact factor: 7.446

8.  Quantitative structure-activity relationships in fish toxicity studies. Part 1: relationship for 50 industrial pollutants.

Authors:  H Könemann
Journal:  Toxicology       Date:  1981       Impact factor: 4.221

Review 9.  Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs.

Authors:  Lennart Eriksson; Joanna Jaworska; Andrew P Worth; Mark T D Cronin; Robert M McDowell; Paola Gramatica
Journal:  Environ Health Perspect       Date:  2003-08       Impact factor: 9.031

  9 in total
  7 in total

1.  Megavariate analysis of environmental QSAR data. Part I--a basic framework founded on principal component analysis (PCA), partial least squares (PLS), and statistical molecular design (SMD).

Authors:  Lennart Eriksson; Patrik L Andersson; Erik Johansson; Mats Tysklind
Journal:  Mol Divers       Date:  2006-06-13       Impact factor: 2.943

2.  Estimating persistence of brominated and chlorinated organic pollutants in air, water, soil, and sediments with the QSPR-based classification scheme.

Authors:  T Puzyn; M Haranczyk; N Suzuki; T Sakurai
Journal:  Mol Divers       Date:  2010-04-13       Impact factor: 2.943

3.  Metabolomics Reveals that Aryl Hydrocarbon Receptor Activation by Environmental Chemicals Induces Systemic Metabolic Dysfunction in Mice.

Authors:  Limin Zhang; Emmanuel Hatzakis; Robert G Nichols; Ruixin Hao; Jared Correll; Philip B Smith; Christopher R Chiaro; Gary H Perdew; Andrew D Patterson
Journal:  Environ Sci Technol       Date:  2015-06-12       Impact factor: 9.028

4.  Unravelling the metabolic impact of SBS-associated microbial dysbiosis: Insights from the piglet short bowel syndrome model.

Authors:  Prue M Pereira-Fantini; Sean G Byars; James Pitt; Susan Lapthorne; Fiona Fouhy; Paul D Cotter; Julie E Bines
Journal:  Sci Rep       Date:  2017-02-23       Impact factor: 4.379

5.  Differentiation of skin biopsies by light scattering spectroscopy.

Authors:  Tuba Denkçeken; Fatma Elif Yıldırım; Cihan Atak; Mehmet Sökücü
Journal:  Postepy Dermatol Alergol       Date:  2020-01-31       Impact factor: 1.837

6.  Traumatic axonal injury in the mouse is accompanied by a dynamic inflammatory response, astroglial reactivity and complex behavioral changes.

Authors:  Sara Ekmark-Lewén; Johanna Flygt; Olivia Kiwanuka; Bengt J Meyerson; Anders Lewén; Lars Hillered; Niklas Marklund
Journal:  J Neuroinflammation       Date:  2013-04-04       Impact factor: 8.322

7.  ProAlgaZyme subfraction improves the lipoprotein profile of hypercholesterolemic hamsters, while inhibiting production of betaine, carnitine, and choline metabolites.

Authors:  Andreea Geamanu; Arvind Goja; Nadia Saadat; Pramod Khosla; Smiti V Gupta
Journal:  Nutr Metab (Lond)       Date:  2013-08-27       Impact factor: 4.169

  7 in total

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