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Secondary and Tertiary Structure of Apolipoproteins
1988The advent of these and other high-powered techniques for the detailed study of apoLP organization will allow us to obtain a high resolution picture of apoLP conformation both in solution and on native lipoprotein particles.
M T, Walsh +3 more
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On predicting secondary structure transition
International Journal of Bioinformatics Research and Applications, 2007A function of a protein is dependent on its structure; therefore, predicting a protein structure from an amino acid sequence is an active area of research. To improve the accuracy of validation of structures, we are studying the predictability of secondary structure transitions using the following machine learning algorithms: naive Bayes, C4.5 decision
Raja Loganantharaj, Vivek M. Philip
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RNA Secondary Structure an Overview
2018It was believed that the single role of the Ribonucleic acid (RNA) is to carry the information necessitate to build a specific protein. Now it discovered that RNA has important and essential roles in many gene regulatory networks and many other cellular functions.
Abdelhakim El Fatmi +4 more
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Secondary Structure of Ribosomal RNA
Science, 1970Infrared spectra were obtained for 16 S and for 23 S ribosomal RNA's in D 2 O solutions. The percentage of each base in the paired and unpaired regions of the RNA was determined from the spectra. The secondary structures of 16 S and 23
K A, Hartman, G J, Thomas
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Targeting DNA Secondary Structures
Current Medicinal Chemistry, 2000DNA secondary structures containing regions of single-stranded DNA have now been identified in the genomic DNA of a number of prokaryotic and eukaryotic species, including humans. Many of these secondary structures are associated with regions of DNA involved in regulation of transcription: promoters or upstream elements.
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UFold: fast and accurate RNA secondary structure prediction with deep learning
Nucleic Acids Research, 2022Laiyi Fu, Xiaohui Xie, Qing Nie
exaly
RNA Secondary Structure Thermodynamics
2012Several different ways to predict RNA secondary structures have been suggested in the literature. Statistical methods, such as those that utilize stochastic context-free grammars (SCFGs), or approaches based on machine learning aim to predict the best representative structure for the underlying ensemble of possible conformations.
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Protein secondary structure prediction based on position-specific scoring matrices
Journal of Molecular Biology, 1999David Tudor Jones
exaly