Unknown

Dataset Information

0

Atomium-a Python structure parser.


ABSTRACT: SUMMARY:Structural biology relies on specific file formats to convey information about macromolecular structures. Traditionally this has been the PDB format, but increasingly newer formats, such as PDBML, mmCIF and MMTF are being used. Here we present atomium, a modern, lightweight, Python library for parsing, manipulating and saving PDB, mmCIF and MMTF file formats. In addition, we provide a web service, pdb2json, which uses atomium to give a consistent JSON representation to the entire Protein Data Bank. AVAILABILITY AND IMPLEMENTATION:atomium is implemented in Python and its performance is equivalent to the existing library BioPython. However, it has significant advantages in features and API design. atomium is available from atomium.bioinf.org.uk and pdb2json can be accessed at pdb2json.bioinf.org.uk. SUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.

SUBMITTER: Ireland SM 

PROVIDER: S-EPMC7203745 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

atomium-a Python structure parser.

Ireland Sam M SM   Martin Andrew C R ACR  

Bioinformatics (Oxford, England) 20200501 9


<h4>Summary</h4>Structural biology relies on specific file formats to convey information about macromolecular structures. Traditionally this has been the PDB format, but increasingly newer formats, such as PDBML, mmCIF and MMTF are being used. Here we present atomium, a modern, lightweight, Python library for parsing, manipulating and saving PDB, mmCIF and MMTF file formats. In addition, we provide a web service, pdb2json, which uses atomium to give a consistent JSON representation to the entire  ...[more]

Similar Datasets

| S-EPMC3461484 | biostudies-literature
| S-EPMC4762566 | biostudies-literature
| S-EPMC5136132 | biostudies-literature
| S-EPMC9850437 | biostudies-literature
| S-EPMC10896898 | biostudies-literature
| S-EPMC4426836 | biostudies-literature
| S-EPMC10685441 | biostudies-literature
| S-EPMC5734304 | biostudies-literature
| PRJNA61267 | ENA
| PRJNA277385 | ENA