Background: X-chromosome inactivation (XCI) evolved independently in eutherian and marsupial mammals, where it is orchestrated by the unrelated long non-coding RNAs Xist and RSX, respectively. Xist organizes a repressive nuclear compartment through multivalent RNA-protein interactions, but whether RSX exploits similar...
Ajay Kumar Danga, Camilla Canale, Riccardo Delli Ponti et al.· bioRxiv (Cold Spring Harbor...· 0 citations
Statistical analysis of protein crystallization outcomes in the final TargetTrack release (1 July 2017; 52,307 purified structural-genomics targets across 17 centres, within-centre models). Finding: at equal net-charge magnitude, positively charged proteins are recorded as crystallized less often than negatively charge...
LI-CHI CHANG· Zenodo (CERN European Organi...· 0 citations
We propose that a single information-theoretic operation — the many-to-one map on a physical system's state space, followed by inaccessibility of the discarded alternatives — is the missing universal principle underlying defmiteness, selection, irreversibility, and the emergence of classical structure across every scal...
Scott G J Devine· Zenodo (CERN European Organi...· 0 citations
Background/Objectives: Bronchopulmonary dysplasia (BPD) risk evolves as clinical information accumulates after birth. This study evaluated the incremental predictive value of routinely available data from birth through the first week of life using cumulative, time-aligned feature sets. Methods: The primary analysis of...
Younghyun Kim, Ji Eun Jeong, S. Kwak· Children· 0 citations
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Code, dataset, trained model weights, and evaluation results for BioAnchorFormer — a CNN–Transformer hybrid for chicken MHC-I (BF2*21:01) peptide binding prediction. Includes protein-aware negative sampling pipeline, 5-fold protein-grouped evaluation, and outer-fold weights for C6-BAF-Ultimate (proposed model), C4-BAF-...
Sarathkumar Devaraj, Shouyi Wang, Hung‐Yueh Yeh et al.· Zenodo (CERN European Organi...· 0 citations
НА РУССКОМ (RU): Аннотация. Завершающая работа трилогии PANCHONDRIOME 3.5 переходит от макроскопических метафор к квантово-полевому базису живой материи — голограмме Фрёлиха, выводя пространственный инвариант морфогенеза dL = 6.25 мкм на стыке ТГц Бозе-конденсации (0.24 ТГц) и EZ-воды Поллака. Представлено опровержение...
Konstantin D. Pisarenko· Zenodo (CERN European Organi...· 0 citations
Accurate prediction of ligand-bound protein complexes and ranking them by affinity are central problems in drug discovery. While deep learning co-folding methods can help address these challenges, their evaluation has been hampered by the difficulties in assessing independence from training data and insufficiently larg...
Jongbin Kim, G.J. Correy, Brendan W. Hall et al.· eLife· 0 citations
Background: Amazonian biodiversity includes plant resources with potential metabolic activity. Buriti (Mauritia flexuosa) contains monounsaturated fatty acids, carotenoids, and phenolic compounds. Objectives: This study evaluated treatment-associated biochemical and morphological differences after buriti oil or lyophil...
Luís Carlos Oliveira Gonçalves· Figshare· 0 citations
OBJECTIVE
To demonstrate the presence of peritoneal fluid (PF)-derived small extracellular vesicles (sEVs) in endometriosis and control samples, to characterise their protein content and to define endometriosis-specific biomarkers within the sEV proteome.
DESIGN
Case-control experimental study.
SETTING
Academic end...
H. Nazri, R. Fischer, J. Steele et al.· BJOG: an International Journ...· 0 citations
Accurate prediction of ligand-bound protein complexes and ranking them by affinity are central problems in drug discovery. While deep learning co-folding methods can help address these challenges, their evaluation has been hampered by the difficulties in assessing independence from training data and insufficiently larg...
Jongbin Kim, G.J. Correy, Brendan W. Hall et al.· 0 citations
Colistin (CST) is a critical last-line antibiotic for treating multidrug-resistant Pseudomonas aeruginosa infections, especially in chronic respiratory disease. Despite its clinical importance, the P. aeruginosa CST resistome remains incompletely characterised, with most studies focusing on the PAO1 prototypic strain....
Kellie R. Strickland, Miriana L. Littlejohn, Erin P. Price et al.· bioRxiv (Cold Spring Harbor...· 0 citations
In this study, we developed a library of mRNA lipid nanoparticles (LNPs) containing clinically used ionizable lipids. We surface-modified these nanoparticles with heparosan polysaccharides and systematically compared their performance with conventional poly(ethylene glycol) (PEG)-modified formulations. Our heparosan (H...
Yu-Xin He, Lin Wang, Abigael P. Williams et al.· ACS Nano· 0 citations
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.