Resolving cancer-associated protein variants remains difficult when variants share similar molecular masses and folded structures. Conventional assays often require labels or provide ensemble-averaged readouts, limiting their ability to resolve subtle variant differences. Here, a YaxAB nanopore workflow is presented fo...
Min-Ji Chung, Sohee Oh, Jin-Sik Kim et al.· Small Methods· 0 citations
Large language models are increasingly competent at leveraging scientific knowledge and existing computational tools to execute complex workflows. At present, little information exists on their ability to reconstruct tools when given limited descriptions of such tools. We introduce an evaluation titled ReproBAIT (Repro...
Shiv Muthupandiyan, T. H. Dur, Macey Walker et al.· 0 citations
Background: Current cancer initiation models, including multi-hit genomic models and chromosomal instability (CIN) frameworks, do not account for a mechanistically distinct upstream event: progressive protein coupling failure at the spindle pole during mitosis. We propose a novel hypothesis in which coupling failure am...
Stoffel Brandy· Zenodo (CERN European Organi...· 0 citations
Phosphatase Mg2+/Mn2+ dependent 1D protein (PPM1D) is a serine threonine phosphatase known to regulate oncogenic pathways. PPM1D mutations are enriched in therapy-related MDS and AML, but the role of PPM1D in myeloproliferative neoplasms (MPN) remains largely unexplored. By sequencing 519 MPN patients, we detected acti...
Md. Babu Mia, Christoph Schaniel, C. Clementelli et al.· Blood· 0 citations
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Abstract NIR-II fluorescence/photoacoustic dual-modal imaging offers complementary advantages in sensitivity and penetration depth. However, its efficacy is compromised by aggregation, nonspecific binding, and background interference, which persist even with polymeric encapsulation. To address these limitations, we rep...
Xiaodong Zhang, Hui Bian, Yangting Qiu et al.· Journal of the American Chem...· 0 citations
Code, frozen specifications, confirmatory out-of-fold predictions, derived data and transparency records for the preregistered v3 study (PLOS ONE submission). Code: MIT (LICENSE) Data, predictions, results and records: CC BY-SA 4.0 (LICENSE-DATA.md) Citation metadata: CITATION.cff Masked transparency records: see maski...
Yeonwoo Bae, Jinhong Yang· Zenodo (CERN European Organi...· 0 citations
Episomal plasmids are widely used in yeast metabolic engineering for their flexibility and high transformation efficiency. However, their application in Yarrowia lipolytica is often limited by low copy number and insufficient genetic stability. In this study, a robust episomal plasmid that balanced genetic stability an...
Abstract Proteins from legumes and nuts are important allies for formulating animal-free products with a well-balanced amino acid profile. However, limited information is available on their behavior during food processing. Thus, the colloidal stability of hybrid plant-based UHT-processed beverages containing yellow pea...
Inara S. Lopes, Guilherme M. Tavares· ACS Food Science & Technolog...· 0 citations
Huntington’s Disease (HD) is a fatal, autosomal dominant neurodegenerative disorder characterized by progressive motor and cognitive decline. Unstable expansion of cytosine-adenine-guanine (CAG) trinucleotide repeats in the huntingtin gene, often exceeding 35–40 repeats, results in an extended polyglutamine (PolyQ) tra...
Mackenzie Tardif-Kunk· Old Dominion University· 0 citations
ABCG2 (BCRP/MXR) is an ATP-binding cassette transporter that plays a role in cellular resistance to various anticancer agents. While several non-synonymous single-nucleotide polymorphisms (SNPs) in the ABCG2 gene have been functionally characterized, the effects of many variants remain uncertain. This study examined th...
Virtual-screening cascades combine learned affinity prediction, co-folding, physics-based rescoring and molecular dynamics, but each score requires an independent control. We audited these stages for the Kelch-like ECH-associated protein 1 (Keap1)–nuclear factor erythroid 2-related factor 2 (Nrf2) interaction using a 1...
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.