Results 71 to 80 of about 99,158 (152)
Stress induces the transcription of toxin-antitoxin systems but does not activate toxin
, 2021 Data corresponding to manuscript entitled "Stress induces the transcription of toxin-antitoxin systems but does not activate ...
LeRoux, M (via Mendeley Data)
core +1 more source
Proteins: Structure, Function, and Bioinformatics, Volume 94, Issue 7, Page 1403-1426, July 2026.ABSTRACT Snakebite envenomation is a major public health concern, particularly in low‐ and middle‐income regions where access to safe and effective antivenoms is limited. Traditional antivenoms, derived from immunization with crude venom, often trigger adverse reactions and lack specificity against key venom components.
Hanan Maoz, Amir Elalouf
wiley +1 more source
AAU-Specific RNA Cleavage Mediated by MazF Toxin Endoribonuclease Conserved in Nitrosomonas europaea
Toxins, 2016 Nitrosomonas europaea carries numerous toxin-antitoxin systems. However, despite the abundant representation in its chromosome, studies have not surveyed the underlying molecular functions in detail, and their biological roles remain enigmatic.
Tatsuki Miyamoto +3 more
doaj +1 more source
Advanced Materials Interfaces, Volume 13, Issue 11, 9 June 2026.Zero‐dimensional carbon nanomaterials are presented as multifunctional platforms linking structure, property, and sensing performance. Surface engineering and heteroatom doping modulate electron‐transfer and luminescent behavior, enabling electrochemical, photoluminescent, and electrochemiluminescent detection. Fundamental design principles, analytical
Gustavo Martins +8 more
wiley +1 more source
A toxin-antitoxin module in Bacillus subtilis can both mitigate and amplify effects of lethal stress. [PDF]
PLoS ONE, 2011 Bacterial type-2 (protein-protein) toxin-antitoxin (TA) modules are two-gene operons that are thought to participate in the response to stress. Previous work with Escherichia coli has led to a debate in which some investigators conclude that the modules ...
Xiangli Wu +3 more
doaj +1 more source
Genome‐Wide In Silico Analysis of the Type VI Secretion System (T6SS) Within the Morganella Genus
MicrobiologyOpen, Volume 15, Issue 3, June 2026.▪ Species‐specific T6SS patterns among Morganella genus (M. morganii and M. sibonii). ▪ Only one‐third of M. morganii isolates haboured a T6SS. ▪ All M. sibonii possess four T6SS clusters. ▪ M. sibonii exhibited a wide diversity of effectors compared to M. morganii.
Mathilde Duque +4 more
wiley +1 more source
Emerging Dissemination of blaCTX‐M‐65 in Bovine E. coli in Spain Associated With IncHI2 Plasmids
MicrobiologyOpen, Volume 15, Issue 3, June 2026.The resistome in ESBL/AmpC‐producing E. coli in livestock was diverse and dominated by plasmid‐borne genes Detection of host‐independent dissemination of AMR determinants mediated by shared plasmid types First report in Spanish cattle of blaCTX‐M‐65 on IncHI2 plasmids, an under‐reported ESBL in Europe Identification of potentially zoonotic clones in ...
Medelin Ocejo +2 more
wiley +1 more source
Toxin-Antitoxin Systems: Classification, Biological Function and Application in Biotechnology
, 2013 The toxin-antitoxin (TA) systems are systems in which an unstable antitoxin inhibits a stable toxin. This review aims to introduce the TA system and its biological application in bacteria. For this purpose, first we introduce a new classification for the
Sobhan Ghafourian +3 more
core +1 more source
de novo synthesis of a bacterial toxin/antitoxin system [PDF]
, 2014 The prevalence of toxin/antitoxin (TA) systems in almost all genomes suggests they evolve rapidly. Here we show that an antitoxin from a type V system (GhoS, an endoribonuclease specific for the mRNA of the toxin GhoT) can be converted into a novel toxin
Soo, Valerie WC +3 more
core +1 more source
Protein design and RNA design: Perspectives
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Advances in deep learning and generative modeling have transformed the landscape of protein and RNA design, enabling rapid and precise creation of novel biomolecules with tailored structures and functions. In protein design, generative deep learning frameworks now support backbone generation, sequence optimization, and joint sequence–structure
Xi Chen, Xu Dai, Peilong Lu
wiley +1 more source