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Nonribosomal peptides are assembled by large enzymes that contain multiple active sites, which function in a modular manner. The adenylation (A) domains present within typical nonribosomal peptide synthetase (NRPS) modules contain specificity-conferring codes or signature sequences (SNSs). In this study, we obtained 2051 A domain sequences from 67 bacterial species. Their alignment and clustering identified 508 SNSs. Over 80% of the SNSs displayed distinct specificity for 36 proteinogenic and nonproteinogenic α-amino acid moieties (α-AAMs). Furthermore, modifications such as -methylation, monooxygenase activity, and oxidation contributed to the elongation of the A domains, while conferring pronounced affinities for certain α-AAMs. Notably, β-hydroxylation demonstrated particular preferences. Specifically, ornithine, threonine, tyrosine, and phenylalanine moieties frequently underwent atypical covalent modifications, and 41 modules were used iteratively. These insights significantly facilitate the identification of uncharacterized NRPS systems-expediting traditional identification processes-although novel modifications, unusual domain organizations, and dormant domains pose challenges for their accurate prediction.
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http://dx.doi.org/10.4014/jmb.2503.02030 | DOI Listing |
Int J Gen Med
September 2025
Department of Geriatrics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China.
Background: Sepsis is characterized by profound immune and metabolic perturbations, with glycolysis serving as a pivotal modulator of immune responses. However, the molecular mechanisms linking glycolytic reprogramming to immune dysfunction remain poorly defined.
Methods: Transcriptomic profiles of sepsis were obtained from the Gene Expression Omnibus.
J Inflamm Res
September 2025
The Second Clinical College of Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning Province, People's Republic of China.
Purpose: Autoimmune thyroiditis (AIT) is the most common organ-specific autoimmune disease, and its pathogenesis is closely related to the inflammatory microenvironment driven by immune cell penetration. The role of the newly proposed concept of PANoptosis in immune-related diseases is gradually being revealed. However, there is currently a lack of reports on PANoptosis in AIT.
View Article and Find Full Text PDFAppl Biosaf
August 2025
Signature Science, LLC, Charlottesville, Virginia, USA.
Screening synthetic nucleic acid orders for sequences of concern is a necessary part of a healthy biosecurity regime, but it exacts costs for nucleic acid providers. Taxonomy is and will remain a critical part of the decision-making process for screening, especially for viral sequences. But, moving forward, the function of a sequence will also be determinative of its level of concern, or lack thereof.
View Article and Find Full Text PDFVirchows Arch
September 2025
Department of Anatomic Pathology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Lung adenocarcinoma (LUAD) associated with usual interstitial pneumonia (UIP) harbours distinct features compared to lung adenocarcinoma without UIP. Therefore, we aimed to characterise the tumour microenvironment of LUAD with UIP by focusing on cancer-associated fibroblasts (CAFs) and stromal composition. Immunohistochemistry was performed on 32 LUAD samples (16 each with and without UIP) to evaluate CAF marker expression and lymphocyte infiltration.
View Article and Find Full Text PDFInt J Biol Macromol
September 2025
Department of Computational Biology, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), Okhla Phase III, New Delhi, 110020, India; Infosys Centre for Artificial Intelligence, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), Okhla Phase III, New Delhi, 110020, In
Understanding the structural and functional diversity of toxin proteins is critical for elucidating macromolecular behavior, mechanistic variability, and structure-driven bioactivity. Traditional approaches have primarily focused on binary toxicity prediction, offering limited resolution into distinct modes of action of toxins. Here, we present MultiTox, an ensemble stacking framework for the classification of toxin proteins based on their molecular mode of action: neurotoxins, cytotoxins, hemotoxins, and enterotoxins.
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