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Molecular Dynamics Simulation Study of Pulmonary Surfactant Interacting With Nanoparticles

MD simulation studies using NAMD of lipid bilayers supported on alpha-quartz (nanoparticles) and kaolinite with explicit water molecules will be presented to understand the physiochemical effects of nanoparticles on pulmonary surfactant.

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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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Scientific News
Searching Big Data Faster
Theoretical analysis could expand applications of accelerated searching in biology, other fields.
Imaging Software Could Speed Breast Cancer Diagnosis
Technology could improve access to diagnostic services in developing countries.
Data Mining DNA For Polycystic Ovary Syndrome Genes
A new Northwestern Medicine genome-wide association study of PCOS – the first of its kind to focus on women of European ancestry – has provided important new insights into the underlying biology of the disorder.
Firefly Protein Enables Visualization of Roots in Soil
A new imaging tool from a team led by Carnegie’s José Dinneny allows researchers to study the dynamic growth of root systems in soil, and to uncover the molecular signaling pathways that control such growth.
UEA Research Could Help Build Computers From DNA
New research from the University of East Anglia could one day help build computers from DNA.
Viral Comparisons
ORNL team applies genomics expertise to analyze, map virus sequence database.
Preserving Fleeting Digital Information with DNA
A team has demonstrated that DNA they encapsulated can preserve information for at least 2,000 years, and they’re now working on a filing system to make it easier to navigate.
TGAC Leads Development to Diminish Threat to Vietnam’s Most Important Crop
Advanced bioinformatics capabilities for next-generation rice genomics in Vietnam to aid precision breeding.
Mass Extinctions Can Accelerate Evolution
A computer science team at The University of Texas at Austin has found that robots evolve more quickly and efficiently after a virtual mass extinction modeled after real-life disasters such as the one that killed off the dinosaurs.
Furthering Data Analysis of Next-gen Sequencing to Facilitate Research
Researchers at Cincinnati Children's Hospital Medical Center have developed a user-friendly, integrated platform for analyzing the transcriptomic and epigenomic "big data.
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