Results 81 to 90 of about 18,646,034 (305)

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 more
wiley   +1 more source

Secure Medical Image Sharing: Technologies, Watermarking Insights, and Open Issues

IEEE Access
With the growth of the Internet, medical documents have become widely used by healthcare professionals. Secure transmission and management of medical images are essential to enable collaboration while protecting sensitive patient information.
Sawsan D. Mahmood, Fadoua Drira, Hussain Falih Mahdi, Adel M. Alimi   +3 more
doaj   +1 more source

Medical College building, 1914

, 1914
This glass lantern slide features a ground view of the Medical College Building of the Medical College of the State of South Carolina in ...
Medical College of South Carolina (1952-1969). Department of Medical Illustration
core  

Prospecting the protein design landscape

FEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona, Katharina T. Stonig, Jens Meiler, Clara T. Schoeder, Monica L. Fernández‐Quintero   +4 more
wiley   +1 more source

Super resolution reconstruction for medical image based on adaptive multi-dictionary learning and structural self-similarity

Computer Assisted Surgery, 2019
To improve the quality of the super-resolution (SR) reconstructed medical images, an improved adaptive multi-dictionary learning method is proposed, which uses the combined information of medical image itself and the natural images database.
Fang Zhang, Yue Wu, Zhitao Xiao, Lei Geng, Jun Wu, Jia Wen, Wen Wang, Ping Liu   +7 more
doaj   +1 more source

Manifesto for medical research [PDF]

, 2015
The MRCG want to ensure there is a dynamic medical research environment in Ireland. Ensuring priority investment for medical research will help to deliver patient care, public health service transformation and economic and enterprise development.
Medical Research Charities Group
core  

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

FEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise, Tiziano Mazza, Raffaella Scanga, Lara Console, Michele Galluccio, Cesare Indiveri   +5 more
wiley   +1 more source

Self-supervised learning for medical image analysis using image context restoration [PDF]

, 2019
Machine learning, particularly deep learning has boosted medical image analysis over the past years. Training a good model based on deep learning requires large amount of labelled data.
Chen, Liang, Misawa, Kazunari, Fujiwara, Michitaka, Bentley, Paul, Rueckert, Daniel, Mori, Kensaku   +5 more
core   +1 more source

Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein

FEBS Letters, EarlyView.
Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux, Christian Lévêque, Fodil Azzaz, Marion Sangiardi, Sarosh R Irani, Michael Seagar, Jacques Fantini, Oussama El Far   +7 more
wiley   +1 more source

Reviewing CAM-Based Deep Explainable Methods in Healthcare

Applied Sciences
The use of artificial intelligence within the healthcare sector is consistently growing. However, the majority of deep learning-based AI systems are of a black box nature, causing these systems to suffer from a lack of transparency and credibility.
Dan Tang, Jinjing Chen, Lijuan Ren, Xie Wang, Daiwei Li, Haiqing Zhang   +5 more
doaj   +1 more source