Protein Engineering, Vol 11, 263-277, Copyright © 1998 by Oxford University Press
M Rosen, SL Lin, H Wolfson and R Nussinov
Here we examine the reliability of surface comparisons in searches for
active sites in proteins. Detection of a patch of surface on one protein
which is similar to an active site in another, may suggest similarities in
enzymatic mechanisms, in enzyme functions and implicate a potential target
for ligand/inhibitor design. Specifically, we compare the efficacy of
molecular surface comparisons with comparisons of surface atoms and of
C(alpha) backbone atoms. We further investigate comparisons of specific
atoms, belonging to a predefined pattern of catalytic residues versus
comparisons of molecular surfaces and, separately, of surface atoms. This
aspect is particularly relevant, as catalytic residues may be (partially)
buried. We also explore active site comparisons versus comparisons in which
the entire molecular surfaces are scanned. While here we focus on the
geometrical aspect of the problem, we also investigate the effect of adding
residue labels in these comparisons. Our extensive studies cover the serine
proteases, containing the highly conserved triad motif, and the chorismate
mutases. Since such active site comparisons entail comparisons between
unconnected points in 3D space, an order-independent comparison technique
is necessary. The geometric hashing algorithm is ideally suited to handling
such a task. It can perform both global shape matching for the whole
surfaces of large protein molecules and searching for local shape
similarities for small surface motifs. Our results show that molecular
surface comparisons work best when the similarity is high. As the
similarity deteriorates, the number of potential solutions increases
rapidly, making their ranking difficult, particularly when scanning entire
molecular surfaces. Utilizing atomic coordinates directly appears more
adequate under such circumstances.
ARTICLES
Molecular shape comparisons in searches for active sites and functional similarity
Computer Science Department, School of Mathematical Sciences, Tel Aviv University, Israel.
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