title: SoyProDB: A database for the identification of soybean seed proteins.
abstract: Soybean continues to serve as a rich and inexpensive source of protein for humans and animals. A substantial amount of information has been reported on the genotypic variation and beneficial genetic manipulation of soybeans. For better understanding of the consequences of genetic manipulation, elucidation of soybean protein composition is necessary, because of its direct relationship to phenotype. We have conducted studies to determine the composition of storage, allergen and anti-nutritional proteins in cultivated soybean using a combined proteomics approach. Two-dimensional polyacrylamide gel electrophoresis (2DPAGE) was implemented for the separation of proteins along with matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS) and liquid chromatography mass spectrometry (LC-MS/MS) for the identification of proteins. Our analysis resulted in the identification of several proteins, and a web based database named soybean protein database (SoyProDB) was subsequently built to house and allow scientists to search the data. This database will be useful to scientists who wish to genetically alter soybean with higher quality storage proteins, and also helpful for consumers to get a greater understanding about proteins that compose soy products available in the market. The database is freely accessible.
  
  
  BACKGROUND
  http://bioinformatics.towson.edu/Soybean_Seed_Proteins_2D_Gel_DB/Home.aspx.
authors: Department of computer and information sciences, Towson University, Towson, MD 21252, USA.
authors: Mona
authors: M
authors: Tavakolan
authors: Nadim W
authors: NW
authors: Alkharouf
authors: Farooq H
authors: FH
authors: Khan
authors: Savithiry
authors: S
authors: Natarajan
keywords: 2D-PAGE; Allergen proteins; Conglycinin; Glycinin; LC-MS/MS; MALDI-TOF-MS; Soybean