Literature DB >> 17945915

Building a structured PDB: the RS-PDB database.

Zoltán Szabadka1, Vince Grolmusz.   

Abstract

A method for automatically analyzing structures deposited in the Protein Data Bank is presented. The method is capable to detect missing atoms, bond length deviations, atom bumps and to correctly identify protein-ligand complexes. The results are organized into a database, called the Rich Structure PDB (RS-PDB in short) from which one can easily select PDB entries satisfying diverse sets of requirements. The newer and richer mmCIF format of both the PDB and its chemical component dictionary (formerly the HET Group Dictionary) were used in the construction, and the International Chemical Identifier (InChI) of IUPAC played a main role in correctly identifying distinct ligands.

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Year:  2006        PMID: 17945915     DOI: 10.1109/IEMBS.2006.259331

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

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Authors:  Wendy A Warr
Journal:  J Comput Aided Mol Des       Date:  2015-06-17       Impact factor: 3.686

2.  Discovering amino acid patterns on binding sites in protein complexes.

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3.  BioDB extractor: customized data extraction system for commonly used bioinformatics databases.

Authors:  Rajiv Karbhal; Sangeeta Sawant; Urmila Kulkarni-Kale
Journal:  BioData Min       Date:  2015-10-28       Impact factor: 2.522

4.  Sequence-based prediction of physicochemical interactions at protein functional sites using a function-and-interaction-annotated domain profile database.

Authors:  Min Han; Yifan Song; Jiaqiang Qian; Dengming Ming
Journal:  BMC Bioinformatics       Date:  2018-06-01       Impact factor: 3.169

5.  Being a binding site: characterizing residue composition of binding sites on proteins.

Authors:  Gábor Iván; Zoltán Szabadka; Vince Grolmusz
Journal:  Bioinformation       Date:  2007-12-30

6.  Analyzing the simplicial decomposition of spatial protein structures.

Authors:  Rafael Ordög; Zoltán Szabadka; Vince Grolmusz
Journal:  BMC Bioinformatics       Date:  2008       Impact factor: 3.169

  6 in total

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