Skip to main content

The application of graph theory and high performance computing medical diagnostics and nanotechnology

The commercial application is the integrated system for detection of new regulatory elements located in the non coding genome parts. Until now many human disorders have been found to be connected to some of the noncoding RNA’s. Detection of new noncoding elements and correlation with SNP (Single Nucleotide Polymorphysm) databases may allow help to detect and explain cause of other types of cancer and diseases.
Computational prediction of ncRNAs in genomic sequences would also allow experimental testing of expression levels, functional assay by deletion or mutagenesis, structural analysis and identification of protein or nucleic acid interaction partners.
Another application is so called RNA nanotechnology. It is designing of nanoparticles, which are assembled mainly from ribonucleic acid which possess both the right size and ability to gain entry into cells and halt viral growth or cancer's progress or deliver drugs. Some of those nanoparticles has been successfully tested in mice and lab-grown human cells

Comments

Popular posts from this blog

International Supercomputing Conference, Hamburg, Germany 23th June 2009

The International Supercomputing Conference is the Europe’s premier HPC event. The attendance allows observing trends science and technology of High Performance Computing for whole next year. 2009 edition achieved record numbers of attendees and exhibitors, a level of success even more impressive given the international economic crisis. With its move to Hamburg, ISC’09 reached a significantly higher level of attendance, bringing 1,670 HPC industry leaders. Research labs demonstrated their scientific applications of supercomputing in most recent fields such us GPGPU accelerators, clouds and green computing. Furthermore, this, ISC’09 also welcomed several first-time exhibitors. The exhibition brought countless highlights such as the demo of both the IS5000 40 Gb/s infniband switches and low-latency 10 Gigabit Ethernet. The attendance on ISC’09 allows to anticipate future development of ATLAS system and to present current achievements’ of ToK4nEDA team.








NaRCiSuS

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.…