Ara
Toplam kayıt 245, listelenen: 201-210
Simple and robust: The claims of protein sensing by molecularly imprinted polymers
(2020)
A spectrum of 7562 publications on Molecularly Imprinted Polymers (MIPs) has been presented in literature
within the last ten years (Scopus, September 7, 2020). Around 10 % of the papers published on MIPs describe ...
Au-Pt nanoparticles based molecularly imprinted nanosensor for electrochemical detection of the lipopeptide antibiotic drug Daptomycin
(2020)
In this work, a novel electrochemical molecularly imprinted polymer (MIP) sensor for the detection of the
lipopeptide antibiotic Daptomycin (DAP) is presented which integrates gold decorated platinum nanoparticles
(Au-Pt ...
Simultaneous determination of hydrochlorothiazide and irbesartan from pharmaceutical dosage forms with RP-HPLC
(2000)
Objectives: In this work, a simple and rapid liquid chromatographic method for the simultaneous determination of irbesartan (IRBE) and
hydrochlorothiazide (HCT) was developed and validated by reverse phase high performance ...
How reliable is the electrochemical readout of MIP sensors?
(Sensors,, 2020)
Electrochemical methods offer the simple characterization of the synthesis of molecularly imprinted polymers (MIPs) and the readouts of target binding. The binding of electroinactive analytes can be detected indirectly by ...
Insights in electrosynthesis, target binding, and stability of peptide-imprinted polymer nanofilms
(2021)
Molecularly imprinted polymer (MIP) nanofilms have been successfully implemented for the recognition
of different target molecules: however, the underlying mechanistic details remained vague. This paper
provides new ...
Quantum chemistry meets deep learning for complex carbohydrate and glycopeptide species I
(2019)
Carbohydrate complexes are crucial in many various biological and medicinal processes. The impacts of N-acetyl on the glycosidic linkage flexibility of methyl β-D-glucopyranose, and of the glycoamino acid β-D-glucopyrano ...
Current stage and future perspectives for homology modeling, molecular dynamics simulations, machine learning with molecular dynamics, and quantum computing for intrinsically disordered proteins and proteins with intrinsically disordered regions
(2024)
The structural ensembles of intrinsically disordered proteins (IDPs) and proteins with intrinsically disordered regions (IDRs) cannot be easily characterized using conventional experimental techniques. Computational ...
From quantum mechanics, classical mechanics, and bioinformatics to artificial intelligence studies in neurodegenerative diseases
(Springer, 2022)
The amyloid β-protein is an intrinsically disordered protein that has the potential to assemble into myriad structures, including oligomers and fibrils. These structures are neurotoxic and are thought to initiate a cascade ...
Intrinsically disordered proteins in various hypotheses on the pathogenesis of Alzheimer’xxs and Parkinson’xxs diseases
(Academic Press, 2019)
"Dancing protein clouds: Intrinsically disordered proteins in the norm and pathology" represents a set of selected studies on a variety of research topics related to intrinsically disordered proteins. Topics in this update ...
Chapter 33 - Methods to study the effect of solution variables on the conformational dynamics of intrinsically disordered proteins
(Elsevier Academic Press, 2022)
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