Results 91 to 100 of about 2,712,723 (299)
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
Robust trimmed regression for heavy-tailed stable data: Competing methods and order statistics [PDF]
Robust regression methods including, least trimmed squares, are among the most important methodologies for computing exact coefficient estimators when data is polluted with outliers.
Mohammad Bassam Shiekh Albasatneh +1 more
doaj +1 more source
On the Asymptotic Efficiency of Least Squares Estimators
The problem of estimating a linear transformation between two finite dimensional vector spaces is considered, when the observed vectors in both spaces are subject to error, and there is an indefinitely increasing number of replications of a fixed number of treatments.
openaire +3 more sources
Evolution‐guided yeast complementation reveals functional differences in human PSPH variants
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez +6 more
wiley +1 more source
This article aims to introduce a generalization of the inverse Rayleigh distribution known as exponentiated inverse Rayleigh distribution (EIRD) which extends a more flexible distribution for modeling life data.
Gadde Srinivasa Rao, Sauda Mbwambo
doaj +1 more source
"Improved Empirical Bayes Ridge Regression Estimators under Multicollinearity" [PDF]
In this paper we consider the problem of estimating the regression parameters in a multiple linear regression model when the multicollinearity is present.Under the assumption of normality, we present three empirical Bayes estimators.
Tatsuya Kubokawa, M. S. Srivastava
core
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 +13 more
wiley +1 more source
Least-Squares Conditional Density Estimation
Estimating the conditional mean of an input-output relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution has multi-modality, is highly asymmetric, or contains heteroscedastic noise. In such scenarios, estimating the conditional distribution itself would be more useful.
Sugiyama, M. +5 more
openaire +2 more sources
Recent advances in total least squares approaches for solving various errors-in-variables modeling problems are reviewed, with emphasis on the following generalizations: 1.
Markovsky, Ivan +2 more
core +1 more source
Heterotropic regulation and negative homotropic cooperativity
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 +5 more
wiley +1 more source

