Results 161 to 170 of about 3,070,839 (358)

TOMM20 as a driver of cancer aggressiveness via oxidative phosphorylation, maintenance of a reduced state, and resistance to apoptosis

Molecular Oncology, EarlyView.
TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam, Megan E. Roche, Zhao Lin, Diana Whitaker‐Menezes, Victor Diaz‐Barros, Eurico Serrano, Maria Paula Martinez Cantarin, Nancy J. Philp, Atrayee Basu Mallick, Ubaldo Martinez‐Outschoorn   +9 more
wiley   +1 more source

Drug Absorption, Metabolism, and Excretion. V. Pharmacokinetic Studies on Renal Transport. (2). Analysis of p-Aminohippurate Run Out from the Kidney Slices by using Simultaneous Chemical Reaction and Diffusion Model

, 1969
TAMOTSU KOIZUMI, Juichiro Shibasaki
openalex   +2 more sources

On an Initial-Boundary-Value Problem for a Coupled, Singular Reaction-Diffusion System Arising from a Model of Fractional-Order Chemical Autocatalysis with Decay [PDF]

, 2002
Philip M. McCabe
openalex   +1 more source

Plasma lipidomic and metabolomic profiles in high‐grade glioma patients before and after 72‐h presurgery water‐only fasting

Molecular Oncology, EarlyView.
Presurgery 72‐h fasting in GB patients leads to adaptations of plasma lipids and polar metabolites. Fasting reduces lysophosphatidylcholines and increases free fatty acids, shifts triglycerides toward long‐chain TGs and increases branched‐chain amino acids, alpha aminobutyric acid, and uric acid.
Iris Divé, Lisa Hahnefeld, Katharina J. Wenger, Donat Kögel, Joachim Steinbach, Gerd Geisslinger, Michael W. Ronellenfitsch, Irmgard Tegeder   +7 more
wiley   +1 more source

Predicting Chemical Reaction Outcomes Based on Electron Movements Using Machine Learning [PDF]

arXiv
Accurately predicting chemical reaction outcomes and potential byproducts is a fundamental task of modern chemistry, enabling the efficient design of synthetic pathways and driving progress in chemical science. Reaction mechanism, which tracks electron movements during chemical reactions, is critical for understanding reaction kinetics and identifying ...
arxiv  

The Mixing-Sensitive Product Distribution of Chemical Reactions

CHIMIA, 1992
The rate of mixing might exert a decisive influence on the product distribution in competitive chemical reactions. This review gives an account of existing mixing-sensitive single-phase liquid-liquid chemical reactions where all reactants and ...
Paul Rys
doaj   +2 more sources

Transcriptome‐wide analysis of circRNA and RBP profiles and their molecular relevance for GBM

Molecular Oncology, EarlyView.
CircRNAs are differentially expressed in glioblastoma primary tumors and might serve as therapeutic targets and diagnostic markers. The investigation of circRNA and RNA‐binding proteins (RBPs) interactions shows that distinct RBPs play a role in circRNA biogenesis and function.
Julia Latowska‐Łysiak, Żaneta Zarębska, Marcin P. Sajek, Adriana Grabowska, Alessia Buratin, Paweł Głodowicz, Julia O. Misiorek, Konrad Kuczyński, Stefania Bortoluzzi, Marek Żywicki, Jan G. Kosiński, Agnieszka Rybak‐Wolf, Rafał Piestrzeniewicz, Anna M. Barciszewska, Katarzyna Rolle   +14 more
wiley   +1 more source

Completion of partial chemical equations

Machine Learning: Science and Technology
Inferring missing molecules in chemical equations is an important task in chemistry and drug discovery. In fact, the completion of chemical equations with necessary reagents is important for improving existing datasets by detecting missing compounds ...
Federico Zipoli, Zeineb Ayadi, Philippe Schwaller, Teodoro Laino, Alain C Vaucher   +4 more
doaj   +1 more source

Comprehensive Numerical Analysis of Time-Fractional Reaction–Diffusion Models with Applications to Chemical and Biological Phenomena

Mathematics
This paper aims to present a robust computational technique utilizing finite difference schemes for accurately solving time fractional reaction–diffusion models, which are prevalent in chemical and biological phenomena.
Kolade M. Owolabi, Sonal Jain, Edson Pindza, Eben Mare   +3 more
doaj   +1 more source

Towards Large-scale Chemical Reaction Image Parsing via a Multimodal Large Language Model [PDF]

arXiv
Artificial intelligence (AI) has demonstrated significant promise in advancing organic chemistry research; however, its effectiveness depends on the availability of high-quality chemical reaction data. Currently, most published chemical reactions are not available in machine-readable form, limiting the broader application of AI in this field.
arxiv