Results 51 to 60 of about 9,562,225 (293)
Deep Learning in RNA Structure Studies
Frontiers in Molecular Biosciences, 2022 Deep learning, or artificial neural networks, is a type of machine learning algorithm that can decipher underlying relationships from large volumes of data and has been successfully applied to solve structural biology questions, such as RNA structure ...
Haopeng Yu, Yiman Qi, Yiliang Ding
doaj +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Improved Parameters for Prediction of RNA Structure
Cold Spring Harbor Symposia on Quantitative Biology, 1987 Thermodynamic studies of oligoribonucleotides are providing parameters and insights for the fundamental interactions that determine RNA structure. These results can be used to predict the secondary structure of RNA from its sequence. Comparisons of predicted structures with those deduced from phylogenetic data indicate a modest success rate that is ...
D H, Turner +5 more
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Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Viral IRES prediction system - a web server for prediction of the IRES secondary structure in silico. [PDF]
PLoS ONE, 2013 The internal ribosomal entry site (IRES) functions as cap-independent translation initiation sites in eukaryotic cells. IRES elements have been applied as useful tools for bi-cistronic expression vectors.
Jun-Jie Hong +3 more
doaj +1 more source
Algorithms for RNA secondary structure analysis : prediction of pseudoknots and the consensus shapes approach [PDF]
, 2007 Reeder J. Algorithms for RNA secondary structure analysis : prediction of pseudoknots and the consensus shapes approach. Bielefeld (Germany): Bielefeld University; 2007.Our understanding of the role of RNA has undergone a major change in the last decade.
Reeder, Jens
core
RNA tertiary structure modeling with BRiQ potential in CASP15
, 2023 We describe the modeling method for RNA tertiary structures employed by team AIchemy_RNA2 in the 15th Critical Assessment of Structure Prediction (CASP15). The method consists of the following steps.
Chen, K +7 more
core +1 more source
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
RNA tertiary structure prediction with ModeRNA [PDF]
Briefings in Bioinformatics, 2011 Noncoding RNAs perform important roles in the cell. As their function is tightly connected with structure, and as experimental methods are time-consuming and expensive, the field of RNA structure prediction is developing rapidly. Here, we present a detailed study on using the ModeRNA software.
Rother M, Rother K, Puton T, Bujnicki JM
openaire +3 more sources
KnotInFrame: prediction of –1 ribosomal frameshift events [PDF]
, 2008 Theis C, Reeder J, Giegerich R. KnotInFrame: prediction of –1 ribosomal frameshift events. Nucleic Acids Research. 2008;36(18):6013-6020.Programmed –1 ribosomal frameshift (–1 PRF) allows for alternative reading frames within one mRNA.
Corinna Theis +5 more
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