Results 71 to 80 of about 6,277,482 (253)

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

FEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty, Kelsi R. Hall, Zachary D. Tillett, Liam S. Turk, James S. Davies, Michael J. Currie, Hamish G. Brown, Sepideh Valimehr, Peter D. Mace, Andrew E. Whitten, Santosh Panjikar, Eric Hanssen, Rachel A. North, Renwick C.J. Dobson   +13 more
wiley   +1 more source

Mean estimation using an efficient class of estimators based on simple random sampling: Simulation and applications

Alexandria Engineering Journal
In this article, we offer simple random sampling (SRS) based efficient class of estimators of population mean Y¯ utilizing additional information. The expression of the mean square error of the proposed class of estimators is deduced up to first degree ...
Anoop Kumar, Asra Sayeed Siddiqui, Manahil SidAhmed Mustafa, Eslam Hussam, Hassan M. Aljohani, Fatimah A. Almulhim   +5 more
doaj   +1 more source

Heterotropic regulation and negative homotropic cooperativity

FEBS Open Bio, EarlyView.
We identified a structural module common to some proteins that couple negative cooperativity with heterotropic regulation, two features that rarely coexist. These proteins are ring‐like and present an ordered asymmetry whereby noncontacting subunits are symmetric, and their tertiary structure differs from that of contacting subunits.
Veronica Morea, Francesco Angelucci, Federica Arnesano, Gianmarco Pascarella, Patrizio Di Micco, Andrea Bellelli   +5 more
wiley   +1 more source

Comparing Huber's M-Estimator Function with the

, 2000
In any data set there some of the data will be bad or noisy. This study identifies two types of noise and investigates the effect of each in the training data of backpropagation neural networks.
David Clark, Mean Square Error
core  

Error propagation approach for estimating root mean square error of the reference evapotranspiration when estimated with alternative data

Journal of Agricultural Engineering, 2019
Estimation of reference evapotranspiration (ET0) with the Food and Agricultural Organisation (FAO) Penman-Monteith model requires temperature, relative humidity, solar radiation, and wind speed data.
Homayoon Ganji, Takamitsu Kajisa
doaj   +1 more source

Asymptotic Performance Analysis of Maximum Likelihood Algorithm for Direction-of-Arrival Estimation: Explicit Expression of Estimation Error and Mean Square Error

Applied Sciences, 2020
This paper proposes a new method to get explicit expressions of some quantities associated with performance analysis of the maximum likelihood DOA algorithm in the presence of an additive Gaussian noise on the antenna elements.
Ji Woong Paik, Kyu-Ho Lee, Joon-Ho Lee
doaj   +1 more source

Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank

FEBS Open Bio, EarlyView.
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer, Pawel Rubach, Zbigniew Dauter, Wojciech Dec, Dariusz Brzezinski, Marta Kulik, Wladek Minor, Mariusz Jaskolski   +7 more
wiley   +1 more source

Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection

, 2008
This paper is concerned with coded multi-ary systems over linear channels. Based on a semi-analytical evolution technique, the impact of signaling schemes on the performance of low-cost iterative linear minimum-mean-square-error (LMMSE) detection is ...
Jun Tong (19588204), Li Ping (427468), Xiaojun Yuan (410299), Qinghua Guo (19588207)   +3 more
core  

Minimum mean square distance estimation of a subspace [PDF]

, 2011
We consider the problem of subspace estimation in a Bayesian setting. Since we are operating in the Grassmann manifold, the usual approach which consists of minimizing the mean square error (MSE) between the true subspace U and its estimate U may not be ...
Jean-Yves Tourneret, Besson, Olivier, Olivier Besson, Nicolas Dobigeon, Dobigeon, Nicolas, Tourneret, Jean-Yves   +5 more
core   +1 more source

Two Nonparametric Estimators of the Mean Residual Life

Revstat Statistical Journal, 2013
The mean residual life function L(t) can be written based on the vitality function V (t). In this article we propose two methods to estimate V (t). The two methods are based on both the kernel density estimation and the empirical function.
Abdel-Razzaq Mugdadi , Amanuel Teweldemedhin   +1 more
doaj   +1 more source