Predicting RNA structures and functions by artificial intelligence

J Zhang, M Lang, Y Zhou, Y Zhang - Trends in Genetics, 2024 - cell.com
RNA functions by interacting with its intended targets structurally. However, due to the
dynamic nature of RNA molecules, RNA structures are difficult to determine experimentally …

Big data and deep learning for RNA biology

H Hwang, H Jeon, N Yeo, D Baek - Experimental & Molecular Medicine, 2024 - nature.com
The exponential growth of big data in RNA biology (RB) has led to the development of deep
learning (DL) models that have driven crucial discoveries. As constantly evidenced by DL …

Imaging-based intelligent spectrometer on a plasmonic rainbow chip

D Tua, R Liu, W Yang, L Zhou, H Song, L Ying… - Nature …, 2023 - nature.com
Compact, lightweight, and on-chip spectrometers are required to develop portable and
handheld sensing and analysis applications. However, the performance of these …

Splice modulators target PMS1 to reduce somatic expansion of the Huntington's disease-associated CAG repeat

ZL McLean, D Gao, K Correia, JCL Roy… - Nature …, 2024 - nature.com
Huntington's disease (HD) is a dominant neurological disorder caused by an expanded HTT
exon 1 CAG repeat that lengthens huntingtin's polyglutamine tract. Lowering mutant …

A drug-free cardiovascular stent functionalized with tailored collagen supports in-situ healing of vascular tissues

H Wu, L Yang, R Luo, L Li, T Zheng, K Huang… - Nature …, 2024 - nature.com
Drug-eluting stent implantation suppresses the excessive proliferation of smooth muscle
cells to reduce in-stent restenosis. However, the efficacy of drug-eluting stents remains …

In silico methods for identification of potential therapeutic targets

X Zhang, F Wu, N Yang, X Zhan, J Liao, S Mai… - Interdisciplinary …, 2022 - Springer
At the initial stage of drug discovery, identifying novel targets with maximal efficacy and
minimal side effects can improve the success rate and portfolio value of drug discovery …

Deep learning for genomics: From early neural nets to modern large language models

T Yue, Y Wang, L Zhang, C Gu, H Xue, W Wang… - International Journal of …, 2023 - mdpi.com
The data explosion driven by advancements in genomic research, such as high-throughput
sequencing techniques, is constantly challenging conventional methods used in genomics …

[HTML][HTML] Rescue of a familial dysautonomia mouse model by AAV9-Exon-specific U1 snRNA

G Romano, F Riccardi, E Bussani, S Vodret… - The American Journal of …, 2022 - cell.com
Familial dysautonomia (FD) is a currently untreatable, neurodegenerative disease caused
by a splicing mutation (c. 2204+ 6T> C) that causes skipping of exon 20 of the elongator …

Development of an oral treatment that rescues gait ataxia and retinal degeneration in a phenotypic mouse model of familial dysautonomia

E Morini, A Chekuri, EM Logan, JM Bolduc… - The American Journal of …, 2023 - cell.com
Familial dysautonomia (FD) is a rare neurodegenerative disease caused by a splicing
mutation in elongator acetyltransferase complex subunit 1 (ELP1). This mutation leads to the …

Development of precision therapies for rare inborn errors of metabolism: Functional investigations in cell culture models

M Didiasova, A Banning… - Journal of Inherited …, 2024 - Wiley Online Library
Due to the low number of patients, rare genetic diseases are a special challenge for the
development of therapies, especially for diseases that result from numerous, patient‐specific …