title: Amino acid partitioning using a Fiedler vector model.
abstract: This paper presents a new Fiedler vector model for categorising amino acids, which is based on the Miyazawa-Jernigan matrix. The model splits the amino acid residues into two hydrophobic groups (LFI) and (MVWCY) and two polar groups (HATGP) and (RQSNEDK). In so doing, it independently confirms the findings of Wang and Wang and Cieplak et al. and demonstrates the validity of using eigenvectors to partition amino acid groups.
authors.affiliation: Medical Biophysics Group, School of Engineering, Design and Technology, University of Bradford, BD71DP Bradford, UK. S.J.Shepherd@Bradford.ac.uk
authors.forename: S J
authors.initials: SJ
authors.lastname: Shepherd
authors.forename: C B
authors.initials: CB
authors.lastname: Beggs
authors.forename: S
authors.initials: S
authors.lastname: Jones
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D000596:Amino Acids / Q000737:chemistry*; D003198:Computer Simulation; D008956:Models, Chemical; D008958:Models, Molecular; D008969:Molecular Sequence Data; D011506:Proteins / Q000737:chemistry* / Q000648:ultrastructure*; D020539:Sequence Analysis, Protein / Q000379:methods*
chemical_list: D000596:Amino Acids; D011506:Proteins