By identifying AIM methods that result in conformationally stable and transferable atomic properties, this study aims to improve IDP modelling and guide the development of more accurate force fields for biologically relevant systems.
Internal ribosome entry sites (IRESs) enable cap-independent translation but often exhibit low and variable efficiency, limiting their use in synthetic gene circuits. Here, we present a programmable strategy to enhance IRES-dependent translation by recruiting a truncated eIF4G scaffold via engineered RNA-binding prot...
Despite elevated transcript expression, CYP2J2 protein expression was infrequent in prostate adenocarcinoma and ccRCC, suggesting limited clinicopathological relevance and warranting further investigation using functional techniques.
Y. Al-saraireh, F. Alshammari, Awad Dmour et al.· Cancers· 0 citations
Clinical biomarkers showed a significant increase in all biomarkers that include white blood cell, red blood cell, neutrophil, lymphocyte, platelets, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP), and clinical biomarkers showed a significant increase in all biomarkers.
Zahraa H. Khudhair, Sahar M. Hussein· Iraqi Journal of Science· 0 citations
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The routine use of cryo-EM to resolve CYP3A4 ligand-bound complexes will provide the ground truth data needed to make predictive models of drug metabolism useful in practice.
Anna K. Orta, Jan-Hannes Schäfer, G. Correy et al.· bioRxiv· 0 citations
Artificial Intelligence (AI), particularly in the domains of machine learning and generative models, has fundamentally altered the landscape of scientific research. This paper explores the integration of AI across various scientific disciplines, highlighting its role in data analysis, hypothesis generation, and experim...
Jawad H Abbasi· Zenodo (CERN European Organi...· 0 citations
Early diagnosis of cystinosis is critical to limit disease progression. YKL-40, a protein in the chitinase family, released by inflammatory cells, may be a useful biomarker for cystinosis. In a case-control study of 10 children with cystinosis and 20 without cystinosis, matched by age and baseline eGFR, we measured uri...
Jason H. Greenberg, Serena D Souza, Heather Thiessen‐Philbrook et al.· JCI Insight· 0 citations
Protein aggregation is no longer viewed only as pathological but as a dynamic and reversible regulatory mechanism in cancer. Within the tumor microenvironment, proteins such as the von Hippel‐Lindau tumor suppressor protein (pVHL) can transition from a folded state to aggregated states. Mutations, environmental stress,...
L. Abad, Silvio C. E. Tosatto, E. Leonardi· Molecular Oncology· 0 citations
Compared with AAV8-Null transduced controls, TurboID-expressing animals showed 3-to 21-fold enrichment of liver-expressed and predicted liver-secreted proteins among brain regions, with 81 canonical liver-secretome proteins, including multiple carboxylesterase family members.
Matthew C. Juber, Arvand Asghari, Kristin E. Claflin et al.· bioRxiv· 0 citations
This record contains the data and analysis code underlying the figures of the study Folding without glutamine: proteome-scale removal of a canonical amino acid. Using the Escherichia coli reference proteome as a test case, the work asks whether an entire canonical amino acid can be removed from every protein in a prote...
Alejandro Garcíarrubio, Blanca Ramos-Cerrillo, Enrique Morett et al.· Zenodo (CERN European Organi...· 0 citations
The convergence mechanism is established as a practical design principle for molecular generative sampling, clarifying when stochastic diffusion provides robustness and when deterministic transport requires higher representational capacity.
Nagesh B. E., Jagannath Mondal· Journal of Chemical Theory a...· 0 citations
Numerous strategies have been studied to improve clinical outcomes after acute myocardial infarction (AMI), and the most firmly established is low-density lipoprotein (LDL) cholesterol-lowering therapy.Contemporary dyslipidemia guidelines therefore recommend intensive LDL-lowering after AMI, with an European Society of...
Onyou Kim, Soon Jun Hong· Korean Circulation Journal· 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.