title: HPDB-Haskell library for processing atomic biomolecular structures in Protein Data Bank format.
abstract: BACKGROUND
  Protein DataBank file format is used for the majority of biomolecular data available today. Haskell is a lazy functional language that enjoys a high-level class-based type system, a growing collection of useful libraries and a reputation for efficiency.
  
  
  RESULTS
  I present a fast library for processing biomolecular data in the Protein Data Bank format. I present benchmarks indicating that this library is faster than other frequently used Protein Data Bank parsing programs. The proposed library also features a convenient iterator mechanism, and a simple API modeled after BioPython.
  
  
  CONCLUSIONS
  I set a new standard for convenience and efficiency of Protein Data Bank processing in a Haskell library, and release it to open source.
authors.affiliation: NMR-2, Max Planck Institute for Biophysical Chemistry, Am Faßberg 11, Göttingen, Germany. miga@nmr.mpibpc.mpg.de.
authors.forename: Michał Jan
authors.initials: MJ
authors.lastname: Gajda
mesh_terms: D016208:Databases, Factual; D019151:Peptide Library; D011506:Proteins / Q000737:chemistry / Q000235:genetics*; D014584:User-Computer Interface
chemical_list: D019151:Peptide Library; D011506:Proteins