Structural Insights Into the Function of Leishmania major Adenylosuccinate Lyase
ABSTRACT One of several intriguing aspects of kinetoplastid biochemistry is the complete dependence on host purines and purine recycling due to the lack of a de novo purine biosynthesis pathway. Adenylosuccinate lyase (ASL, EC 4.3.2.2) is a key enzyme in the purine synthesis pathway responsible for the conversion of adenylosuccinate into adenosine ...
Ivan R. e Silva +10 more
wiley +1 more source
Direct and large eddy simulation of turbulence
openaire +2 more sources
A strengthened and southward-shifted westerly jet mitigates warming-induced drying across Asian drylands. [PDF]
Jiang J, Zhou T.
europepmc +1 more source
Abstract The presence of Arctic clouds plays a crucial role in the evolution of the surface temperature of Arctic sea ice. However, large biases in cloud representation remain in state‐of‐the‐art weather and climate models. In this study, we use observational data from the one‐year Arctic ship campaign Multi‐disciplinary drifting Observatory for the ...
Luise Schulte +5 more
wiley +1 more source
The dynamic mesoscale sink and source niches for eukaryotic phytoplankton in a subtropical gyre. [PDF]
Jones-Kellett AE +4 more
europepmc +1 more source
Evaluating anisotropy‐based Monin–Obukhov similarity theory over canopies and complex terrain
This study shows that an anisotropy‐based generalization of Monin–Obukhov surface‐layer scaling (SC23) applies readily across a wide range of atmospheric conditions with variable terrain, canopies, and land‐cover complexity. This work focuses on the scaling of velocity variances for 7 years at the 47 sites in the National Ecological Observation Network
Tyler S. Waterman +3 more
wiley +1 more source
Ensuring Good Transferability from Pilot- to Large-Scale Optimized Biotech Bubble Column Designs. [PDF]
Link C, Bromley J, Martin M, Takors R.
europepmc +1 more source
Epistemic and aleatoric uncertainty quantification in weather and climate models
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield +1 more
wiley +1 more source
Research on Transmission Characteristics of Magnetic Couplers for Underwater Wireless Power Transfer Based on Prior Knowledge Input Neural Network. [PDF]
Xie J, Zhu C, Zhang X.
europepmc +1 more source

