Results 71 to 80 of about 1,597,633 (258)

Importin 7 mediates the nuclear import of HIV‐1 integrase via a specific interacting interface

FEBS Open Bio, EarlyView.
HIV‐1 integrase enables viral DNA integration into the host genome. By binding to the core domain of the host protein Importin 7 via its C‐terminal domain, the integrase is transported across the nuclear membrane into the nucleus, where integration of the viral genome into host DNA takes place. This translocation is a critical step for subsequent viral
Juana Bana, Avigail Yariv, Tal Oppenheim, Hadar Amartely, Dana Reichmann, Oded Livnah   +5 more
wiley   +1 more source

A Methodology for the Efficient Quantification of Parameter and Model Uncertainty

, 2022
Complex structural systems often entail computationally intensive models that require efficient methods for statistical model calibration due to the high number of required model evaluations.
Melz, Tobias, Feldmann, R., Gehb, C.M., Schaeffner, M.   +3 more
core   +1 more source

Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley   +1 more source

Uncertainty Quantification in Computational Electromagnetics: The stochastic approach [PDF]

, 2013
Models in electromagnetism are more and more accurate. In some applications, the gap between the experience and the model comes from the deviation on input data of the model which are not perfectly known.
CLENET, Stephane
core  

Uncertainty quantification by large language models

Machine Learning with Applications
As reasoning capabilities of large language models (LLMs) continue to advance, they are being integrated into increasingly complex scientific workflows, with the goal of developing agents capable of generating evidence-based explanations and testing ...
Dorianis M. Perez, Bryan E. Kaiser, Ismael Boureima   +2 more
doaj   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

FEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors [PDF]

, 2009
Meaningful quantification of data and structural uncertainties in conceptual rainfall-runoff modeling is a major scientific and engineering challenge. This paper focuses on the total predictive uncertainty and its decomposition into input and structural ...
Thyer, M., Kavetski, D., Renard, B., Renard, Benjamin, Franks, S., Kuczera, G.   +5 more
core   +1 more source

Applying Uncertainty Quantification to Structural Systems: Parameter Reduction for Evaluating Model Complexity

, 2022
S.241-256Different mathematical models can be developed to represent the dynamic behavior of structural systems and assess properties, such as risk of failure and reliability. Selecting an adequate model requires choosing a model of sufficient complexity
Platz, Roland, Locke, Robert, Gehb, Christopher M., Atamturktur, Sez, Kupis, Shyla   +4 more
core   +1 more source

Uncertainty quantification of geochemical and mechanical compaction in layered sedimentary basins

, 2018
In this work we propose an Uncertainty Quantification methodology for the evolution of sedimentary basins undergoing mechanical and geochemical compaction processes, which we model as a coupled, time-dependent, non-linear, monodimensional (depth-only ...
Tamellini, Lorenzo
core   +1 more source

Using cell‐free RNA to identify B‐ and T‐cell clonality for diagnosis and monitoring of B‐ and T‐cell neoplasms

FEBS Open Bio, EarlyView.
Using peripheral blood for determining B‐cell or T‐cell clonality is more reliable when we use cell‐free RNA (cfRNA) because cells release blood significantly more RNA than DNA. Next‐generation sequencing (NGS) of cfRNA allows us to evaluate fragment cfRNA and evaluate clonality reliably without the need for prior determination of the specific dominant
Adam Albitar, Sally Agersborg, Ahmed Charifa, Pooja Phull, Noa Biran, David Vesole, Harsh Parmar, Andrew Pecora, Andrew Ip, Andre Goy, David Siegel, Maher Albitar   +11 more
wiley   +1 more source