Brutlag, D. L. and Sternberg, M. (1996). Sequences and Topology: Challenges for Algorithms and Experts. Current Opinions in Structural Biology, 6(3), 343-345.
Department of
Biochemistry, Stanford
University School of Medicine, Stanford,
California 94305-5307.
For more than a decade, it has been widely recognised that genome
studies will be yielding a rapidly increasing number of nucleic acid
and protein sequences requiring computer methods for storage and
interpretation . Although many of the tools of sequence analysis
(e.g. alignment algorithms by dynamic programming) have been
available for many years, the challenges of performing these tasks
with sensitivity and accuracy continues to stimulate innovation. This
collection of review will highlight several recent developments in
sequence analysis. By contrast, only in the last few years has the
number of known protein topologies solved by crystallography and NMR
is increasing rapidly and this now has focused interest on similar
problems to those previously identified for sequences. Here we report
on recent methods scanning structural databases for three-dimensional
similarities. These computer tools for sequence and structural
comparisons are now being used, tougher with expertise, to construct
libraries of sequence motifs and fold families. We included in our
review articles on newly identifies sequence and structural
motifs.
The growth of sequence data emphasised to wider community the
importance of predicting of protein structure from sequence.
Similarly as more protein structures are solved there will be an
increasing need to model their associations and accordingly we end
our collection of reviews with an article on recent developments in
protein docking.
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