Results 211 to 220 of about 2,331,184 (299)

Efficient Molecular Crystal Structure Prediction and Stability Assessment with AIMNet2 Neural Network Potentials. [PDF]

Cryst Growth Des
Nayal KS, O'Connor D, Zubatyuk R, Anstine DM, Yang Y, Tom R, Deng W, Tang K, Marom N, Isayev O.   +9 more
europepmc   +1 more source

The cooperative regulation of miR‐221 by APE1 and AUF1 impacts p27Kip1 defining a miR signature relevant for cervical cancer

FEBS Open Bio, EarlyView.
A regulatory axis involving APE1, AUF1, and miR‐221 is proposed. Pri‐miR‐221 is processed by DROSHA and DICER to generate mature miR‐221, which targets p27Kip1 mRNA. APE1 and AUF1 compete for pre‐miR‐221 binding. Reduced APE1/AUF1 levels impair miR‐221 biogenesis, decrease p27Kip1 mRNA degradation, and promote cell cycle progression, chemoresistance ...
Matilde Clarissa Malfatti, Nicolò Gualandi, Gianluca Tell, Giulia Antoniali   +3 more
wiley   +1 more source

Stability Assessment of Furosemide Oral Suspension in Hospital Extemporaneous Preparations. [PDF]

Pharmaceuticals (Basel)
Alkathiri F, Eid O, Altuwaijri N, Alfaraj R, Eltahir EK, Alsabbagh H, Bin Shoia S, Aljead M, Alnufaie HH, AlToum G.   +9 more
europepmc   +1 more source

Nuclear pore links Fob1‐dependent rDNA damage relocation to lifespan control

FEBS Open Bio, EarlyView.
Damaged rDNA accumulates at a specific perinuclear interface that couples nucleolar escape with nuclear envelope association. Nuclear pores at this site help inhibit Fob1‐induced rDNA instability. This spatial organization of damage handling supports a functional link between nuclear architecture, rDNA stability, and replicative lifespan in yeast.
Yamato Okada, Mina Iwaki, Kyosuke Hagiri, Rei Izumi, Masahiko Harata, Chihiro Horigome   +5 more
wiley   +1 more source

Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes

FEBS Open Bio, EarlyView.
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde, Unai Alduntzin, Gorka Prieto, Ugo Mayor   +3 more
wiley   +1 more source

The roles of radiomics and deep learning for automatic detection, stability assessment, and rupture risk prediction in intracranial aneurysms: a systematic review. [PDF]

Eur J Med Res
Yan C, Zhang H, Zhang X, Wang K, Yang M, Wang F.   +5 more
europepmc   +1 more source

PARP inhibitors induce a senescence phenotype in non‐small cell lung carcinoma cell lines

FEBS Open Bio, EarlyView.
Talazoparib is the most potent inducer of senescence among different PARP1 inhibitors in human NSCLC cells. In the absence of PARP, no senescence phenotype was observed, demonstrating that PARP1 is necessary for the induction of senescence by this inhibitor.
Camille Huart, Manon Van den Abbeel, Christoph Schifflers, Karim Bouhjar, Andrea Scarmelotto, Alexis Khelfi, Anne‐Catherine Wera, Carine Michiels   +7 more
wiley   +1 more source

Modelling, analysis, and stability assessment of wind turbine generator connected to a low inertia AC-DC microgrid with frequency support capability. [PDF]

Sci Rep
Zenhom IA, Marei MI, Mohamed AMI.
europepmc   +1 more source

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

FEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman, Katarzyna Stapor, Leszek Konieczny, Krzysztof Gądek, Piotr Nowakowski   +4 more
wiley   +1 more source

OrgNet: orientation-gnostic protein stability assessment using convolutional neural networks. [PDF]

Bioinformatics
Buyanov I, Sarycheva A, Popov P.
europepmc   +1 more source