BioMine: A database for metazoan biomineralization proteins
1
Department of Biology, Pennsylvania State University, University Park, Pennsylvania, United States of America
2
Red Sea Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- Published
- Accepted
- Subject Areas
- Bioinformatics, Computational Biology, Evolutionary Studies, Genomics
- Keywords
- Biomineralization, Evolution, Skeleton, Calcification
- Copyright
- © 2016 Hanna et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. BioMine: A database for metazoan biomineralization proteins. PeerJ Preprints 4:e1983v1 https://doi.org/10.7287/peerj.preprints.1983v1
Abstract
Biomineralization is the process by which living organisms construct hard skeletons creating complex structures that range from specialized tissues such as bone or teeth to ecosystems such as coral reefs. Biominerals are composed of both inorganic minerals and proteins, which give them extra hardness and special attributes. Biomineralization proteins are also known to be associated with multiple bone disorders and are therefore of biomedical importance. Herein we describe BioMine, a biomineralization centric protein database. Availability and implementation: BioMine can be accessed at http://biomine.net, SQL dump, FASTA files and source code are available for download as well.
Author Comment
This is a preprint submission to PeerJ Preprints.