Latest Posters

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.

One of the emerging trends in glycomics research is the innovation related to accurate MS based quantitative analysis of glycans.

Chromatographically coupled mass spectrometry is a powerful tool for profiling, semi-quantitatively or quantitatively, a breadth of small molecules with sensitivity and selectivity.

The recent fast advancement of next generation sequencing (NGS) technologies allowing for unprecedented speed and accuracy in analyzing viral genomes are opening new ways to further improve diagnostic genotyping of HCV.

Objectives: to develop improved detection of clinically relevant viral mutations using ion torrent based NGS in an automated workflow.

Informatics technologies and software automation of workflows are becoming key strategic considerations for identification, elucidation, and characterization of extractables and leachables.

The inclusion of expanded data types supports more accurate structure verification, decreasing the likelihood that false structures may pass through a verification process.

Pathologists are the guardians of large quantities of high-resolution
imaging material, that is barely noticed by bioinformatics today. Yet this (annotated) material can be of huge contributing value to any research project, as pathology preserves topological tissue features, and can help explain difficult phenomena such as tumor heterogeneity. The goal is then to bridge research methods and materials from the bioinformatics community with the (digital) pathology community.

Too often, image analysis and data/image mining projects remain stuck in
microenvironments because they are limited by vendorspecific
solutions that neither scale nor interact with material from other departments or institutions. Successful rollout of digital histopathology therefore requires more than a whole slide scanner. At Brussels Free
University (VUB), we wanted to provide a core digital pathology infrastructure that can support a range of different use cases.

A discussion of a new informatics solution that addresses common challenges in metabolite identification and characterization--from LC/MS data processing and metabolites prediction to reporting and databasing of assembled biotransformation knowledge.