Title
An Integrated Approach to Ligand- and Structure-Based Drug Design: Development and Application to a Series of Serine Protease Inhibitors.
Abstract
A novel approach was developed to rationally interface structure- and ligand-based drug design through the rescoring of docking poses and automated generation of molecular alignments for 3D quantitative structure-activity relationship investigations. The procedure was driven by a genetic algorithm optimizing the value of a novel fitness function, accounting simultaneously for best regressions among binding-energy docking scores and affinities and for minimal geometric deviations from properly established crystal-based binding geometry. The GRID/CPCA method, as implemented in GOLPE, was used to feature molecular determinants of ligand binding affinity for each molecular alignment. In addition, unlike standard procedures, a novel multipoint equation was adopted to predict the binding affinity of ligands in the prediction set. Selectivity was investigated through square plots reporting experimental versus recalculated binding affinities on the targets under examination. The application of our approach to the modeling of affinity data of a large series of 3-amidinophenylalanine inhibitors of thrombin, trypsin, and factor Xa generated easily interpretable and independent models with robust statistics. As a further validation study, our approach was successfully applied to a series of 3,4,7-substituted coumarins, acting as selective MAO-B inhibitors.
Year
DOI
Venue
2008
10.1021/ci800015s
JOURNAL OF CHEMICAL INFORMATION AND MODELING
Field
DocType
Volume
Ligand (biochemistry),Docking (dog),Ligand,Serine Protease Inhibitors,Chemistry,Fitness function,Bioinformatics,Affinities,Genetic algorithm
Journal
48
Issue
ISSN
Citations 
6
1549-9596
4
PageRank 
References 
Authors
0.54
0
5
Name
Order
Citations
PageRank
Orazio Nicolotti1325.35
Teresa Fabiola Miscioscia2131.99
Andrea Carotti382.69
Francesco Leonetti482.11
A Carotti5344.92