title: The MEMPACK alpha-helical transmembrane protein structure prediction server.
abstract: BACKGROUND
  The experimental difficulties of alpha-helical transmembrane protein structure determination make this class of protein an important target for sequence-based structure prediction tools. The MEMPACK prediction server allows users to submit a transmembrane protein sequence and returns transmembrane topology, lipid exposure, residue contacts, helix-helix interactions and helical packing arrangement predictions in both plain text and graphical formats using a number of novel machine learning-based algorithms.
  
  
  BACKGROUND
  The server can be accessed as a new component of the PSIPRED portal by at http://bioinf.cs.ucl.ac.uk/psipred/.
authors.affiliation: Department of Computer Science, University College London, London, UK. t.nugent@cs.ucl.ac.uk
authors.forename: Timothy
authors.initials: T
authors.lastname: Nugent
authors.forename: Sean
authors.initials: S
authors.lastname: Ward
authors.forename: David T
authors.initials: DT
authors.lastname: Jones
mesh_terms: D000465:Algorithms; D019843:Archaeal Proteins / Q000737:chemistry; D001185:Artificial Intelligence; D008565:Membrane Proteins / Q000737:chemistry*; D017433:Protein Structure, Secondary; D017494:Proton Pumps
chemical_list: D019843:Archaeal Proteins; D008565:Membrane Proteins; C055476:archaerhodopsin protein, Archaea; D017494:Proton Pumps