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Dolbico, the Database Of Local Biomolecular Conformers, stores DNA structural data including the information about DNA local spatial arrangement. The main aim of Dolbico is the exploration of DNA structure at a local level. The analysis of local DNA structure is based on a classification system that uses 9 torsional angles (7 backbone angles and two glycosidic torsions) to categorize dinucleotides into several distinct conformational families. The implemented classification workflow is able not only to classify dinucleotides into already existing classes, but is also able to discover new classes in new solved DNA structures.
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This database is compiled from the human genome nucleotide sequences obtained mostly in the Human Genome Projects. The database makes it possible to continuously improve classification and characterization of retroviral families. The HERV database now contains retroviruses from more than 90 % of the human genome.
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Open repository of the Mendel University in Brno for Open Access publications.
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- Institutional Repository Algeria, United States Compatibility:Not yet registeredPartners:University of California, University of California SystemUniversity of California,University of California SystemAll Research products
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Dolbico, the Database Of Local Biomolecular Conformers, stores DNA structural data including the information about DNA local spatial arrangement. The main aim of Dolbico is the exploration of DNA structure at a local level. The analysis of local DNA structure is based on a classification system that uses 9 torsional angles (7 backbone angles and two glycosidic torsions) to categorize dinucleotides into several distinct conformational families. The implemented classification workflow is able not only to classify dinucleotides into already existing classes, but is also able to discover new classes in new solved DNA structures.
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This database is compiled from the human genome nucleotide sequences obtained mostly in the Human Genome Projects. The database makes it possible to continuously improve classification and characterization of retroviral families. The HERV database now contains retroviruses from more than 90 % of the human genome.
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