Results 91 to 100 of about 3,070,839 (358)
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation [PDF]
It is fundamental for science and technology to be able to predict chemical reactions and their properties. To achieve such skills, it is important to develop good representations of chemical reactions, or good deep learning architectures that can learn such representations automatically from the data. There is currently no universal and widely adopted
arxiv
miRNA‐29 regulates epidermal and mesenchymal functions in skin repair
miRNA‐29 inhibits cell‐to‐cell and cell‐to‐matrix adhesion by silencing mRNA targets. Adhesion is controlled by complex interactions between many types of molecules coded by mRNAs. This is crucial for keeping together the layers of the skin and for regenerating the skin after wounding.
Lalitha Thiagarajan+10 more
wiley +1 more source
With the advent of artificial intelligence (AI), it is now possible to design diverse and novel molecules from previously unexplored chemical space. However, a challenge for chemists is the synthesis of such molecules.
Sarveswara Rao Vangala+8 more
doaj +1 more source
A stochastic model of a chemical reaction with diffusion
Stochastic systems of Brownian motions with multiple deletion of particles are introduced to model a chemical reaction with diffusion. Convergence to the solution of a deterministic nonlinear reaction-diffusion equation is proved without high-density assumptions.
openaire +3 more sources
Spot‐14 and Spot‐14R play distinct roles in regulating metabolism in brown and beige adipocytes. While both influence lipid and glucose pathways, Spot‐14 uniquely controls thermogenic gene expression. This dual regulation balances energy storage and heat production, highlighting potential therapeutic targets for obesity and metabolic disorders. Spot 14
Lidia Itzel Castro‐Rodríguez+3 more
wiley +1 more source
Prediction of chemical reaction yields with large-scale multi-view pre-training
Developing machine learning models with high generalization capability for predicting chemical reaction yields is of significant interest and importance.
Runhan Shi+3 more
doaj +1 more source
The importance of chemical mechanisms in sonochemical modelling
A state-of-the-art chemical mechanism is introduced to properly describe chemical processes inside a harmonically excited spherical bubble placed in water and saturated with oxygen.
Csanád Kalmár+4 more
doaj
We present the cellular transcription‐coupled Flp‐nick system allowing the introduction of a Top1‐mimicking cleavage complex (Flpcc) at a Flp recognition target site within a controllable LacZ gene. LacZ transcription leads to the collision of RNA polymerase II (RNAPII) with Flpcc, and this causes RNAPII stalling, ubiquitination, and degradation.
Petra Herring+6 more
wiley +1 more source
Reaction-Diffusion Processes from Equivalent Integrable Quantum Chains
One-dimensional reaction-diffusion systems are mapped through a similarity transformation onto integrable (and a priori non-stochastic) quantum chains. Time-dependent properties of these chemical models can then be found exactly.
Albertini+68 more
core +1 more source
Interaction extracellular vesicles (iEVs) are hybrid vesicles formed through host‐pathogen communication. They facilitate immune evasion, transfer pathogens' molecules, increase host cell uptake, and enhance virulence. This Perspective article illustrates the multifunctional roles of iEVs and highlights their emerging relevance in infection dynamics ...
Bruna Sabatke+2 more
wiley +1 more source