Results 171 to 180 of about 1,879,245 (305)

Latent Diffusion Models for Controllable RNA Sequence Generation [PDF]

open access: yesarXiv
This work presents RNAdiffusion, a latent diffusion model for generating and optimizing discrete RNA sequences of variable lengths. RNA is a key intermediary between DNA and protein, exhibiting high sequence diversity and complex three-dimensional structures to support a wide range of functions.
arxiv  

Heteroduplex analysis of the sequence relations between the RNAs of mink cell focus-inducing and murine leukemia viruses [PDF]

open access: bronze, 1978
Yueh‐hsiu Chien   +4 more
openalex   +1 more source

Early metastasis is characterized by Gr1+ cell dysregulation and is inhibited by immunomodulatory nanoparticles

open access: yesMolecular Oncology, EarlyView.
Breast cancer metastasis is associated with myeloid cell dysregulation and the lung‐specific accumulation of tumor‐supportive Gr1+ cells. Gr1+ cells support metastasis, in part, through a CHI3L1‐mediated mechanism, which can be targeted and inhibited with cargo‐free, polymeric nanoparticles.
Jeffrey A. Ma   +9 more
wiley   +1 more source

Classification of Highly Divergent Viruses from DNA/RNA Sequence Using Transformer-Based Models. [PDF]

open access: yesBiomedicines, 2023
Sadad T   +5 more
europepmc   +1 more source

Beyond Sequence: Impact of Geometric Context for RNA Property Prediction [PDF]

open access: yesarXiv
Accurate prediction of RNA properties, such as stability and interactions, is crucial for advancing our understanding of biological processes and developing RNA-based therapeutics. RNA structures can be represented as 1D sequences, 2D topological graphs, or 3D all-atom models, each offering different insights into its function.
arxiv  

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

open access: yesMolecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu   +12 more
wiley   +1 more source

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