Results 111 to 120 of about 1,196,417 (299)

Chemical- and photo-activation of protein-protein thiol-ene coupling for protein profiling

open access: yesCommunications Chemistry
The thiol-ene reaction between an alkene and a thiol can be exploited for selective labelling of cysteine residues in protein profiling applications. Here, we explore thiol-ene activation in systems from chemical models to complex cellular milieus, using
André Campaniҫo   +5 more
doaj   +1 more source

The study of PDF turbulence models in combustion [PDF]

open access: yes
In combustion computations, it is known that the predictions of chemical reaction rates are poor if conventional turbulence models are used. The probability density function (pdf) method seems to be the only alternative that uses local instantaneous ...
Hsu, Andrew T.
core   +1 more source

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

open access: yesMolecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla   +9 more
wiley   +1 more source

Investigation of Models for Online Runaway Detection at the Esterification of Acetic Anhydride with Methanol

open access: yesChemical Engineering Transactions
Models for the online detection of runaway reactions in chemical plants promise to increase the safe operation of chemical processes. However, a general industrial application has not been achieved for these models.
Carsten Schmidt   +3 more
doaj  

Roles of network topology in the relaxation dynamics of simple chemical reaction network models

open access: yesScientific Reports
Understanding the relationship between the structure of chemical reaction networks and their reaction dynamics is essential for unveiling the design principles of living organisms.
Yusuke Himeoka   +3 more
doaj   +1 more source

New trends in combustion research for gas turbine engines [PDF]

open access: yes
Research on combustion is being conducted to provide improved analytical models of the complex flow and chemical reaction processes which occur in the combustor of gas turbine engines, in order to enable engine manufacturers to reduce the development ...
Mularz, E. J.
core   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

Impact of Thermodynamic Constraints on the Lability of Activation Energy as a Function of Conversion Degree

open access: yesEnergies
The subject concerns the determination of activation energy under dynamic conditions using two theoretical isothermal models, and subsequently experimental data, with reference to the α–T relationship matrix.
Andrzej Mianowski   +2 more
doaj   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

open access: yesMolecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric   +10 more
wiley   +1 more source

BatGPT-Chem: A Foundation Large Model for Chemical Engineering

open access: yesResearch
Large language models (LLMs) have showcased remarkable capabilities in the realm of AI for Science, and chemistry has greatly benefited from the advancement of AI tools.
Yifei Yang   +7 more
doaj   +1 more source

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