Results 111 to 120 of about 23,995,846 (308)

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

Mixed-effects meta-regression model summary for RT studies, with stimulus type as the moderator.

Mixed-effects meta-regression model summary for RT studies, with stimulus type as the moderator.
Claude Alain (324898), Wenfu Bao (18475989), Monika Molnar (7440761), Michael Thaut (6375833)   +3 more
core   +1 more source

A variance shift model for detection of outliers in the linear mixed model

, 2010
A variance shift outlier model (VSOM), previously used for detecting outliers in the linear model, is extended to the variance components model.
Gogel, B. J., Gogel, B., Gumedze, F. N., Weham, S., Thompson, R., Welham, S. J., Gumedze, F.   +6 more
core   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

FEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell, Thomas Walther, Egbert Hoiczyk   +2 more
wiley   +1 more source

Mixed-effects meta-regression model summary for RT studies, with participant age as the moderator.

Mixed-effects meta-regression model summary for RT studies, with participant age as the moderator.
Claude Alain (324898), Wenfu Bao (18475989), Monika Molnar (7440761), Michael Thaut (6375833)   +3 more
core   +1 more source

Model parameters of the mixed effects model.

, 2020
Model parameters of the mixed effects model.
Benjamin Kendziora (8447703), Marc Dewey (43174)   +1 more
core   +1 more source

Individual tree inventory based on uncrewed aerial vehicle data: how to utilise stand-wise field measurements of diameter for calibration?

Silva Fennica
Uncrewed aerial vehicles (UAV) have great potential for use in forest inventories, but in practice they can be expensive for relatively small inventory areas as a large number of field measurements are needed for model construction. One proposed solution
Johanna Jääskeläinen, Lauri Korhonen, Mikko Kukkonen, Petteri Packalen, Matti Maltamo   +4 more
doaj   +1 more source

Structural and biochemical analysis of a B12 superbinder

FEBS Letters, EarlyView.
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices, Jacob J. Whittaker, Dirk J. Slotboom, Albert Guskov   +3 more
wiley   +1 more source

Mixed-effects meta-regression model summary for accuracy studies, with participant age as the moderator.

Mixed-effects meta-regression model summary for accuracy studies, with participant age as the moderator.
Claude Alain (324898), Wenfu Bao (18475989), Monika Molnar (7440761), Michael Thaut (6375833)   +3 more
core   +1 more source

A longitudinal study of the predictors of quality of life in patients with major depressive disorder utilizing a linear mixed effect model

, 2014
We set out in this study to examine a longitudinal dataset using a linear mixed effects model. Our ultimate aim is to identify predictors of the quality of life (QOL) domains and items amongst patients suffering from major depressive disorders.
Pan, Ay-Woan;Chen, Yun-Ling;Chung, Ly-Inn;Wang, Jung-Der;Chen, Tsyr-Jang;Hsiung, Ping-Chuan, 潘璦琬 ;王榮德   +1 more
core   +1 more source