SpeeDB: fast structural protein searches
نویسندگان
چکیده
MOTIVATION Interactions between amino acids are important determinants of the structure, stability and function of proteins. Several tools have been developed for the identification and analysis of such interactions in proteins based on the extensive studies carried out on high-resolution structures from Protein Data Bank (PDB). Although these tools allow users to identify and analyze interactions, analysis can only be performed on one structure at a time. This makes it difficult and time consuming to study the significance of these interactions on a large scale. RESULTS SpeeDB is a web-based tool for the identification of protein structures based on structural properties. SpeeDB queries are executed on all structures in the PDB at once, quickly enough for interactive use. SpeeDB includes standard queries based on published criteria for identifying various structures: disulphide bonds, catalytic triads and aromatic-aromatic, sulphur-aromatic, cation-π and ionic interactions. Users can also construct custom queries in the user interface without any programming. Results can be downloaded in a Comma Separated Value (CSV) format for further analysis with other tools. Case studies presented in this article demonstrate how SpeeDB can be used to answer various biological questions. Analysis of human proteases revealed that disulphide bonds are the predominant type of interaction and are located close to the active site, where they promote substrate specificity. When comparing the two homologous G protein-coupled receptors and the two protein kinase paralogs analyzed, the differences in the types of interactions responsible for stability accounts for the differences in specificity and functionality of the structures. AVAILABILITY AND IMPLEMENTATION SpeeDB is available at http://www.parallelcomputing.ca as a web service. CONTACT [email protected] SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
منابع مشابه
An Effective Filter for IBD Detection in Large Data Sets
Identity by descent (IBD) inference is the task of computationally detecting genomic segments that are shared between individuals by means of common familial descent. Accurate IBD detection plays an important role in various genomic studies, ranging from mapping disease genes to exploring ancient population histories. The majority of recent work in the field has focused on improving the accurac...
متن کاملDesktop and Web-based GESAMT Software for Fast and Accurate Structural Queries in the PDB
New software for fast screening of the Protein Data Bank in 3 dimensions is presented. The software represents a multi-threaded version of the Gesamt algorithm, described in a separate publication. The software is implemented as a Qt-powered desktop application QtGesamt, dedicated "Structural Alignment" task in the new CCP4 web-application "jsCoFE" (http://ccp4serv6.rcharwell.ac.uk/jscofe/), as...
متن کاملEfficient RNA pairwise structure comparison by SETTER method
MOTIVATION Understanding the architecture and function of RNA molecules requires methods for comparing and analyzing their 3D structures. Although a structural alignment of short RNAs is achievable in a reasonable amount of time, large structures represent much bigger challenge. However, the growth of the number of large RNAs deposited in the PDB database calls for the development of fast and a...
متن کاملiSARST: an integrated SARST web server for rapid protein structural similarity searches
iSARST is a web server for efficient protein structural similarity searches. It is a multi-processor, batch-processing and integrated implementation of several structural comparison tools and two database searching methods: SARST for common structural homologs and CPSARST for homologs with circular permutations. iSARST allows users submitting multiple PDB/SCOP entry IDs or an archive file conta...
متن کاملThe URMS-RMS Hybrid Algorithm for Fast and Sensitive Local Protein Structure Alignment
We present an efficient and sensitive hybrid algorithm for local structure alignment of a pair of 3D protein structures. The hybrid algorithm employs both the URMS (unit-vector root mean squared) metric and the RMS metric. Our algorithm searches efficiently the transformation space using a fast screening protocol; initial transformations (rotations) are identified using the URMS algorithm. Thes...
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:
- Bioinformatics
دوره 31 18 شماره
صفحات -
تاریخ انتشار 2015