生物信息学,分子生物二次数据库,BioPerl,MVC模型 BioinformaticsMolecular Biology Secondary DatabaseBioPerlMVC Model在生物信息学中,建立生物二次数据库可以针对特定物种进行更深入的研究。针对分子生物学二次数据库资源平台的构建的迫切需要,利用biosql构建了分子生物学二次数据库,运用tomcat 6.0 + Myeclipse + mysql...
Facilities provided in this database allow structure-sequence analysis studies faster, more reliable and suitable. Now, the database is located on IBB Bioinformatics Center (IBC) server. The interface can be accessed via: http://www.ibc.ut.ac.ir/pssd/. 展开 ...
Eliminating the duplicates and proteins of residue length less than 30, we have got a non redundant database of 80,592. We developed a search algorithm FIND-SIM to find similar primary sequence substrings in a query protein and target proteins. Some examples of full secondary structure matches...
These two independent predictions allow one to optimize the parameters calculated over the secondary structure database to provide the final prediction of secondary structure. This method has been tested on 59 proteins in the database (i.e. 10,322 residues) and yields 72% success in class ...
Sequences from cat, lynx, elephant, gopher and orangutan complement the previous database of sequences from human, mouse, rat and rabbit. Hypothetical translation of the resulting sequences shows an absence of conserved ORFs of any size. Free energy and covariational analysis of the RNA sequence...
The database is updated regularly and is available through Bioinformatics web server at http://cluster.physics.iisc.ernet.in/ssep/ or http://144.16.71.148/ssep/. 展开 关键词: secondary structural elements proteins DOI: 10.1093/nar/gkg507 ...
Our goal was to develop a computer program that can describe an RNA structural element of any complexity and then search any nucleotide sequence database, including the complete prokaryotic and eukaryotic genomes, for these structural elements. Here we describe in detail a new computational motif ...
Protein secondary structure prediction is one of the most important and challenging problems in bioinformatics. Machine learning techniques have been applied to solve the problem and have gained substantial success in this research area. However there is still room for improvement toward the theoretical ...
The PSS-SQL language (Protein Secondary Structure - Structured Query Languaage) that we have designed and developed supports searching the database against proteins having their secondary structures similar to the structure specified in a ... D Mrozek 被引量: 1发表: 2010年 Multithreaded PSS-SQL ...
2007. Protein backbone chemical shifts predicted from searching a database for torsion angle and sequence homology. J. Biomol. NMR. 38: 289-302... Y Shen,A Bax - 《Journal of Biomolecular Nmr》 被引量: 479发表: 2007年 Protein structure prediction using a combination of sequence homology and...