A new methodology fur 3D-QSAR studies, based on the combined use of global
and local approaches, is proposed. Information on the whole molecular elect
rostatic potential distribution is obtained from a global approach and used
to build global models, based on the grid weighted holistic invariant mole
cular (C-WHIM) descriptors, as well as to define an alignment criterion for
developing local models, Moreover, a new technique based on local correlat
ion indexes is proposed to perform the variable reduction. Both the global
and the local models are obtained by a variable selection genetic algorithm
s technique. The methodology is applied to a benchmark steroid data set. Th
e molecular electrostatic potential and the experimental binding affinity c
onstants for the corticosteroid-binding globulin are used as variables. The
QSAR models obtained compared with those obtained by the CoMFA method show
higher predictive ability and give insight into the local molecular featur
es that determine high binding affinity. (C) 2000 Elsevier Science B.V. All
rights reserved.