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Compression of Molecular Interaction Fields Using Wavelet Thumbnails: Application to Molecular Alignment
- Source :
- Journal of Chemical Information and Modeling. 52:757-769
- Publication Year :
- 2012
- Publisher :
- American Chemical Society (ACS), 2012.
-
Abstract
- Molecular interaction fields provide a useful description of ligand binding propensity and have found widespread use in computer-aided drug design, for example, to characterize protein binding sites and in small molecular applications, such as three-dimensional quantitative structure-activity relationships, physicochemical property prediction, and virtual screening. However, the grids on which the field data are stored are typically very large, consisting of thousands of data points, which make them cumbersome to store and manipulate. The wavelet transform is a commonly used data compression technique, for example, in signal processing and image compression. Here we use the wavelet transform to encode molecular interaction fields as wavelet thumbnails, which represent the original grid data in significantly reduced volumes. We describe a method for aligning wavelet thumbnails based on extracting extrema from the thumbnails and subsequently use them for virtual screening. We demonstrate that wavelet thumbnails provide an effective method of capturing the three-dimensional information encoded in a molecular interaction field.
- Subjects :
- Models, Molecular
Property (programming)
Computer science
General Chemical Engineering
Drug Evaluation, Preclinical
Molecular Conformation
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Data_CODINGANDINFORMATIONTHEORY
Library and Information Sciences
Ligands
computer.software_genre
User-Computer Interface
Wavelet
Signal processing
business.industry
Proteins
Wavelet transform
Pattern recognition
General Chemistry
Grid
Computer Science Applications
Data point
Area Under Curve
Data mining
Artificial intelligence
business
computer
Image compression
Data compression
Subjects
Details
- ISSN :
- 1549960X and 15499596
- Volume :
- 52
- Database :
- OpenAIRE
- Journal :
- Journal of Chemical Information and Modeling
- Accession number :
- edsair.doi.dedup.....551f04dad87ca0e7487bf3c5ffa6420e
- Full Text :
- https://doi.org/10.1021/ci200348h