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2,530 papers
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.
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.
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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.
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...
Urine YKL-40 has excellent diagnostic potential for cystinosis, and point-of-care technologies may facilitate early screening and management of this disease.
This review addresses the amyloid aggregation of pVHL, the factors contributing to this behavior, the correlation between protein aggregation and cellular dormancy, and potential therapeutic strategies that bridge protein aggregation and oncology.
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.
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...
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.
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...
Proof of concept for watermarking AI-generated proteins while preserving biological function.
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.
Scientists are using AlphaFold to strengthen a photosynthesis enzyme for resilient, heat-tolerant crops.
Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.
AlphaFold has revealed the structure of a key protein behind heart disease
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