Results 101 to 110 of about 669,188 (305)

Structural biology of ferritin nanocages

FEBS 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

Physics-constrained machine learning for reduced composition space chemical kinetics

Data-Centric Engineering
Modeling detailed chemical kinetics is a primary challenge in combustion simulations. We present a novel framework to enforce physical constraints, specifically total mass and elemental conservation, during the reaction of ML models’ training for the ...
Anuj Kumar, Tarek Echekki
doaj   +1 more source

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

Molecular 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, Zhen Wang, Fei Yang, Xiao Han, Lei Li, Huadong Liu   +5 more
wiley   +1 more source

ABC(SMC)$$^2$$: Simultaneous Inference and Model Checking of Chemical Reaction Networks [PDF]

, 2020
We present an approach that simultaneously infers model parameters while statistically verifying properties of interest to chemical reaction networks, which we observe through data and we model as parametrised continuous-time Markov Chains. The new approach simultaneously integrates learning models from data, done by likelihood-free Bayesian inference,
Molyneux, GW, Abate, A
openaire   +2 more sources

Comprehensive Review of Models and Methods for Inferences in Bio-Chemical Reaction Networks [PDF]

Frontiers in Genetics, 2019
Key processes in biological and chemical systems are described by networks of chemical reactions. From molecular biology to biotechnology applications, computational models of reaction networks are used extensively to elucidate their non-linear dynamics.
Loskot, P., Atitey, K., Mihaylova, L.
openaire   +7 more sources

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

FindPrimaryPairs: An efficient algorithm for predicting element-transferring reactant/product pairs in metabolic networks. [PDF]

PLoS ONE, 2018
The metabolism of individual organisms and biological communities can be viewed as a network of metabolites connected to each other through chemical reactions.
Jon Lund Steffensen, Keith Dufault-Thompson, Ying Zhang   +2 more
doaj   +1 more source

On analysis of chemical reactions coupled gas flows in SOFCs [PDF]

, 2009
This paper was presented at the 2nd Micro and Nano Flows Conference (MNF2009), which was held at Brunel University, West London, UK. The conference was organised by Brunel University and supported by the Institution of Mechanical Engineers, IPEM, the ...
2nd Micro and Nano Flows Conference (MNF2009), Sunden, B, Yang, G, Yuan, J   +3 more
core  

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Effects of turbulent dust grain motion to interstellar chemistry

, 2015
Theoretical studies have revealed that dust grains are usually moving fast through the turbulent interstellar gas, which could have significant effects upon interstellar chemistry by modifying grain accretion.
Ge, J. X., He, J. H., Yan, H. R.
core   +1 more source