Skip to main content

1st BioScience Partnering Event: Berlin - Brandenburg meets Poznan

The BioScience Partnering event provided excellent opportunities for researchers and representatives in the area of Life Sciences and Biotechnology from both regions to establish new contacts and joint activities.

The program included presentations of both regions followed by scientific talks about key science activities and important research topics in the Life Sciences. Participants were invited to present a poster at the venue. The initiative BioScience Partnering invited all participants to apply for a traveling grant to bring forward new ideas for bilateral cooperation. Furthermore, the co:bios FOUNDATION offered the possibility for PhD students to participate at a research project in the region Berlin-Brandenburg. The event was jointly organised by the BioScience Partnering initiative of Berlin-Brandenburg together with the Adam Mickiewicz University Poznan (Poland). As an activity in the context of the German-Polish Year the meeting was supported by the Bundesminsterium für Bildung und Forschung (BMBF). For more information please visit our homepage:
Post a Comment

Popular posts from this blog


Structural genomics is the wide term which describes process of determination of structure representation of information in human genome and at present is limited almost exclusively on proteins. Although in common understanding genetic information means “genes and their encoded protein products”, thousands of human genes produce transcripts which are important in biological point of view but they do not necessarily produce proteins. Furthermore, even though the sequence of the human DNA is known by now, the meaning of the most of the sequences still remains unknown. It is very likely that a large amount of genes has been highly underestimated, mainly because the actual gene finders only work well for large, highly expressed, evolutionary conserved protein-coding genes. Most of those genome elements encode for RNA from which transfer and ribosomal RNAs are the classical examples. But beside these well-known molecules there is a vast unknown world of tiny RNAs that might play a crucial …

Application and implementation of probabilistic profile-profile comparison methods for protein fold recognition

Fold recognition is a method of fold detecting and protein tertiary structure prediction applied for proteins lacking homologues sequences of known fold and structure deposited in the Protein Data Bank. They are based on assumption that there is strictly limited number of different protein folds in nature, mostly as a result of evolution and due to basic physical and chemical constraints of polypeptide chains. Fold recognition methods are useful for protein structure prediction, evolutionary analysis, metabolic pathways and enzymatic efficiency prediction, molecular docking and drug design. Currently there are about 1300 discovered and characterized protein folds in SCOP and CATH databases. Every newly discovered protein sequence has significant chances to be classified into one of those folds. Many different approaches have been proposed for finding the correct fold for a new sequence and it is often useful to include evolutionary information for query as well as for target proteins.…

GPGPU Accelerated Sparse Linear Solver for Fast Simulation of On-Chip Coupled Problems

Continued device scaling into the nanometer region has given rise to new effects that previously had negligible impact but now present greater challenges to designing successful mixed-signal silicon. Design efforts are further exacebated by unprecedented computational resource requirements for accurate design simulation and verification. This paper presents a GPGPU accelerated sparse linear solver for fast simulation of on-chip coupled problems using nVIDIA and ATI GPGPU accelerators on a multi-core computational cluster and evaluate parallelization strategies from a computational perspective.