Rp. Sheridan et al., CHEMICAL SIMILARITY USING GEOMETRIC ATOM PAIR DESCRIPTORS, Journal of chemical information and computer sciences, 36(1), 1996, pp. 128-136
Citations number
21
Categorie Soggetti
Information Science & Library Science","Computer Application, Chemistry & Engineering","Computer Science Interdisciplinary Applications",Chemistry,"Computer Science Information Systems
Similarity searches using topological descriptors have proved extremel
y useful in aiding large-scale screening. In this paper we describe th
e geometric atom pair, the 3D analog of the topological atom pair desc
riptor (Carhart et al, J. Chem. Inf. Comput. Sci. 1985, 25, 64-73). We
show the results of geometric similarity searches using the CONCORD-b
uild structures of typical small druglike molecules as probes. The dat
abase to be searched is a 3D version of the Derwent Standard Drug File
that contains an average of 10 explicit conformations per compound. U
sing objective criteria for determining how good a descriptor is in se
lecting active compounds from large databases, we compare the results
using the geometric versus the topological atom pair. We find that geo
metric and topological atom pairs are about equally effective in selec
ting active compounds from large databases. How the two types of descr
iptors rank active compounds is generally about the same as well, but
occasionally active compounds will be seen as very similar to a probe
in geometric descriptors, but as fairly dissimilar in topological desc
riptors. These are of two types: (1) compounds where equivalent groups
are in the same spatial arrangement as in the probe but are connected
by very different bond paths and (2) compounds that can superimpose o
nto the probe when they are in a folded conformation.