Protein's conformational structure prediction via pattern recognition and constraint satisfaction methods

dc.contributor.author	Matkarimov, B.
dc.contributor.author	Takhanov, R.
dc.date.accessioned	2015-10-26T09:16:33Z
dc.date.available	2015-10-26T09:16:33Z
dc.date.issued	2014
dc.identifier.isbn	9786018046728
dc.identifier.uri	http://nur.nu.edu.kz/handle/123456789/462
dc.description.abstract	The prediction of protein's native structure given its amino acid sequence is one of the central problems in modern computational biology/biophysics/biochemistry and computer science. Today there are more than 80000 3D structures of various biomacromolecules at the open access, e.g. in Protein Data Bank (PDB), and these databases have exponential growth rate. Project goal is to design and implement computing experiments related to biomacromolecular folding problem. This includes the development of high performance bioinformatics software.	ru_RU
dc.language.iso	en	ru_RU
dc.publisher	Nazarbayev University	ru_RU
dc.subject	biology	ru_RU
dc.subject	biophysics	ru_RU
dc.subject	biochemistry	ru_RU
dc.subject	biomacromolecules	ru_RU
dc.subject	bioinformatics software	ru_RU
dc.subject	computer science	ru_RU
dc.title	Protein's conformational structure prediction via pattern recognition and constraint satisfaction methods	ru_RU
dc.type	Abstract	ru_RU