1544241-64-6 | (R)-4-amino-3-fluoro-2-methylbutan-2-ol

CAS:1544241-64-6 | (R)-4-amino-3-fluoro-2-methylbutan-2-ol,Description

R-4-Amino-3-fluoro-2-methyl-2-butanol, also known as R-AMFB, is an organic compound with a wide range of uses in scientific research. It is an important chiral building block used in the synthesis of various compounds, and is also employed in various biochemical and physiological studies. 
 

Scientific Research Applications

1. Metabolite Patterns of Carbonic Anhydrase Inhibitors

• Application Summary : The study focuses on the metabolite patterns of carbonic anhydrase inhibitors Brinzolamide and Dorzolamide, which are prohibited in sports after systemic administration.
• Methods of Application : The in-vivo metabolism of Brinzolamide and Dorzolamide after ophthalmic (eye drop) and systemic (oral) administration to pigs is evaluated. The metabolite pattern of these substances is evaluated and compared to samples obtained from patients that therapeutically apply either Brinzolamide or Dorzolamide as ophthalmic preparations.
• Results : Preliminary results showed that the metabolism of Brinzolamide and Dorzolamide differs for the different application routes. These substances (together with their metabolites) are enriched in the red blood cells, with a resulting half-life of several weeks after administration.

2. AlphaFold 3 AI Model

• Application Summary : AlphaFold 3, developed by Google DeepMind and Isomorphic Labs, can predict the structure and interactions of all life’s molecules with unprecedented accuracy.
• Methods of Application : Given an input list of molecules, AlphaFold 3 generates their joint 3D structure, revealing how they all fit together.
• Results : For the interactions of proteins with other molecule types, AlphaFold 3 sees at least a 50% improvement compared with existing prediction methods. For some important categories of interaction, prediction accuracy has doubled.

3. Metabolite Patterns of Carbonic Anhydrase Inhibitors

• Application Summary : The study focuses on the metabolite patterns of carbonic anhydrase inhibitors Brinzolamide and Dorzolamide, which are prohibited in sports after systemic administration.
• Methods of Application : The in-vivo metabolism of Brinzolamide and Dorzolamide after ophthalmic (eye drop) and systemic (oral) administration to pigs is evaluated. The metabolite pattern of these substances is evaluated and compared to samples obtained from patients that therapeutically apply either Brinzolamide or Dorzolamide as ophthalmic preparations.
• Results : Preliminary results showed that the metabolism of Brinzolamide and Dorzolamide differs for the different application routes. These substances (together with their metabolites) are enriched in the red blood cells, with a resulting half-life of several weeks after administration.

4. AlphaFold 3 AI Model

• Application Summary : AlphaFold 3, developed by Google DeepMind and Isomorphic Labs, can predict the structure and interactions of all life’s molecules with unprecedented accuracy.
• Methods of Application : Given an input list of molecules, AlphaFold 3 generates their joint 3D structure, revealing how they all fit together.
• Results : For the interactions of proteins with other molecule types, AlphaFold 3 sees at least a 50% improvement compared with existing prediction methods. For some important categories of interaction, prediction accuracy has doubled.

5. Enhancement of Metalens Camera Image Quality

• Application Summary : Researchers have used deep learning techniques to enhance the image quality of a metalens camera. The new approach uses artificial intelligence to turn low-quality images into high-quality ones, which could make these cameras viable for a multitude of imaging tasks including intricate microscopy applications and mobile devices.
• Methods of Application : The researchers used a type of machine learning known as a multi-scale convolutional neural network to improve resolution, contrast and distortion in images from a small camera.
• Results : The new approach has made these cameras viable for a multitude of imaging tasks including intricate microscopy applications and mobile devices.

6. Utilizing Creative Methods in Public and Patient Involvement in Health and Social Care Research

• Application Summary : There is increasing interest in using patient and public involvement (PPI) in research to improve the quality of healthcare. Creative methods are being developed to involve patients for whom traditional methods are inaccessible or non-engaging.
• Methods of Application : The researchers conducted electronic searches over five databases to determine the strengths and limitations of using creative PPI methods in health and social care research.
• Results : The researchers identified four limitations and five strengths to the creative approaches. Strengths included the disruption of power hierarchies and the creation of a safe space for people to express mundane or “taboo” topics.

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