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Identification and Characterization of Strain Specific Drug Target by Subtractive Genome Analysis of Methicillin Resistance Staphylococcus aureus
Kiran Saeed and Reaz Uddin

This study aimed to identify and characterize strain specific essential protein targets, which will eventually help in the identification of druggable proteins in two strains of MRSA by using different Bioinformatic tools and databases. We adopting a subtractive genome approach within the domain of Computational Biology.

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Reaxys Xcelerate – Less Searching. More Discovery
Keshav Dutt Sharma

Reaxys Xcelerate is a new premium version of Reaxys. Reaxys is a web based workflow tool for synthetic chemists. It is designed to support the optimization of synthetic processes and offers a valuable resource for accurate & validated experimental reaction & substance data.

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Processing and Managing Analytical Data to Extract and Share Knowledge – How Far We’ve Come and Why It’s So Hard?
Michael Boruta and Sanjivanjit K. Bhal, Advanced Chemistry Development, Inc.

This paper discusses the ACD/Spectrus Processor, the new all-in-one analytical data processing and chemical characterization software.

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GALAS Modeling Methodology Applications In The Prediction Of Drug Metabolism Related Properties
Remigijus Didziapetris, Justas Dapkunas, Andrius Sazonovas and Pranas Japertas

Analytical identification of metabolites for a drug candidate is usually a time consuming and low-throughput task and is performed only at the later phases of drug development. Therefore the possibility to predict possible sites of human liver microsomal (HLM) metabolism using in silico techniques would be a very attractive feature for any medicinal chemist.

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Effective Use of In-Silico Tools in Lead Optimization
Pranas Japertas, Andrius Sazonovas and Kiril Lanevskij

Of all the challenges facing medicinal chemists in general, one of the most significant must be transforming an active molecule into a viable drug. Lead optimization efforts are guided by a combination of factors, such as potency, ease of synthesis, patentability concerns, specific synthetic constrains of the interaction with the target, as well as the lead’s toxicity and ADME properties.

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New Approach for In Silico Genotoxicity Testing of Impurities and Degradants
Kiril Lanevskij, Liutauras Juska, Remigijus Didziapetris and Pranas Japertas

This study presents a novel approach to aid this assessment based on probabilistic predictors of mutagenicity in Ames test and binding to Estrogen Receptor, supplemented by a knowledge-based system of structural alerts.

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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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Scientific News
UCSF Steps Forward to Lead Advances in Precision Medicine
The world’s foremost thinkers, creators and innovators convened last month to identify new approaches and spur action to make medicine more predictive, preventive and precise.
Using Mathematical Modelling in the Fight Against Cancer
Different treatments and genetic modifications might allow cancer-killing, oncolytic viruses to overcome the natural defences that cancer cells use.
Indiana Biosciences Research Institute Unveiled
Purdue University part of first industry-led collaborative life sciences research institute in the United States.
Molecular Modelling to Help Create Better, Safer Drugs
How our bodies break down the common drugs ibuprofen, diclofenac and warfarin is the subject of a new study from the University of Bristol.
ATARiS Informatics Platform Hits the Jackpot
ATARiS is one of several tools developed at the Broad Institute to precisely tune in to the signals within noisy datasets.
New Software Spots, Isolates Cyber-attacks to Protect Networked Control Systems
Software algorithm detects and isolates cyber-attacks on networked control systems that are becoming increasingly important to national infrastructure
Computational Tool Translates Complex Data into 2-Dimensional Images
May allow doctors to track progression of cancer, response to treatment, and risk of relapse.
Agilent Technologies Announces Winner of Fifth Annual Early Career Professor Award
Assistant Professor at Northwestern Recognized for Cancer Diagnostics Research.
Launch of £90m Initiative in Big Data and Drug Discovery at Oxford University
'Big data' to revolutionise healthcare.
HealthLinkNow Integrates SBR Health
HLN and SBR announced HLN has selected SBR’s video call routing and management solution to manage virtual patient-provider visits on HLN’s telemedicine network.
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