DBMFHS:
Data Base of Minimally-Frustrated Helical Segments
Data Base Sorted by Entropy level
Reference: ISMB99
A Data Base of Minimally Frustrated Alpha Helical Segments Extracted from Proteins According to an Entropy Criterion
Rita Casadio (a, b), Mario Compiani (a, c), Piero Fariselli (a) and Pier Luigi Martelli (a)
(a) CIRB, Biocomputing unit, University of Bologna;
(b) Laboratory of Biophysics, Dept.of Biology, Via Irnerio
42, I-40126-Bologna, Italy;
(c) Dept of Chemical Sciences, University of Camerino;
Abstract
A data base of minimally frustrated alpha helical segments
is defined by filtering a set comprising 822 non redundant proteins, which
contain 4783 alpha helical structures. The data
base definition is performed using a
neural networkbased alpha helix predictor,
whose outputs are rated according to an
entropy criterion. A comparison with the
presently available experimental results indicates
that a subset of the data base contains
the initiation sites of protein folding experimentally
detected and also protein fragments which
fold into stable isolated alpha helices.
This suggests the usage of the data
base (and/or of the predictor) to highlight patterns
which govern the stability of alpha helices in proteins and the helical
behavior of isolated protein fragments.