Results 161 to 170 of about 6,412,013 (303)

Structures of mycobacterial 3‐methylcrotonyl‐CoA carboxylase reveal carrier‐domain translocation between catalytic sites

FEBS Letters, EarlyView.
Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav, Bogdan I. Florea, Sebastian Geibel   +2 more
wiley   +1 more source

Validation and treatment of missing values for the reduced WOMAC function scale

, 2004
Introduction: The reduced WOMAC function scale has been developed and initial validity performed. However, further validation and recommendations for the treatment of missing values is required.\ud \ud Aim: To further assess the validity of the reduced ...
Crawford, Ross W., Whitehouse, Sarah L., Learmonth, Ian D.   +2 more
core  

msBayesImpute as a versatile framework for addressing missing values in biomedical mass spectrometry proteomics data. [PDF]

Commun Chem
He J, Helm B, Gödtel F, Büchner K, Schilling M, Schneider MA, Klotz LV, Braunger J, Winter H, Velten B, Klingmüller U, Lu J.   +11 more
europepmc   +1 more source

The impact of imputation quality on machine learning classifiers for datasets with missing values. [PDF]

Commun Med (Lond), 2023
Shadbahr T, Roberts M, Stanczuk J, Gilbey J, Teare P, Dittmer S, Thorpe M, Torné RV, Sala E, Lió P, Patel M, Preller J, AIX-COVNET Collaboration, Rudd JHF, Mirtti T, Rannikko AS, Aston JAD, Tang J, Schönlieb CB.   +18 more
europepmc   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

BioProEV: A Bioinformatics Pipeline for Biologically-Relevant Handling of Missing Values in the Analysis of Extracellular Vesicles by Mass Spectrometry. [PDF]

J Extracell Biol
Miranda P, Marchan-Alvarez JG, Offens A, Zhou R, Brunet MY, Teeuwen L, Eldh M, Gabrielsson S, Newton PT.   +8 more
europepmc   +1 more source

Deep imputation of missing values in time series health data: A review with benchmarking. [PDF]

J Biomed Inform, 2023
Kazijevs M, Samad MD.
europepmc   +1 more source

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 more
wiley   +1 more source

Spatiotemporal Pre-Trained Large Language Model for Forecasting with Missing Values

Spatiotemporal data collected by sensors within an urban Internet of Things (IoT) system inevitably contains some missing values, which significantly affects the accuracy of spatiotemporal data forecasting.
Salim, FD, Fang, L, Xiang, W, Chen, YPP, Pan, S   +4 more
core   +1 more source

Less missing values-evaluation of proteomics workflows for the quantification of (small) proteins. [PDF]

Microlife
Bartel J, Kale V, Pyper DJ, Schwalbe H, Maaß S.   +4 more
europepmc   +1 more source