نتایج جستجو برای: prosite

تعداد نتایج: 274  

2004
Noam Kaplan Michal Linial

Computational protein annotation methods occasionally introduce errors. False-positive (FP) errors are annotations that are mistakenly associated with a protein. Such false annotations introduce errors that may spread into databases through similarity with other proteins. We present a protein-clustering method that enables automatic separation of FP from true-positive hits. The method is based ...

Journal: :Bioinformation 2007
Kalidoss Ramamoorthy Sirisha Potala Rama Shanker Verma

Lack of crystal structure data of folate binding proteins has left so many questions unanswered (for example, important residues in active site, binding domain, important amino acid residues involved in interactions between ligand and receptor). With sequence alignment and PROSITE motif identification, we attempted to answer evolutionarily significant residues that are of functional importance ...

Journal: :Proceedings. International Conference on Intelligent Systems for Molecular Biology 1996
Alvis Brazma Inge Jonassen Esko Ukkonen Jaak Vilo

We consider the problem of automatic discovery of patterns and the corresponding subfamilies in a set of biosequences. The sequences are unaligned and may contain noise of unknown level. The patterns are of the type used in PROSITE database. In our approach we discover patterns and the respective subfamilies simultaneously. We develop a theoretically substantiated significance measure for a set...

Journal: :Nucleic acids research 2001
Stefan Gräf Dirk Strothmann Stefan Kurtz Gerhard Steger

The database, called HyPaLib (for Hybrid Pattern Library), contains annotated structural elements characteristic for certain classes of structural and/or functional RNAs. These elements are described in a language specifically designed for this purpose. The language allows convenient specification of hybrid patterns, i.e. motifs consisting of sequence features and structural elements together w...

Journal: :Nucleic acids research 2003
Burkhard Rost Jinfeng Liu

PredictProtein (http://www.predictprotein.org) is an Internet service for sequence analysis and the prediction of protein structure and function. Users submit protein sequences or alignments; PredictProtein returns multiple sequence alignments, PROSITE sequence motifs, low-complexity regions (SEG), nuclear localization signals, regions lacking regular structure (NORS) and predictions of seconda...

2009
Dominique Koua Lorenzo Cerutti Laurent Falquet Christian J. A. Sigrist Grégory Theiler Nicolas Hulo Christophe Dunand

Peroxidases (EC 1.11.1.x), which are encoded by small or large multigenic families, are involved in several important physiological and developmental processes. They use various peroxides as electron acceptors to catalyse a number of oxidative reactions and are present in almost all living organisms. We have created a peroxidase database (http://peroxibase.isb-sib.ch) that contains all identifi...

Journal: :Proceedings. International Conference on Intelligent Systems for Molecular Biology 1995
Timothy L. Bailey Charles Elkan

MEME is a tool for discovering motifs in sets of protein or DNA sequences. This paper describes several extensions to MEME which increase its ability to find motifs in a totally unsupervised fashion, but which also allow it to benefit when prior knowledge is available. When no background knowledge is asserted. MEME obtains increased robustness from a method for determining motif widths automati...

Journal: :Journal of computational biology : a journal of computational molecular cell biology 2003
Gonzalo Navarro Mathieu Raffinot

The problem of fast exact and approximate searching for a pattern that contains classes of characters and bounded size gaps (CBG) in a text has a wide range of applications, among which a very important one is protein pattern matching (for instance, one PROSITE protein site is associated with the CBG [RK] - x(2,3) - [DE] - x(2,3) - Y, where the brackets match any of the letters inside, and x(2,...

Journal: :Computer applications in the biosciences : CABIOS 1997
Alexander G. Bachinsky Andrey A. Yarigin E. H. Guseva V. A. Kulichkov Lily Ph. Nizolenko

A method and software tool to develop patterns of protein families has been designed. These patterns are intended for the identification of local similarities in arbitrary amino acid sequences with proteins of the SWISS-PROT bank. The method is based on the physical, chemical and structural properties of amino acids. It assembles a 'best set' of elements (a pattern) for a given group of aligned...

Journal: :In Silico Biology 2003
Lily Ph. Nizolenko Alexander G. Bachinsky Andrey N. Naumochkin Andrey A. Yarigin Dmitry A. Grigorovich

Resume Motivation: When analysing novel protein sequences, it is now essential to extend search strategies to include a range of 'secondary' databases. Pattern databases have become vital tools for identifying distant relationships in sequences, and hence for predicting protein function and structure. The main drawback of such methods is the relatively small representation of proteins in trial ...

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