Results 61 to 70 of about 600,122 (312)

Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions

FEBS Letters, EarlyView.
We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva, Puspa Kunwar, Md Ibnul Rifat Rahman, Joanna Koryo Kwao, Nathan Lehman, Zihan Zhang, Trenton Paul, Claire Cheng, Nicholas Truex, Hui‐Ting Lee, Jun Zhang   +10 more
wiley   +1 more source

A highly efficient spectral-Galerkin method based on tensor product for fourth-order Steklov equation with boundary eigenvalue

Journal of Inequalities and Applications, 2016
In this study, a highly efficient spectral-Galerkin method is posed for the fourth-order Steklov equation with boundary eigenvalue. By making use of the spectral theory of compact operators and the error formulas of projective operators, we first obtain ...
Jing An, Hai Bi, Zhendong Luo
doaj   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

FEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li, Pedro A. Sánchez‐Murcia, Bernd Nidetzky   +2 more
wiley   +1 more source

Numerical approximation of a Bresse-Maxwell-Cattaneo system

Electronic Research Archive
In this paper, we analyze, from the numerical point of view, a new thermoelastic problem involving the so-called Bresse system. The heat conduction is modeled by using the Maxwell-Cattaneo law, which is of hyperbolic type.
Noelia Bazarra, José R. Fernández, Irea López, María Rodríguez-Damián   +3 more
doaj   +1 more source

Inhibiting stearoyl‐CoA desaturase suppresses bone metastatic prostate cancer by modulating cellular stress, mTOR signaling, and DNA damage response

FEBS Letters, EarlyView.
Bone metastasis in prostate cancer (PCa) patients is a clinical hurdle due to the poor understanding of the supportive bone microenvironment. Here, we identify stearoyl‐CoA desaturase (SCD) as a tumor‐promoting enzyme and potential therapeutic target in bone metastatic PCa.
Alexis Wilson, Mackenzie K Herroon, Shane Mecca, Laimar C Garmo, Jacob Lindquist, Shrila Rajendran, Steve M. Patrick, Izabela Podgorski   +7 more
wiley   +1 more source

Stabilized leapfrog scheme preserving the maximum bound principle for the generalized Allen–Cahn equation

Electronic Research Archive
This paper addresses the numerical method for the generalized Allen–Cahn equation featuring nonlinear mobility and a convection term. We propose a linear second–order finite difference scheme that adheres to the discrete maximum bound principle (MBP ...
Chunjuan Hou, Baitong Ma
doaj   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

FEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee, Dimitrios Bekiari, Sofia Doello, Karl Forchhammer   +3 more
wiley   +1 more source

An a priori error analysis of the porous thermoelastic Coleman–Gurtin model

AIMS Mathematics
In this work, we study, from the numerical point of view, a poro-thermoelastic problem where the heat conduction is modeled by using the Coleman–Gurtin law.
Noelia Bazarra, José R. Fernández, Víctor Prego, Ramón Quintanilla   +3 more
doaj   +1 more source

Error estimates in atom coordinates and B factors in macromolecular crystallography. [PDF]

Curr Res Struct Biol, 2023
Helliwell JR.
europepmc   +1 more source

Error Estimation

AbstractConsider first data-based machine learning techniques. They rely on large sets of examples provided during the training stage and do not learn with equations. Dealing with a situation that do not belong to the training set variability, namely an out-of-distribution sample, can be very challenging for these techniques.
David Ryckelynck, Fabien Casenave, Nissrine Akkari   +2 more
openaire   +1 more source