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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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Scientific News
Connectome Map More Than Doubles Human Cortex’s Known Regions
Researchers at NIH have developed software that automatically detects the “fingerprint” of each of these areas in an individual’s brain scans.
Cell Cargo Ships in Near Future?
Virus-inspired container design may lead to cell cargo ships following construction of ten large, two-component, icosahedral protein complexes.
Three-Drug Combinations Counter Antibiotic Resistance
Research shows that combinations of three different antibiotics can treat resistant bacteria, even if they are ineffective independently.
Supercomputing and Drug Discovery
New biotech company uses supercomputer simulations to speed up drug discovery and biotech molecule development.
Identifying Cancer Drug Targets Using 3D-Modelling
Researchers are now able to model genetic mutations manipulation of proteins that can potentially drive cancer.
Human Evolution Driven by Viruses
Study finds surprising percentage of protein adaptions in humans have been driven by viruses.
Earliest Sign of Alzheimer's Development Discovered
Researchers have identified the first physiological signs of late-onset Alzheimer's disease, underlining the importance of computational power in neurology.
Computational Method Offers Significant Boost in Finding New Cancer Targets
MIT and ARIAD Pharmaceuticals team have identified evidence of significant cancer mutations.
Drug Response Predicted by Cancer Cell Lines
Large-scale study could increase success rate of developing personalised cancer treatments.
Google and EI Partner for Next Generation of Coders
The Earlham Institute's open-source project for visualisation of biological data BioJS acts as mentor organisation for Google Summer of Code 2016.
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