Genedata Biologics for Biopharma R&D at 10th Annual PEGS

5 May 2014
Kerry Parker
CEO

Industry news

Genedata, a leading provider of advanced software solutions for drug discovery and life science research, today announced that the Genedata Biologics™ workflow management system will be among the featured presentations and poster sessions at the 10th Annual PEGS Protein Engineering Summit 2014. The Genedata Biologics platform, an end-to-end solution for biologics R&D processes, will be detailed in a presentation at the PEGS Engineering Bispecific Antibodies session. The presentation – “High-throughput Bispecifics Generation and Testing” – will examine how Genedata Biologics enables the systematic design and cloning of large numbers of novel molecules while automating downstream expression, purification, and characterization processes. Other capabilities of Genedata Biologics will also be featured in poster sessions at PEGS (Seaport World Trade Center; May 5-9).

Genedata Biologics – Enterprise Platform for Biopharma R&D
An established platform used by a growing number of leading biopharma R&D organizations, Genedata Biologics supports the entire biologics research and development processes, with a special focus on antibody screening, protein engineering and lead optimization, and biologics production workflows. Designed as an integrated platform to manage all biologics samples, molecules, and other R&D process-relevant data, Genedata Biologics supports day-to-day laboratory workflows and directly interfaces with laboratory instruments to facilitate data and sample handovers. A central registration engine provides unique naming and tracking of all biologics molecules, batches, and sequences, and relates these to relevant assay and analytics data. Full barcoding and automation support enable true high-throughput biologics R&D operations.

The PEGS poster sessions will showcase how Genedata Biologics enables flexible and ultra-high-throughput workflows, and how classic process bottlenecks can be removed. Poster sessions include:

High-throughput Hybridoma-based Antibody Discovery
Session: (IA) Phage and Yeast Display | Monday - Tuesday: May 5 - 6
Data-driven Antibody Engineering
Session: (IIA) Engineering Antibodies | Wednesday - Thursday (am): May 7 – 8
High-throughput Design, Production, and Evaluation of Multi-specific Antibodies
Session: (IIIA) Engineering Bispecific Antibodies | Thursday (pm) - Friday: May 8 - 9
“We are excited about the continued expansion of our Genedata Biologics platform, which now supports fully automated, high-throughput next-generation antibody generation and characterization,” said Dr. Othmar Pfannes, CEO of Genedata. “Our commitment to innovation and solution advancement is acknowledged by the increasing number of organizations that are making Genedata Biologics the platform of choice for biopharmaceutical R&D and manufacturing.”

Editorial Note: On May 8 at 2:40pm EDT, Genedata Biologics will be featured in the PEGS Engineering Bispecific Antibodies session -- “High-throughput Bispecifics Generation and Testing” by Maria Wendt, Ph.D., Senior Scientific Consultant. To schedule a briefing, contact biologics@genedata.com.

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ProteomicsProteomics is the systemic bioinformatics study of proteins and amino acids, including their structure, size, function and identification. Tools used in proteomics include chromatography, blotting and gels, protein arrays, mass spectrometry and ELISA and associated analysis software. Analyzers and proteomic systems should be sensitive, high resolution, fast and may be automated for high-throughput.High-Throughput ScreeningHigh-throughput screening (HTS) is an automated drug discovery technique for identification of active compounds against a compound library. Use HTS readers and integrated assay preparation / analysis workstations to screen your compounds. Identify active compounds against various HTS libraries, including membranes, proteins and peptides and HTS cell lines. Find the best high-throughput screening products in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Medicinal ChemistryMedicinal chemistry is a broad discipline encompassing the design, identification, synthesis and development of chemicals in drug discovery. It includes a number of techniques covering structural biology, synthetic chemistry and molecular biology. Technologies used in medicinal chemistry include ADME, lab-on-a-chip, high content screening and assay assembly.Protein PurificationProtein purification is a vital step in drug discovery, therapeutics, biotech and life science research. The purification process typically involves subcellular or membrane protein extraction with cell lysis kits, separation of proteins from cell debris by filtration or spin columns, and the isolation of proteins of interest from other proteins and impurities with affinity purification (including fusion protein tags and antibody binding proteins A, G and L), immunoprecipitation or chromatographic methods, such as ion exchange, size exclusion and immobilized metal affinity chromatography. All purification methods come in multiple formats for your laboratory needs, including agarose or magnetic beads, resins, columns and filter plates. Find the best protein purification equipment in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Discovery SoftwareComputational techniques used in both the chemistry and biology aspects of drug discovery, for data acquisition, processing and storage. Software is used for analysis of pathways, target identification, genomics, proteomics, modelling, lead identification, compound analysis and drug modelling among many others. Development SoftwareComputational techniques used in both the chemistry and biology aspects of drug development, for data acquisition, data analysis, processing and storage. Software is used for analysis of ADME results, toxicology, clinical trials and regulatory processes. Drug DevelopmentDrug development refers to the process of bringing a new drug to market.Protein BiologyThe analysis of protein expression, identity and function is vital for many areas of life science research and drug discovery. Some of the most commonly used techniques in protein analysis include Western blotting, electrophoresis and mass spectrometry.Lead OptimizationLead optimization is a phase in the drug discovery process. A lead is a compound that has demonstrated desired biological effects on a target. Optimization involves making chemical modifications to the structure in order to generate analogues of the original compound, which have higher potency and safety profiles.