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 gamma-turn or a beta-
turn. We refer to these as multiple turns of the (gamma beta)(1,2,3) or (be
ta gamma)(1,2,3) type, depending upon whether the gamma-turn is before or a
fter the beta-turn along the protein chain, respectively. However, for mult
iple turns involving only gamma-turns, we follow the nomenclature analogous
to that proposed earlier for the multiple (or double) beta-turns. Fifty-ei
ght per cent beta-turns are associated as multiple turns with another beta-
turn. We extracted multiple turns from the protein dataset and classified t
hem on the basis of individual gamma- or beta-turn types and the number of
overlapping residues. Furthermore, we evaluated the amino acid positional p
otentials and determined the statistically significant amino acid preferenc
es, 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, predic
tion or design of multiple turns in proteins. The amino acid sequence corre
sponding to the multiple turn, position in the protein chain, PDB Code/chai
n in which multiple turn is present and the individual turn types constitut
ing 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.orq.in/dsmp.html).