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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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Showing Results 11 - 20 of 59
Scientific News
Project to Focus on Link Between Immune System and Brain Disorders
Researchers to investigate whether mood disorders, such as depression, and neurodegenerative diseases, such as Alzheimer’s, could be treated by targeting the immune system.
Big Data Project to Capture the Experience of MS Patients
Researchers will track the lives of people with multiple sclerosis in unprecedented detail in a project to improve the evaluation of treatments.
Measuring Brain Volume can Help People with Multiple Sclerosis
icometrix has developed software for measuring the brain and brain lesion volume.
Anonymised Clinical Data Key to Understanding Traumatic Brain Injuries
By exploiting big data in a real healthcare setting, it is hoped that clinicians will be able to make treatment decisions earlier.
WormBase ParaSite Launched
Open-access database WormBase ParaSite launches with data on 1.5 million genes.
Big Data Set To Make A Big Difference In Childhood Cancer Treatment
UTS researchers are working with the Kids Research Institute to visualise large quantities of patient data to better diagnose and treat childhood cancer patients.
Proteomics for Systems Toxicology
MS-based proteomics is maturing into a robust technology for the measurement of proteome-wide exposure effects.
Molecular Event Mapping Opens Door to more in silico Tests
It is hoped that this new approach to mapping and predicting the impact of chemical compounds in the body could reduce the need for toxicity tests in animals.
Big Data Helps Pinpoint Possible New Stent Drug
Replacing the current drug used to coat artery-opening stents with a drug more targeted to the actual cause of stent disease could reduce blood clots and heart attacks.
Computer Model Sets New Precedent in Drug Discovery
New computational model can precisely simulate, predict therapeutic protein behaviors to help zero in on ideal drug design candidates.
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