title: Pattern recognition and classification of images of biological macromolecules using artificial neural networks.
abstract: The goal of this work was to analyze an image data set and to detect the structural variability within this set. Two algorithms for pattern recognition based on neural networks are presented, one that performs an unsupervised classification (the self-organizing map) and the other a supervised classification (the learning vector quantization). The approach has a direct impact in current strategies for structural determination from electron microscopic images of biological macromolecules. In this work we performed a classification of both aligned but heterogeneous image data sets as well as basically homogeneous but otherwise rotationally misaligned image populations, in the latter case completely avoiding the typical reference dependency of correlation-based alignment methods. A number of examples on chaperonins are presented. The approach is computationally fast and robust with respect to noise. Programs are available through ftp.
authors.affiliation: Centro Nacional de Biotecnología (CSIC), Universidad Autónoma, Madrid, Spain.
authors.forename: R
authors.initials: R
authors.lastname: Marabini
authors.forename: J M
authors.initials: JM
authors.lastname: Carazo
mesh_terms: D000465:Algorithms; D000818:Animals; D001412:Bacillus subtilis / Q000378:metabolism; D001426:Bacterial Proteins / Q000737:chemistry; D001704:Biopolymers / Q000737:chemistry* / Q000145:classification; D018834:Chaperonin 60; D004268:DNA-Binding Proteins / Q000737:chemistry; D006360:Heat-Shock Proteins / Q000737:chemistry; D047908:Intracellular Signaling Peptides and Proteins; D051379:Mice; D008869:Microtubule-Associated Proteins; D008968:Molecular Conformation; D016571:Neural Networks, Computer; D009687:Nuclear Proteins / Q000737:chemistry; D010363:Pattern Recognition, Automated; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000145:classification; D044767:Ubiquitin-Protein Ligases; D056427:t-Complex Genome Region
chemical_list: D001426:Bacterial Proteins; D001704:Biopolymers; D018834:Chaperonin 60; D004268:DNA-Binding Proteins; D006360:Heat-Shock Proteins; D047908:Intracellular Signaling Peptides and Proteins; D008869:Microtubule-Associated Proteins; D009687:Nuclear Proteins; D011506:Proteins; C116196:PPP1R11 protein, human; D044767:Ubiquitin-Protein Ligases