Results 241 to 245 of about 192,249 (245)

Fluorinated Carnitine Derivatives as Tools to Visualise Carnitine Transport and Metabolism

Advanced Science, EarlyView.
Fluorinated carnitines, fluoromethyl carnitine (FMC) and [18F]fluoromethyl carnitine ([18F]FMC), are synthesised and established as powerful probes to interrogate carnitine biology. The multimodal detection facilitated by fluorine labelling, including 19F NMR, mass spectrometry, and positron emission tomography imaging, allowed for visualisation of ...
Richard S. Edwards, Ella‐May Hards, Sofia N. dos Santos, Hannah E. Greenwood, Madeleine E. George, Andrea Emanuelli, Muhammet Tanc, Thomas R. Eykyn, Timothy H. Witney   +8 more
wiley   +1 more source

Binding Mode-Based Physicochemical Screening Method Using d-Ala-d-Ala Silica Gel and Chemical Modification Approach to Facilitate Discovery of New Macrolactams, Banglactams A and B, from Nonomuraea bangladeshensis K18-0086. [PDF]

ACS Omega
Kimishima A, Suzuki Y, Kosaka S, Honsho M, Honma S, Tsutsumi H, Inahashi Y, Watanabe Y, Nakashima T, Asami Y, Iwatsuki M.   +10 more
europepmc   +1 more source

Modulating Integrin and Growth Factor Signaling With Peptides: Strategies to Synergistically Enhance Bone Tissue Regeneration

Advanced Science, EarlyView.
It has been demonstrated that, in the bone extracellular matrix (ECM), integrins and growth factor receptors (GFRs) engage in synergistic signaling to guide bone healing and regeneration. This review provides a comprehensive overview of current strategies using ECM‐derived peptides to recreate the cellular microenvironment and harness synergistic ...
Lluís Oliver‐Cervelló, Elisabetta Ada Cavalcanti‐Adam, Carlos Mas‐Moruno   +2 more
wiley   +1 more source

A Closed‐Loop Hybrid Discovery System of Type I Photosensitizers for Hypoxic Tumor Therapy

Advanced Science, EarlyView.
The work developed a closed‐loop hybrid discovery system to rationally design and predict high‐performance Type I PSs for hypoxic tumor therapy. 664 Potential candidates are identified from a dataset through a support vector machine (SVM) classification model, and two candidates are experimentally verified as Type I PSs, which highlighted the potential
Xia Ling, Yixin Zhu, Min Li, Zongliang Xie, Lei Cao, Wentao Song, Dandan Wang, Duo Mao, Xiaonan Wang, Bin Liu   +9 more
wiley   +1 more source