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QSAR Model of Regioselectivity of Metabolism in Human Liver Microsomes: Development, Validation, Comparison and Adaptation to Novel Compounds
Justas Dapkunas, Andrius Sazonovas and Pranas Japertas

Analytical identification of metabolites for a drug candidate is usually a time consuming and low-throughput task which is performed only in late drug development phases. Therefore the ability to predict possible sites of human liver microsomal metabolism using in silico techniques would be highly beneficial for any medicinal chemist.

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In silico Identification of Metabolic Soft Spots: Case Study Using ACD/ADME Suite Software
Justas Dapkunas, Andrius Sazonovas, Remigijus Didziapetris and Pranas Japertas

Metabolic stability, determined in liver microsomes, is one of the primary assays used in early drug discovery. A key factor limiting compound half-life is the cytochrome P450 mediated metabolism. High clearance by these enzymes implies a higher and more frequent dosing as well as poses a risk for individual variations in exposure.

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Analytical and Chemical Knowledge Management Software for Drug Metabolism Science
Graham A. McGibbon, Karim Kassam, and Susan Ling

Characterizing metabolite structures and metabolic pathways is essential to understanding the potential biological implications of compounds in drug discovery.

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Analytical and Chemical Knowledge Management Software for Drug Metabolism Science
Graham A. McGibbon, Karim Kassam, and Susan Ling

Characterizing metabolite structures and metabolic pathways is essential to understanding the potential biological implications of compounds in drug discovery.

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Understanding the Role of Quality by Design in Chromatographic Method Development
Michael McBrien, Juan Wang, Teresa Ponzio and Tara Sinclair

Quality by Design (QbD) has become popular within the pharmaceutical industry and the FDA has cited a risk-based approach to drug development as a desirable state for the near future.1 In this state, more complete information and transparency relating to risk assessment will be made available for new drug aplications speeding the approval process, and preventing late-stage failures.

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Ensuring the Quality of Registered Compounds in a Drug Discovery Environment – A Multidisciplinary Approach
Ryan Sasaki and Tara Sinclair

Lexicon Pharmaceuticals have demonstrated that a practical automated verification system using HPLC, LC/MS, and 1D and 2D NMR can be implemented in an industrial/pharmaceutical environment. This system has proven to be robust, and provides added value to compound collection integrity and quality.

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A Self-Monitoring Quality Management System Incorporating Spectral and Chromatographic Data
David Snyderman, Colin Read and Tara Sinclair

LIMS are useful in managing certain types of data for quality management and sample tracking. However, these systems are generally limited in the types of information they can process and store. A unique automated quality management system has been developed and implemented at a fragrance manufacturer to evaluate chromatographic and spectral data of samples during quality testing.

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Using SNA for Mining Collaboration Data in a Bug Tracking System for Risk and Vulnerability Analysis
Ashish Sureka, Atul Goyal, Ayushi Rastogi

We derive a collaboration network from a defect tracking system and apply SNA techniques to investigate the derived network for the purpose of risk and vulnerability analysis. We demonstrate how important information pertaining to risk and vulnerability can be uncovered using network analysis techniques from static record keeping software archive such as the bug tracking system.

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Molecular Dynamics Study of Binary Mixture Lubricating Film in Hard Disk Interface
Purushothaman,K.,Anandan,N.

As distance between the HMS in HDD shrink,there is a need for usage of binary mixture lubricants to overcome the problem of retention and replenishment of lubricants on HDD surface. In this work, lubrication performance of binary mixture will be modelled using MD simulation based on a coarse-grain spring model using Euler Algorithm.

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Scientific News
New Database for Sharing MS Clinical Trial Data
A new database containing nearly 2500 patient records from the placebo arms of nine multiple sclerosis (MS) clinical trials is now available for research by qualified investigators.
‘Precision Prevention’ for Colorectal Cancer
New risk prediction model — not yet ready for clinical use — incorporates genetic, lifestyle and environmental risk factors.
Characterizing Cancerous Genomic Variations
Tested on large tumor genomics database, REVEALER method allows researchers to connect genomics to cell function.
Uncovering Hidden Genomic Alterations that Drive Cancers
Tested on large tumor genomics database, REVEALER method allows researchers to connect genomics to cell function.
Spotting DNA Repair Genes Gone Awry
Ludwig researchers develop a two-pronged approach for identifying genes responsible for fixing DNA damage that can trigger cancer when compromised.
Interpreting “Dark Matter” DNA
Scientists at the Gladstone Institutes have invented a new way to read and interpret the human genome.
A Programming Language for Living Cells
New language lets researchers design novel biological circuits.
The Epigenetics of Childhood Cancer
Qlucore software enables researchers to more easily study the genetic influences behind childhood cancer.
Mining Whole Exome Data to Improve Cancer Therapies
New tool interprets the raw data of whole exome tumor sequencing and then matches the cancer’s unique genetics to FDA-approved targeted treatments.
Pittcon 2016: Accelerating Innovation And Enhancing Productivity With Technology
Collaboration and externalization of data highlight evolving lab operations.
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