Results 221 to 230 of about 22,043,161 (356)
Characterization of the Cubamyces Menziesii Terpenome
The genome of Cubamyces menziesii reveals 18 putative sesquiterpene cyclase genes. These genes are cloned and expressed in Escherichia coli, yielding 10 active enzymes. Using farnesyl diphosphate as substrate, the enzymes are analyzed, and the products characterized after bioconversion, uncovering diverse sesquiterpene structures. This study highlights
Létitia Leydet+10 more
wiley +1 more source
Bootstrap sample partition data model and distributed ensemble learning
A sequential implementation of Bootstrap sampling and Bagging ensemble learning is computationally inefficient and not scalable to build large Bagging ensemble models with a large number of component models.Inspired by distributed big data computing, a ...
Kaijing LUO+3 more
doaj
This study describes the successful identification of ancestral sequences N50 and N49, which have a longer half‐life of approximately four and two times the wild‐type Sp‐amine transaminase, respectively.. This approach effectively enhances the thermal stability of the transaminase.
Luyao Zhao+4 more
wiley +1 more source
A bootstrap model comparison test for identifying genes with context-specific patterns of genetic regulation. [PDF]
Malakhov MM, Dai B, Shen XT, Pan W.
europepmc +1 more source
Bootstrap prediction and Bayesian prediction under misspecified models [PDF]
Tadayoshi Fushiki
openalex +1 more source
Clade III Synthases Add Cyclic and Linear Terpenoids to the Psilocybe Metabolome
The Psilocybe cubensis terpene synthases, CubB‐CubE, were investigated. Product formation assays identified CubB as a (3R,6E)‐(‐)‐nerolidol or linalool synthase, whereas CubC is a multiproduct synthase catalyzing the formation of β‐caryophyllene and other linear and cyclic sesquiterpenes/‐terpenoids.
Nick Zschoche+7 more
wiley +1 more source
Bootstrap quark model and spectra masses, electromagnetic properties of low-lying hadrons
S. M. Gerasyuta, Susanne Bielefeld
openalex +2 more sources
A bootstrap method to avoid the effect of concurvity in generalised additive models in time series studies of air pollution [PDF]
Adolfo Figueiras+2 more
openalex +1 more source
ABSTRACT Background Precise risk prediction of chronic diseases is essential for effective preventive care and management. Machine learning (ML) is a promising avenue to enhance chronic disease risk prediction; however, a comprehensive assessment of ML performance across various chronic diseases, populations, and health settings is needed. Methods This
Ebenezer Afrifa‐Yamoah+4 more
wiley +1 more source