Comparative toxicoproteomics provides comparative mechanistic insight into how CMIT and PHMG induce distinct epithelial stress responses and identifies candidate protein markers that may support future in vitro assessment of biocide-induced pulmonary toxicity.
Ye-Eun Jeong, Min-Jeong Jeon, H. Youn et al.· Toxicology in Vitro· 0 citations
The sludge "water cage" formed by rigid cell membranes and the high affinity between organics and water constitutes a formidable barrier to efficient sludge dewatering. This study couples anaerobic digestion (AD) with the re-contact of residual polyaluminum chloride (PAC) adsorbed during upstream wastewater treatment t...
The results offer evidence for a putative BamD-like protein in T. pallidum and support the existence of a conserved but simplified BAM complex in this pathogen, which establishes a structure-guided strategy for discovering divergent homologs of essential macromolecules.
Si-Rui Wu, Fei Ye, Jia-Bao Xin et al.· International Journal of Bio...· 0 citations
Inorganic ions play a significant role in biological systems, including their effects on protein folding, stability, and protein–protein interactions. This contribution presents an in silico study of selective ion binding by the protein bovine pancreatic trypsin inhibitor (BPTI) in NaCl(aq), KCl(aq), MgCl2(aq), and C...
Unknown authors· Journal of Physical Chemistr...· 0 citations
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The self-assembly of 35 ± 5 monomers of the pneumolysin (PLY) toxin into stable transmembrane pores with diameters of 20.2 ± 3.0 nm is reported, and excellent low noise characteristics in the context of nanopore-based resistive pulse recordings are reported.
The Atlas model family is presented, an open and trainable system spanning protein language modeling, monomer folding, and protein-complex prediction, and the training code and data, stage checkpoints, and model weights under the MIT License are released to provide a foundation for advancing PLM-based protein structure...
Seonghwan Seo, Hyeongwoo Kim, Seokhyun Moon et al.· bioRxiv· 0 citations
Inverse FoldDir is a structure-conditioned protein redesign method that combines structural recovery, user control, experimental validation, and a natural route toward future property-guided sampling that performs iterative denoising on the amino acid probability simplex.
Alp Tartici, M. Stojkovic, An-Ru Tian et al.· bioRxiv· 0 citations
These findings provide the first molecular framework for understanding the organisation and assembly of the Clostridium spore envelope and reveal previously unrecognised principles governing the evolution of protective proteinaceous structures across the Bacillota (Firmicutes).
Hannah Fisher, Abigail R. E. Roberts, Ainhoa Dafis-Sagarmendi et al.· bioRxiv· 0 citations
The size of their predicted antimicrobial protein repertoires is broadly conserved across associations with green algae, cyanobacteria, or both, despite extensive turnover in the constituent protein families across lineages and populations.
Ciarán L. Kelly, Edgar L. Y. Wong, A. V. van Westerhoven et al.· bioRxiv· 0 citations
To decipher conserved features involved in production of these bacteriocins, genome mining was used to identify 11 candidates for new multipeptide bacteriocins; four were obtained synthetically and confirmed to be bioactive peptides inhibiting important pathogens including Listeria monocytogenes and enterococci.
Thomas F. Oftedal, Simen Hermansen, Even A. Haslund et al.· bioRxiv· 0 citations
These findings identify AGP2 as a promising low-molecular-weight polysaccharide candidate for liver protection and underscore the critical role of molecular weight in determining polysaccharide bioactivity.
Bin-Wu-Jian Wan, Jia-Wei Zhu, X. Xi et al.· The Journal of the Science o...· 0 citations
A lactylation-coordinated mechanism governing mitochondrial oxidative phosphorylation optimization and cytoskeletal architecture remodeling is delineated, substantiating a trinity regulatory mechanism integrating "metabolism-epigenetics-function" axes through lactylation circuitry, which may have implications for under...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.