Results 191 to 200 of about 697,227 (280)

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source

Guiding Competitive Binding Assays Using Protein-Protein Interaction Prediction: The HER2-Affitin Use Case. [PDF]

ACS Omega
Ranaudo A, Cosentino U, Greco C, Moro G, Maiocchi A, Moroni E.   +5 more
europepmc   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Characterization of tertiary lymphoid structure identifies competitive binding of CD40 and STING with TRAF2 driving IRF4-mediated B cell activation in esophageal squamous cell carcinoma. [PDF]

Cancer Gene Ther
Zheng Y, Chen D, Xu Y, Xu X, Song P, Wu X, Tan L, Mao Y, Chen Y.   +8 more
europepmc   +1 more source

A Novel Competitive Binding Screening Assay Reveals Sennoside B as a Potent Natural Product Inhibitor of TNF-α. [PDF]

Biomedicines, 2021
Peng L, Durai P, Park K, Pyo JJ, Choi Y.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Competitive Binding of Organic Dyes between Cucurbiturils and Octa Acid

ACS Omega, 2018
Shipra Gupta, Yaopeng Zhao, Ramkumar Varadharajan, V. Ramamurthy   +3 more
doaj   +1 more source

‘Oxygen Bound to Magnesium’ as High Voltage Redox Center Causes Sloping of the Potential Profile in Mg‐Doped Layered Oxides for Na‐Ion Batteries

Advanced Functional Materials, EarlyView.
Na‐ion batteries ‐ Impact of doping on the oxygen redox: The sloping potential of NaMg0.1Ni0.4Mn0.5O2 above 4.0 V is caused by a new redox center (arising from the ‘O bound to Mg’), having a higher potential but being more irreversible compared to the ‘O bound to Ni’.
Yongchun Li, Konstantin Köster, Katherine A. Mazzio, Yanan Sun, Annica I. Freytag, Deniz Wong, Christian Schulz, Götz Schuck, Volodymyr Baran, Alba San Jose Mendez, Marcin Zając, Payam Kaghazchi, Philipp Adelhelm   +12 more
wiley   +1 more source

Retraction Note: Overexpression of LncRNA PIK3CD-AS1 promotes expression of LATS1 by competitive binding with microRNA-566 to inhibit the growth, invasion and metastasis of hepatocellular carcinoma cells. [PDF]

Cancer Cell Int
Song W, Zhang J, Zhang J, Sun M, Xia Q.
europepmc   +1 more source

GLCCI1 Deficiency Induces Glucocorticoid Resistance via the Competitive Binding of IRF1:GRIP1 and IRF3:GRIP1 in Asthma. [PDF]

Front Med (Lausanne), 2021
Hu X, Deng S, Luo L, Jiang Y, Ge H, Yin F, Zhang Y, Zhang D, Li X, Feng J.   +9 more
europepmc   +1 more source