The Prediction of Membrane Protein Structure and Genome Structural Annotation
نویسندگان
چکیده
New methods, essentially based on hidden Markov models (HMM) and neural networks (NN), can predict the topography of both beta-barrel and all-alpha membrane proteins with high accuracy and a low rate of false positives and false negatives. These methods have been integrated in a suite of programs to filter proteomes of Gram-negative bacteria, searching for new membrane proteins.
منابع مشابه
Chapter 11: Genome-wide protein structure prediction
The post-genomic era has witnessed an explosion of protein sequences in the public databases; but this has not been complemented by the availability of genome-wide structure and function information, due to the technical difficulties and labor expenses incurred by existing experimental techniques. The rapid advancements in computer-based protein structure prediction methods have enabled automat...
متن کاملProtein Function Prediction in Proteomics Era
The increasing number of genome sequences has become an essential data for biology of this century and function annotation to genes in those genomes is basis of the all biological research. To overcome the limitation of conventional homology-based function annotation methods, here we introduce two types of approaches: A sequence-based approach and a protein surface tertiary shape based approach...
متن کاملGenome-wide Membrane Protein Structure Prediction
Transmembrane proteins allow cells to extensively communicate with the external world in a very accurate and specific way. They form principal nodes in several signaling pathways and attract large interest in therapeutic intervention, as the majority pharmaceutical compounds target membrane proteins. Thus, according to the current genome annotation methods, a detailed structural/functional char...
متن کاملServers for protein structure prediction.
The 1990s cultivated a generation of protein structure human predictors. As a result of structural genomics and genome sequencing projects, and significant improvements in the performance of protein structure prediction methods, a generation of automated servers has evolved in the past few years. Servers for close and distant homology modeling are now routinely used by many biologists, and have...
متن کاملSUPERFAMILY: HMMs representing all proteins of known structure. SCOP sequence searches, alignments and genome assignments
The SUPERFAMILY database contains a library of hidden Markov models representing all proteins of known structure. The database is based on the SCOP 'superfamily' level of protein domain classification which groups together the most distantly related proteins which have a common evolutionary ancestor. There is a public server at http://supfam.org which provides three services: sequence searching...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Comparative and Functional Genomics
دوره 4 شماره
صفحات -
تاریخ انتشار 2003