Literature DB >> 15217820

PTGL--a web-based database application for protein topologies.

Patrick May1, Stefan Barthel, Ina Koch.   

Abstract

Protein Topology Graph Library (PTGL) is a database application for the representation and retrieval of protein topologies. Protein topologies are based on a graph-theoretical protein model at secondary structure level. Different views on protein topology are given by four linear notations for their characterization. Protein topologies can be derived at different description levels considering alpha- and beta-structures. The on-line search tool is based on an object-relational database and provides a query browser for data interrogation by string patterns, keyword queries and sequence similarity. Protein topologies are represented both as schematic diagrams and as three-dimensional images.

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Year:  2004        PMID: 15217820     DOI: 10.1093/bioinformatics/bth367

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  Computational study of pH-dependent oligomerization and ligand binding in Alt a 1, a highly allergenic protein with a unique fold.

Authors:  María Garrido-Arandia; Jorge Bretones; Cristina Gómez-Casado; Nuria Cubells; Araceli Díaz-Perales; Luis F Pacios
Journal:  J Comput Aided Mol Des       Date:  2016-04-18       Impact factor: 3.686

Review 2.  Emerging landscape of molecular interaction networks:Opportunities, challenges and prospects.

Authors:  Gauri Panditrao; Rupa Bhowmick; Chandrakala Meena; Ram Rup Sarkar
Journal:  J Biosci       Date:  2022       Impact factor: 2.795

3.  PTGL: a database for secondary structure-based protein topologies.

Authors:  Patrick May; Annika Kreuchwig; Thomas Steinke; Ina Koch
Journal:  Nucleic Acids Res       Date:  2009-11-11       Impact factor: 16.971

4.  Connectivity independent protein-structure alignment: a hierarchical approach.

Authors:  Bjoern Kolbeck; Patrick May; Tobias Schmidt-Goenner; Thomas Steinke; Ernst-Walter Knapp
Journal:  BMC Bioinformatics       Date:  2006-11-21       Impact factor: 3.169

  4 in total

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