Evaluation of a method for controlling molecular scaffold diversity in de novo ligand design.
We describe an algorithm for the automated generation of molecular structures subject to geometric and connectivity constraints. The method relies on simulated annealing and simplex optimization of a penalty function that contains a variety of conditions and can be useful in structure-based drug design projects. The procedure controls the diversity and complexity of the generated molecules. Structure selection filters are an integral part and drive the algorithm. Several procedures have been developed to achieve reliable control. A number of template sets can be defined and combined to control the range of molecules which are searched. Ring systems are predefined. Normally, the ring-system complexity is on of the most elusive and difficult factors to control when fusion-, bridge- and spiro-structures are built by joining templates. Here this is not an issue; the decision about which systems are acceptable, and which are not, is made before the run is initiated. Queries for inclusion and exclusion spheres are incorporated into the objective function, and, by using a flexible notation, the structure generation can be directed and more focused. Simulated annealing is a reliable optimizer and converges asymptotically to the global minimum. The objective functions used here are degenerate, so it is likely that each run will produce a different set of good solutions.
Todorov
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NP
Department of Pharmacology, University of Cambridge, U.K.
Dean
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PM
D000465:Algorithms; D001665:Binding Sites; D017076:Computer-Aided Design; D015195:Drug Design; D005069:Evaluation Studies as Topic; D007780:Lacticaseibacillus casei / Q000201:enzymology; D008024:Ligands; D008727:Methotrexate / Q000737:chemistry / Q000378:metabolism; D008958:Models, Molecular; D015394:Molecular Structure; D012984:Software; D013762:Tetrahydrofolate Dehydrogenase / Q000737:chemistry / Q000378:metabolism
D008024:Ligands; D013762:Tetrahydrofolate Dehydrogenase; D008727:Methotrexate