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The atom assignment problem in automated de novo drug design. 3. Algorithms for optimization of fragment placement onto 3D molecular graphs
- Source :
- Journal of Computer-Aided Molecular Design. 9:359-372
- Publication Year :
- 1995
- Publisher :
- Springer Science and Business Media LLC, 1995.
-
Abstract
- Atom assignment onto 3D molecular graphs is a combinatoric problem in discrete space. If atoms are to be placed efficiently on molecular graphs produced in drug binding sites, the assignment must be optimized. An algorithm, based on simulated annealing, is presented for efficient optimization of fragment placement. Extensive tests of the method have been performed on five ligands taken from the Protein Data Bank. The algorithm is presented with the ligand graph and the electrostatic potential as input. Self placement of molecular fragments was monitored as an objective test. A hydrogen-bond option was also included, to enable the user to highlight specific needs. The algorithm performed well in the optimization, with successful replications. In some cases, a modification was necessary to reduce the tendency to give multiple halogenated structures. This optimization procedure should prove useful for automated de novo drug design.
- Subjects :
- Ligands
Folic Acid
Fragment (logic)
Drug Discovery
Atom
Computer Graphics
Cyclic AMP
Electrochemistry
Hydroxybenzoates
Physical and Theoretical Chemistry
Vitamin A
Binding Sites
Molecular Structure
Chemistry
Discrete space
computer.file_format
Protein Data Bank
Adenosine Monophosphate
Graph
Computer Science Applications
Drug Design
Simulated annealing
Computer-Aided Design
computer
Algorithm
Assignment problem
Algorithms
Subjects
Details
- ISSN :
- 15734951 and 0920654X
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Journal of Computer-Aided Molecular Design
- Accession number :
- edsair.doi.dedup.....0cd70c047957403281a828c21795e6ec
- Full Text :
- https://doi.org/10.1007/bf00125177