Publications by authors named "M Miladi"

Background: Leber hereditary optic neuropathy (LHON) is a mitochondrial DNA (mtDNA) rare disease due to the pathogenic variant of the NADH dehydrogenase enzyme. LHON is characterized by a sudden central vision loss due to focal degeneration of the retinal ganglion cell layer and optic nerve. Symptoms usually appear between the age of 18 and 35 years.

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RNA secondary structures play essential roles in the formation of the tertiary structure and function of a transcript. Recent genome-wide studies highlight significant potential for RNA structures in the mammalian genome. However, a major challenge is assigning functional roles to these structured RNAs.

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Article Synopsis
  • Sezary syndrome (SS) used to have very few treatment options and not a good outlook for patients, but new therapies are helping a lot.
  • In a study of 178 patients treated from 2012 to 2020, more advanced treatments led to much better survival rates: about 56% of patients lived at least 5 years.
  • Patients who had a special treatment called allogeneic stem-cell transplantation (AlloSCT) had even better chances to survive, with around 91% living for 5 years, but those who couldn't get that treatment still faced challenges.
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Article Synopsis
  • mRNA-based vaccines and therapeutics are increasingly used, and optimizing the mRNA sequence is critical for their effectiveness.
  • CodonBERT, a large language model designed specifically for mRNAs, uses codons to improve understanding and predictions regarding mRNA properties.
  • Trained on over 10 million mRNA sequences from various organisms, CodonBERT outperforms previous prediction methods, including in the context of a new flu vaccine data set.
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Computational prediction of RNA-RNA interactions (RRI) is a central methodology for the specific investigation of inter-molecular RNA interactions and regulatory effects of non-coding RNAs like eukaryotic microRNAs or prokaryotic small RNAs. Available methods can be classified according to their underlying prediction strategies, each implicating specific capabilities and restrictions often not transparent to the non-expert user. Within this work, we review seven classes of RRI prediction strategies and discuss the advantages and limitations of respective tools, since such knowledge is essential for selecting the right tool in the first place.

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