| RTI International Uses ACD/Web Librarian to Develop ForensicDB; Share Databases | |
| Apr 01, 2013 | P. Stout, et al. |
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Third-Party Reference Testimonial |
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Read Abstract Full List of Authors: Peter Stout, Katherine Moore, Megan
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| How Software Can Aid Decision-Making in Chromatographic Method Development | |
| Mar 26, 2013 | D. Adams, S. Bhal (ACD/Labs) |
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Article |
Chromatography Today |
| Full list of Authors: David C. Adams and Sanjivanjit K. Bhal | |
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| An Evaluation of Standardized Software for Processing GC/MS Data from Different Vendors' Instruments in a Forensic Laboratory | |
| Mar 26, 2013 | E. McGee, et al. |
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Article |
Journal of Forensic Sciences |
| Full list of Authors: Eamonn McGee, Scott MacDonald, Graham A. McGibbon, Arvin Moser | |
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| ACD/AutoChrom: Developing a chromatographic method for complex mixture separation: faster, cheaper, better (Russian Article) | |
| Feb 01, 2013 | V.N. Tashlitskii, et al. |
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Article |
Drug Development & Registration |
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The use of ACD/AutoChrom is demonstrated to develop optimum chromatographic methods for analysis of impurities and degradation products of the drug substances. The choice of strategy and the optimization criteria that lead to the development of an analysis method that satisfies the requirements of system suitability was shown. http://www.pharmjournal.ru/ Full list of Authors: V.N. Tashlitskii, D.A.Tsarev, E.M.Kazmina |
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| Improving the prediction of drug disposition in the brain | |
| Jan 08, 2013 | K. Lanevskij, et al. |
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Article Review |
Expert Opinion on Drug Metabolism & Toxicology |
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Introduction: Ability to cross the blood–brain barrier is one of the key ADME characteristics of all drug candidates regardless of their target location in the body. While good brain penetration is essential for CNS drugs, it may lead to serious side effects in case of peripherally-targeted molecules. Despite a high demand of computational methods for estimating brain transport early in drug discovery, achieving good prediction accuracy still remains a challenging task. Areas covered: This article reviews various measures employed to quantify brain delivery and recent advances in QSAR approaches for predicting these properties from the compound's structure. Additionally, the authors discuss the classification models attempting to distinguish between permeable and impermeable chemicals. Expert opinion: Recent research in the field of brain penetration modeling showed an increasing understanding of the processes involved in drug disposition, although most models of brain/plasma partitioning still rely on purely statistical considerations. Preferably, new models should incorporate mechanistic knowledge since it is the prerequisite for guiding drug design efforts in the desired direction. To increase the efficiency of computational tools, a broader view is necessary, involving rate and extent of brain penetration, as well as plasma and brain tissue binding strength, instead of relying on any single property. Expert Opinion on Drug Metabolism & Toxicology, online, Jan. 8, 2013 Full list of Authors: Kiril Lanevskij, Pranas Japertas, and Remigijus Didziapetris |
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| Identification of Methoxyisoflavone Metabolites in Human Urine by UPLC/QTOF/MSe | |
| Nov 07, 2012 | P. Arpino (Chimie Paris) |
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Presentation Third-Party Reference |
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| ACD/Spectrus Russian Article | |
| Nov 01, 2012 | Eduard Kolovanov |
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Article |
J. Analytica Russia |
| ACD/Labs scientific expert and distributor, Eduard Kolovanov discusses the advantages of ACD/Spectrus software for spectroscopic data and knowledge management; identification of impurities, degradants and metabolites; development of separation methods for complex mixtures; and chemical structure confirmation and determination (in Russian, Analytica #6, 2012, pp 22-29, http://www.j-analytics.ru) | |
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| Raman and Infrared Spectra: Capturing the Artistry of Spectral Interpretation | |
| Oct 02, 2012 | Michael Boruta |
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Article AppNote |
American Laboratory |
| This article focuses on a means of capturing spectrum-to-structure correlations for Raman and infrared spectra. It discusses methods that can be used to obtain, archive, and retrieve this knowledge so that, once derived, it will remain a resource within the laboratory beyond the confines of individual analyst expertise. The aim of such a system is to not only capture the user’s own knowledge, but to combine it with the knowledge of colleagues to help the user make better decisions. | |
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| Pharma Discusses FDA Suggestion on Quality by Design | |
| Oct 01, 2012 | BioSpectrum |
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Article Third-Party Reference |
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| IR and Raman: Capturing the Artistry of Spectral Interpretation | |
| Sep 18, 2012 | M. Boruta |
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Article Whitepaper |
American Laboratory |
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| Validation of the extended Tanaka column characterization protocol by multivariate analysis of chromatographic retention of low-molecular-weight analytes on reversed phase columns using methanol and acetonitrile as organic modifiers | |
| Sep 03, 2012 | M R Euerby, et al. |
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Article Third-Party Reference |
Journal of Separation Science |
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The validity of the extended Tanaka column characterization procedure against the retention behavior of 101 analytes of widely differing properties chromatographed on five differing stationary phase chemistries has been established using a chemometric technique called principal component analysis (PCA). It was concluded that the simple and conveniently determined column characterization parameters covered the same space in the PCA loading plot as the retention times for the 101 differing analytes. This confirms that the ten column characterization parameters of the extended Tanaka protocol encode the same information as the retention times of the 101 analytes. Significant selectivity differences were observed between stationary phases and the mobile-phase modifiers – MeOH and MeCN. PCA contribution plots served as a convenient way to highlight specific selectivity differences between stationary phases. logD values exhibited a poor correlation with retention indicating that retention in RP-LC is not solely dictated by the analyte's hydrophobicity. The use of MeOH was found to generate greater selectivity differences with the five stationary phases than when MeCN is used. J. Sep. Sci., 35(19): 2592-2598, 2012 Full list of Authors: M R Euerby, M James, B-O Axelsson, O Rosén and P Petersson |
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| ACD/Spectrus: Bringing it All Together | |
| Jun 13, 2012 | Mark Drew (AstraZeneca) |
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Presentation Third-Party Reference |
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Jun 12, 2012, European Users' Meeting |
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| High-Throughput Computer-Assisted Identification Platform of Small Molecules | |
| Jun 13, 2012 | M. Pavel Pospisil (Philip Morris International) |
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Presentation Third-Party Reference |
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Jun 12, 2012, European Users' Meeting |
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| ACD/Spectrus Processor Review | |
| Jun 12, 2012 | Eugene E. Kwan, Harvard University |
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Article Third-Party Reference |
Journal of Chemical Information and Modelling |
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In early 2012 ACD/Labs released ACD/Spectrus Processor, an all-in-one, multi-technique analytical data processing and chemical characterization tool for synthetic chemists. Professor Eugene Kwan of Harvard University reviewed the software and shares his impressions in this article for the Journal of Chemical Information and Modelling. Looking specifically at the NMR capabilities of the software he discusses the ease of multiplet analysis (integration and determination of coupling constants), automatic generation of multiplet reports, and the capability for working with series of spectra and using ACD/NMR predictors in teaching. "The bottom line is that if you want to spend more time thinking about chemistry and less time wrestling with your NMR software, this is the way to go." Eugene E. Kwan, Harvard University J. Chem. Inf. Model, web June 2012. |
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| View an article preview on ACS Publications web site (complete article available with a subscription) |
| The Benefits of Spectral Databasing within Chemistry and Natural Product Support | |
| Jun 12, 2012 | Matthew Reid (Syngenta) |
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Presentation Third-Party Reference |
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Jun 12, 2012, European Users' Meeting |
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| Working with CROs on Product Metabolism—A More Efficient Process | |
| Jun 12, 2012 | Lou Mason (Syngenta) |
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Presentation Third-Party Reference |
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Jun 12, 2012, European Users' Meeting |
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| Automated Structure Verification—Are We There Yet? | |
| Jun 12, 2012 | John Hollerton (GSK) |
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Presentation Third-Party Reference |
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Jun 12, 2012, European Users' Meeting |
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| Interactive Biotransformation Maps: "ELN" Facilitates Construction, Management, and Dissemination of Key Pathways | |
| May 15, 2012 | Graham A. McGibbon, Ph. D. (ACD/Labs) |
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Article |
Genetic Engineering & Biotechnology News |
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The fate of new chemical entities in the pharmaceutical discovery and development pipeline hinges on biotransformation pathways and the outcome of metabolite safety profiles. ACD/Labs’ knowledge management solution for metabolism acts as a "biotransformation ELN" that combines the ability to create interactive biotransformation maps with advanced interpretation of analytical data including NMR, MS, and chromatography, and the ability to store the chemical context behind the interpretations. Genetic Engineering & Biotechnology News, 32(10), 2012. |
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