title: Analysis of gammabeta, betagamma, gammagamma, betabeta multiple turns in proteins.
abstract: The number of gamma-turns in a representative protein dataset selected from the current Protein Data Bank has increased almost seven times during the past decade. Eighty percent classic gamma-turns and 57% inverse gamma-turns are associated as multiple turns with either another y-turn or a beta-turn. We refer to these as multiple turns of the (gammabeta)1,2,3 or (betagamma)1,2,3 type, depending upon whether the gamma-turn is before or after the beta-turn along the protein chain, respectively. However, for multiple turns involving only gamma-turns, we follow the nomenclature analogous to that proposed earlier for the multiple (or double) beta-turns. Fifty-eight per cent beta-turns are associated as multiple turns with another beta-turn. We extracted multiple turns from the protein dataset and classified them on the basis of individual gamma- or beta-turn types and the number of overlapping residues. Furthermore, we evaluated the amino acid positional potentials and determined the statistically significant amino acid preferences, hydrogen bond/side-chain interaction preferences in the multiple turns and secondary structure preferences for residues immediately flanking these turns. The results of our analysis would be useful in the modeling, prediction or design of multiple turns in proteins. The amino acid sequence corresponding to the multiple turn, position in the protein chain, PDB Code/chain in which multiple turn is present and the individual turn types constituting the multiple turns are available from our website and this information would also be integrated in our Database of Structural Motifs in Proteins (http://www.cdfd.org.in/dsmp.html).
authors.affiliation: Centre for DNA Fingerprinting and Diagnostics, Nacharam, Hyderabad, India. guru@www.cdfd.org.in
authors.forename: K
authors.initials: K
authors.lastname: Guruprasad
authors.forename: M S
authors.initials: MS
authors.lastname: Prasad
authors.forename: G R
authors.initials: GR
authors.lastname: Kumar
mesh_terms: D020816:Amino Acid Motifs; D000596:Amino Acids / Q000378:metabolism; D018360:Crystallography, X-Ray; D016208:Databases, Factual; D019143:Evolution, Molecular; D006860:Hydrogen Bonding; D020407:Internet; D008958:Models, Molecular; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism
chemical_list: D000596:Amino Acids; D011506:Proteins