Hasil untuk "Chemistry"

Chunlin Zhuang, Wen Zhang, C. Sheng et al.

E. Gillis, K. Eastman, M. Hill et al.

C. Pillai, W. Paul, C. P. Sharma

C. Winterbourn

E. R. Malinowski

J. Elliott

J. Huheey

H. Olphen

N. Connelly, W. Geiger

C. Tanford

Xiao-Min He, D. Carter

B. Honig, A. Nicholls

M. T. Pope, A. Müller

J. Lehn

T. Pirali, Marta Serafini, S. Cargnin et al.

The use of deuteration in medicinal chemistry has exploded in the past years, and the FDA has recently approved the first deuterium-labeled drug. Precision deuteration goes beyond the pure and simple amelioration of the pharmacokinetic parameters of a drug and might provide an opportunity when facing problems in terms of metabolism-mediated toxicity, drug interactions, and low bioactivation. The use of deuterium is even broader, offering the opportunity to lower the degree of epimerization, reduce the dose of coadministered boosters, and discover compounds where deuterium is the basis for the mechanism of action. Nevertheless, designing, synthesizing, and developing a successful deuterated drug is far from straightforward, and the translation from concept to practice is often unpredictable. This Perspective provides an overview of the recent developments of deuteration, with a focus on deuterated clinical candidates, and highlights both opportunities and challenges of this strategy.

O. Yaghi, C. Diercks, Markus J. Kalmutzki

Reticular chemistry has been applied to synthesize new classes of porous materials that are successfully used for myraid applications in areas such as gas separation, catalysis, energy, and electronics. Introduction to Reticular Chemistry gives an unique overview of the principles of the chemistry behind metal-organic frameworks (MOFs), covalent organic frameworks (COFs), and zeolitic imidazolate frameworks (ZIFs). Written by one of the pioneers in the field, this book covers all important aspects of reticular chemistry, including design and synthesis, properties and characterization, as well as current and future applications

F. F. de Araújo, David de Paulo Farias, I. A. Neri-Numa et al.

Polyphenols are compounds naturally present in fruits and vegetables that are gaining more and more attention due to their therapeutic effects and their potential technological applications. In this review, we intend to demonstrate the importance of some phenolic compounds, addressing their biological effects and potential for applications in various industrial fields. The intake of these compounds in appropriate concentrations can present promising effects in the prevention of diseases such as diabetes, obesity, Parkinson's, Alzheimer's, and others. They can also be used to improve the physicochemical properties of starch, in the preservation of foods, as natural dyes, prebiotic ingredients, hydrogels and nanocomplexes. In addition, these compounds have potential for innovation in the most diverse technological fields, including organic fine chemistry, basic materials chemistry, pharmaceuticals, food chemistry, chemical engineering, etc.

M. Wasielewski, M. Forbes, N. Frank et al.

A. C. Mater, M. Coote

Machine learning enables computers to address problems by learning from data. Deep learning is a type of machine learning that uses a hierarchical recombination of features to extract pertinent information and then learn the patterns represented in the data. Over the last eight years, its abilities have increasingly been applied to a wide variety of chemical challenges, from improving computational chemistry to drug and materials design and even synthesis planning. This review aims to explain the concepts of deep learning to chemists from any background and follows this with an overview of the diverse applications demonstrated in the literature. We hope that this will empower the broader chemical community to engage with this burgeoning field and foster the growing movement of deep learning accelerated chemistry.

Samuel L. Scinto, D. A. Bilodeau, Robert Hincapie et al.