Detalle de: Taking biological structure communications into the third dimension
| Title | Taking biological structure communications into the third dimension |
| Abstract |
2019) present a text-mining tool for automatic protein-residue annotation in published papers.The tool, called pyresid, searches the text of an article for references to amino acids, then identifies the relevant protein and links that amino acid reference in the text to the residue in the associated PDB or mmcif file(s).In doing so, it enables the reader, at the touch of a button, to jump to the relevant part of the 3D structure.By the time you read this, our developer, Simon Westrip, will have implemented an annotation system for all our Acta F articles that uses pyresid behind the scenes.For example, if you are reading this online, you can navigate to Mank et al. (2018), 'Structure of aspartate -semialdehyde dehydrogenase from Francisella tularensis' or to Molina et al. (2018), 'Structure and stability of the human respiratory syncytial virus M2-1 RNAbinding core domain reveals a compact and cooperative folding unit'.Clicking on one of the highlighted amino acids in these articles will bring up a simple structure browser (based on 3Dmol.js;Rego & Koes, 2015), showing where the selected residue is in the 3D structure.Using the spanner icon, you can display the protein in cartoon format, stick format or ball-and-stick format.It will also allow you to hide or display water molecules and choose a white or black background.For display of the associated experimental electron density, you will need to open a specialized structure visualization program but this may be included in future versions if the annotations prove popular. |
| Apa Reference | van Raaij, M. J., & Newman, J. (2019). Taking biological structure communications into the third dimension. Acta Crystallographica Section F Structural Biology Communications, 75(11), 663–664. 10.1107/s2053230x19014754 |
| Doi | 10.1107/S2053230X19014754 |
| Publication Date | 1 Nov 2019 |
| Publication Type | Article |
| Researcher | Mark van Raaij |
| Ontology | Structural bioinformatics, Text mining |
| Research Groups | Structural Biology of Virus Proteins |
| Tools |
