Results 61 to 70 of about 8,544,817 (263)
Structural basis for protein-free catalysis by ribonuclease P ribozyme
Ribonuclease P (RNase P) is an essential metallonuclease found in all three domains of life. However, the structural basis for the ancient RNase P RNA component acting alone as a ribozyme and catalytic metal-ion chemistry remains unknown.
Yun-Tzai Lee +9 more
doaj +1 more source
Satellite RNA of Bamboo mosaic virus (satBaMV) has a single open reading frame for a nonstructural, RNA-binding protein, P20, which facilitates the long-distance movement of satBaMV in Nicotiana benthamiana.
Paramasivan Vijaya Palani +5 more
doaj +1 more source
Reciprocal control of viral infection and phosphoinositide dynamics
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
Challenges and opportunities in technologies and methods for lncRNA structure determination
Long non-coding RNAs (lncRNAs) play pivotal roles in diverse cellular processes ranging from gene regulation and chromatin remodeling to RNA stability and epigenetic modifications. Despite the identification of approximately 95,000 lncRNA genes in humans,
Maximilia Frazao De Souza Degenhardt +1 more
doaj +1 more source
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
SLIDER: Mining correlated motifs in protein-protein interaction networks [PDF]
—Correlated motif mining (CMM) is the problem to find overrepresented pairs of patterns, called motif pairs, in interacting protein sequences. Algorithmic solutions for CMM thereby provide a computational method for predicting binding sites for protein ...
Boyen, P. +3 more
core
Discover protein sequence signatures from protein-protein interaction data
Background The development of high-throughput technologies such as yeast two-hybrid systems and mass spectrometry technologies has made it possible to generate large protein-protein interaction (PPI) datasets.
Haasl Ryan J +3 more
doaj +1 more source
Deep learning frameworks for protein–protein interaction prediction
Protein-protein interactions (PPIs) play key roles in a broad range of biological processes. The disorder of PPIs often causes various physical and mental diseases, which makes PPIs become the focus of the research on disease mechanism and clinical ...
Xiaotian Hu +3 more
doaj +1 more source
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Background With the rapid increase in the amount of Protein-Protein Interaction (PPI) data, the establishment of an event-centered PPI ontology that contains temporal and spatial vocabularies is urgently needed to clarify PPI biological annotations.
Mansheng Li +6 more
doaj +1 more source

