Results 81 to 90 of about 24,751,639 (251)
Surrogate-based Optimization of Capture Chromatography Platforms for the Improvement of Computational Efficiency. [PDF]
Romero JJ, Jenkins EW, Husson SM.
europepmc +1 more source
Identification of (20R)‐protopanaxadiol from Panax ginseng as a novel anti‐SARS‐CoV‐2 compound
We established a noninfectious BAC‐based SARS‐CoV‐2 replicon that enables antiviral screening under BSL‐2 conditions. Using this platform, we screened 373 food‐derived compounds and identified (20R)‐protopanaxadiol from Panax ginseng as a novel inhibitor of SARS‐CoV‐2 RNA replication, highlighting the value of safe replicon systems for antiviral ...
Midori Takeda +4 more
wiley +1 more source
Expensive optimization problems are characterized by the significant amount of time and resources needed to determine the quality of potential solutions.
Mario Garza-Fabre +3 more
doaj +1 more source
A Transfer Learning Based Dual-Surrogate-Assisted Hull Form Optimization Method [PDF]
In the surrogate-assisted optimization of expensive objective functions, obtaining enough samples is time-consuming in fluid simulations. This paper proposes a Transfer Learning based Dual-Surrogate-Assisted hull form Optimization (TLDSAO) algorithm to ...
AN Chang, MAO Li
doaj +1 more source
Enhancement of Mixing Performance of Two-Layer Crossing Micromixer through Surrogate-Based Optimization. [PDF]
Hossain S +7 more
europepmc +1 more source
In silico and in vitro exploration of a tyrosinase for biocatalytic production of catechols
Tyrosinase from Ralstonia pseudosolanacearum is a promising biocatalyst for producing valuable catechols from monophenol substrates. This tyrosinase is uniquely suited to this due to its high monophenolase : diphenolase ratio. We combined in silico docking and in vivo kinetic characterisation of this tyrosinase with 11 industrially relevant monophenols,
James Britton +6 more
wiley +1 more source
Higher-order factorization machine for accurate surrogate modeling in material design
Efficient and robust optimization is important in material science for identifying optimal structural parameters and enhancing material performance. Surrogate-based active learning algorithms have recently gained great attention for their ability to ...
Sanghyo Hwang +4 more
doaj +1 more source
Distributed optimal design brings significant solutions for experiment optimization in complex engineering design problems. A Kriging-based augmented Lagrangian Method is proposed with the help of the Multi-fidelity Hamiltonian Kriging (MHK) surrogate ...
Shixuan Zhang, Jie Ma
doaj +1 more source
We describe detailed protocols for the purification and preparation of Marchantia polymorpha Auxin Response Factor 2 (MpARF2). This protein is fused to an MBP solubility tag and an mNG fluorescent tag and is purified from Escherichia coli. The presented procedures make it possible to study MpARF2 assemblies, which could arise from phase separation ...
Bas Janssen +5 more
wiley +1 more source
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey +4 more
wiley +1 more source

