Results 71 to 80 of about 4,448,305 (256)

Emerging experimental and computational methods for studying redox‐regulated structural transitions

open access: yesFEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass   +2 more
wiley   +1 more source

The University of Chicago Department of Physics Laboratory of Molecular Structure and Spectra Technical Report, 1968

open access: yes, 1965
Report containing articles, manuscripts, and tabulations of recorded spectra created by the Spectroscopic Laboratory of the University of ...
University of Chicago. Laboratory of Molecular Structure and Spectra.
core  

Quantum computational, molecular structure, experimental spectra, and molecular docking studies on (S)-3-benzyl-5-(phenylselanyl)-6-(p-tolyl)-3,4-dihydropyran-2-one

open access: yesChemical Physics Impact
The published molecule (S)-3-Benzyl-5-(phenylselanyl)-6-(p-tolyl)-3,4-dihydropyran-2-one (3B6PL) was selected for the identification of anticancer properties, and the computational calculations were employed using density function theory (DFT) with the ...
S. Durgadevi   +7 more
doaj   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

open access: yesFEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell   +2 more
wiley   +1 more source

The University of Chicago Department of Physics Laboratory of Molecular Structure and Spectra Technical Report, 1956

open access: yes, 1957
Report containing articles, manuscripts, and tabulations of recorded spectra created by the Spectroscopic Laboratory of the University of ...
University of Chicago. Laboratory of Molecular Structure and Spectra.
core  

IDSL_MINT: a deep learning framework to predict molecular fingerprints from mass spectra

open access: yesJournal of Cheminformatics
The majority of tandem mass spectrometry (MS/MS) spectra in untargeted metabolomics and exposomics studies lack any annotation. Our deep learning framework, Integrated Data Science Laboratory for Metabolomics and Exposomics—Mass INTerpreter (IDSL_MINT ...
Sadjad Fakouri Baygi   +1 more
doaj   +1 more source

Effect of molecular weight on the optical properties of polyimide films

open access: yesResults in Chemistry
To investigate the effect of molecular weight on the optical properties, a series of polyimide films with varying molar ratios of pyromellitic dianhydride (PMDA) to 4,4′-diaminodiphenyl ether (ODA) were synthesized.
Panpan Zhang, Ting Du
doaj   +1 more source

Structural and biochemical analysis of a B12 superbinder

open access: yesFEBS Letters, EarlyView.
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices   +3 more
wiley   +1 more source

The University of Chicago Department of Physics Laboratory of Molecular Structure and Spectra Technical Report, 1957-9: Part Two

open access: yes, 1959
Report containing articles, manuscripts, and tabulations of recorded spectra created by the Spectroscopic Laboratory of the University of ...
University of Chicago. Laboratory of Molecular Structure and Spectra.
core  

Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra

open access: yesAdvanced Science, 2019
Deep learning methods for the prediction of molecular excitation spectra are presented. For the example of the electronic density of states of 132k organic molecules, three different neural network architectures: multilayer perceptron (MLP ...
Kunal Ghosh   +6 more
doaj   +1 more source

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