Results 71 to 80 of about 1,192,891 (278)

Prediction of chemical reaction yields with large-scale multi-view pre-training

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

open access: yesFEBS 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   +3 more
wiley   +1 more source

Structural biology of ferritin nanocages

open access: yesFEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

Investigations of Ultraviolet Spectral Approximations for Computing Photodissociation and Photoionization Reaction Rates

open access: yesThe Astronomical Journal
The chemical composition of protoplanetary disks, especially in the molecular layer and above, is set by photoprocesses driven by stellar radiation fields.
Jamila Pegues   +5 more
doaj   +1 more source

Evolutionary origin of power-laws in Biochemical Reaction Network; embedding abundance distribution into topology

open access: yes, 2005
The evolutionary origin of universal statistics in biochemical reaction network is studied, to explain the power-law distribution of reaction links and the power-law distributions of chemical abundances. Using cell models with catalytic reaction network,
Chikara Furusawa   +3 more
core   +1 more source

β‐TrCP overexpression enhances cisplatin sensitivity by depleting BRCA1

open access: yesMolecular Oncology, EarlyView.
Low levels of β‐TrCP (Panel A) allow the accumulation of BRCA1 and CtIP, which facilitate the repair of cisplatin‐induced DNA damage via homologous recombination (HR) and promote tumor cell survival. In contrast, high β‐TrCP expression (Panel B) leads to BRCA1 and CtIP degradation, impairing HR repair, resulting in persistent DNA damage and apoptosis ...
Rocío Jiménez‐Guerrero   +8 more
wiley   +1 more source

Machine learning prediction of a chemical reaction over 8 decades of energy

open access: yesPhysical Review Research
Recent progress in machine learning has sparked increased interest in utilizing this technology to predict the outcomes of chemical reactions. The ultimate aim of such endeavors is to develop a universal model that can predict products for any chemical ...
Daniel Julian, Jesús Pérez-Ríos
doaj   +1 more source

Analysis of Pollutant Dispersion in a Realistic Urban Street Canyon Using Coupled CFD and Chemical Reaction Modeling

open access: yesAtmosphere, 2019
Studies in actual urban settings that integrate chemical reaction modeling, radiation, and particular emissions are mandatory to evaluate the effects of traffic-related air pollution on street canyons.
Franchesca G. Gonzalez Olivardia   +4 more
doaj   +1 more source

Nicotinamide N‐methyltransferase promotes drug resistance in lung cancer, as revealed by nascent proteomic profiling

open access: yesMolecular Oncology, EarlyView.
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou   +5 more
wiley   +1 more source

Maximum probability reaction sequences in stochastic chemical kinetic systems

open access: yesFrontiers in Physiology, 2010
The detailed behavior of many molecular processes in the cell, such as protein folding, protein complex assembly, and gene regulation, transcription and translation, can often be accurately captured by stochastic chemical kinetic models. We investigate a
Maryam Salehi   +2 more
doaj   +1 more source

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