Results 91 to 100 of about 285,592 (275)
TDP‐43 Aggregation: The Healthy‐Toxic Balance of the Prion‐Like Domain
TDP‐43 function relies on a delicate balance between reversible phase‐separated states and irreversible aggregation. Under physiological conditions, TDP‐43 forms dynamic droplets and oligomers that support normal cellular functions. In pathological contexts, this balance shifts toward aberrant aggregation, leading to toxic species.
Luca Zangrando +2 more
wiley +1 more source
Long non-coding RNAs (lncRNAs) play important roles in various biological processes, where lncRNA–protein interactions are usually involved. Therefore, identifying lncRNA–protein interactions is of great significance to understand the molecular functions
Pu-Feng Du (8158638) +5 more
core +1 more source
A Computational Model of the LGI1 Protein Suggests a Common Binding Site for ADAM Proteins [PDF]
Mutations of human leucine-rich glioma inactivated (LGI1) gene encoding the epitempin protein cause autosomal dominant temporal lateral epilepsy (ADTLE), a rare familial partial epileptic syndrome.
Leonardi, Emanuela +23 more
core +1 more source
Background and objective: Interactions of long non-coding ribonucleic acids (lncRNAs) with micro-ribonucleic acids (miRNAs) play an essential role in gene regulation, cellular metabolic, and pathological processes.
Dengel, Andreas, +17 more
core +1 more source
Lipoic acid synthase (lias) can regulate α‐KG levels through lipoylation, thereby negatively regulating HIF‐1α protein levels via PHD under hypoixa. The Hap2 allele of lias exhibits lower expression levels than Hap1, leading to the accumulation of more HIF‐1α protein and thereby enhancing hypoxia tolerance. ABSTRACT Hypoxia stress seriously affects the
Jie Ding +7 more
wiley +1 more source
ProDGe: investigating protein-protein interactions at the domain level
An important goal of systems biology is the identification and investigation of known and predicted protein-protein interactions to obtain more information about new cellular pathways and processes.
Andreas Dräger +8 more
core +1 more source
Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach
Long noncoding RNAs (lncRNAs) play significant roles in various physiological and pathological processes via their interactions with biomolecules like DNA, RNA and protein. The existing in silico methods used for predicting the functions of lncRNA mainly
Jia, Cangzhi +2 more
core +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
A system for the evolution of protein-protein interaction inducers
Molecules that induce interactions between proteins, often referred to as “molecular glues”, are increasingly recognized as important therapeutic modalities and as entry points for rewiring cellular signaling networks.
Jeffrey, Dewey +3 more
core +1 more source
Fusion of multi-source relationships and topology to infer lncRNA-protein interactions
Long non-coding RNAs (lncRNAs) are important factors involved in biological regulatory networks. Accurately predicting lncRNA-protein interactions (LPIs) is vital for clarifying lncRNA's functions and pathogenic mechanisms. Existing deep learning models have yet to yield satisfactory results in LPI prediction.
Xinyu Zhang +5 more
openaire +3 more sources

