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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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Showing Results 11 - 20 of 61
Scientific News
Powerful Tool Promises To Change The Way Scientists View Proteins
Aquaria, a publicly available web resource that streamlines and simplifies the process of gleaning insight from 3D protein structures, is fast, easy-to-use and contains twice as many models as all other similar resources combined.
Gene Changes That Affect Brain Size Identified
The identity of eight common mutations may one day reveal more about Alzheimer’s, autism and other neurological disorders.
Noisy Data Facilitates Investigation of Breast Cancer Gene Expression
Study tested the potential of denoising autoencoders to identify and extract complex patterns from genomic data.
New 'Systems Genetics' Study Identifies Possible Target For Epilepsy Treatment
A single gene that coordinates a network of about 400 genes involved in epilepsy could be a target for new treatments, according to research.
Software Created to Help Find a Cure for a "Great Neglected Disease"
SF State-led team's software determines drugs' effectiveness in treating schistosomiasis.
Hidden Cell Types Revealed
New statistical method for RNA-seq analysis identifies, corrects for hidden structure between cells.
Building A New Map Of Human Genetic Variation
Simons Foundation awards up to $1 million to UC Santa Cruz Genomics Institute to develop a comprehensive Human Genome Variation Map for scientific and medical research.
A Standard for Neuroscience Data
Berkeley Lab researchers have developed a computational framework for standardizing neuroscience data worldwide.
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.
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