Recent Progress in the Gold-Catalyzed Annulations of Ynamides with Isoxazole Derivatives via α-Imino Gold Carbenes

Synlett ◽  
2021 ◽  
Author(s):  
Long Li ◽  
Wen-Feng Luo ◽  
Long-Wu Ye
Keyword(s):  
Recent Progress ◽  
High Efficiency ◽  
Transfer Reactions ◽  
The Past ◽  
Rapid Access ◽  
Nitrene Transfer ◽  
Rapid Construction ◽  
Isoxazole Derivatives

During the past two decades, gold-catalyzed nitrene-transfer reactions via α-imino gold carbenes have received extensive attention as this strategy provides rapid access to N-containing molecules with high efficiency. In this review, we will focus on the recent progress in the gold-catalyzed formal annulations of ynamides with isoxazole derivatives as nitrene-transfer reagents via α-imino gold carbenes in atom-economic and rapid construction of N-heterocycles.

Recent Progress in the Copper-Catalyzed Cascade Cyclization Involving Intramolecular Hydroamination of Terminal Alkynes

Synlett ◽  
2019 ◽  
Vol 30 (18) ◽  
pp. 2035-2040 ◽  
Author(s):  
Tong-De Tan ◽  
Yang-Bo Chen ◽  
Xin-Yang Fan ◽  
Long-Wu Ye
Keyword(s):  
Transition Metal ◽  
Recent Progress ◽  
Environmentally Benign ◽  
Terminal Alkynes ◽  
Cascade Cyclization ◽  
The Past ◽  
Rapid Construction ◽  
Transition Metal Catalyzed ◽  
Metal Catalyzed

Transition-metal-catalyzed cascade cyclization initiated by intramolecular alkyne hydroamination has received considerable attention over the past decade and has been widely used in the rapid construction of a diverse array of valuable complex N-heterocycles. Recent progress in this area is reviewed with an emphasis on the cheap and environmentally benign copper-catalyzed cascade cyclization of terminal alkynes.

Recent Progress in Machine Learning-based Prediction of Peptide Activity for Drug Discovery

2019 ◽  
Vol 19 (1) ◽  
pp. 4-16 ◽  
Author(s):  
Qihui Wu ◽  
Hanzhong Ke ◽  
Dongli Li ◽  
Qi Wang ◽  
Jiansong Fang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Drug Discovery ◽  
Large Scale ◽  
Recent Progress ◽  
High Specificity ◽  
Learning Approaches ◽  
Anticancer Peptides ◽  
The Past ◽  
Traditional Approaches ◽  
Large Scale Screening

Over the past decades, peptide as a therapeutic candidate has received increasing attention in drug discovery, especially for antimicrobial peptides (AMPs), anticancer peptides (ACPs) and antiinflammatory peptides (AIPs). It is considered that the peptides can regulate various complex diseases which are previously untouchable. In recent years, the critical problem of antimicrobial resistance drives the pharmaceutical industry to look for new therapeutic agents. Compared to organic small drugs, peptide- based therapy exhibits high specificity and minimal toxicity. Thus, peptides are widely recruited in the design and discovery of new potent drugs. Currently, large-scale screening of peptide activity with traditional approaches is costly, time-consuming and labor-intensive. Hence, in silico methods, mainly machine learning approaches, for their accuracy and effectiveness, have been introduced to predict the peptide activity. In this review, we document the recent progress in machine learning-based prediction of peptides which will be of great benefit to the discovery of potential active AMPs, ACPs and AIPs.

scholarly journals Template-Free Self-Assembly of Two-Dimensional Polymers into Nano/Microstructured Materials

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3310
Author(s):  
Shengda Liu ◽  
Jiayun Xu ◽  
Xiumei Li ◽  
Tengfei Yan ◽  
Shuangjiang Yu ◽  
...  
Keyword(s):  
Self Assembly ◽  
Recent Progress ◽  
Two Dimensional ◽  
Subsequent Removal ◽  
The Past ◽  
2D Polymers ◽  
Template Free ◽  
Self Assembled ◽  
The Relationship ◽  
Polymer Tubes

In the past few decades, enormous efforts have been made to synthesize covalent polymer nano/microstructured materials with specific morphologies, due to the relationship between their structures and functions. Up to now, the formation of most of these structures often requires either templates or preorganization in order to construct a specific structure before, and then the subsequent removal of previous templates to form a desired structure, on account of the lack of “self-error-correcting” properties of reversible interactions in polymers. The above processes are time-consuming and tedious. A template-free, self-assembled strategy as a “bottom-up” route to fabricate well-defined nano/microstructures remains a challenge. Herein, we introduce the recent progress in template-free, self-assembled nano/microstructures formed by covalent two-dimensional (2D) polymers, such as polymer capsules, polymer films, polymer tubes and polymer rings.

scholarly journals In defence of machine learning: Debunking the myths of artificial intelligence

2018 ◽  
Vol 14 (4) ◽  
pp. 734-747 ◽  
Author(s):  
Constance de Saint Laurent
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Recent Progress ◽  
Life Time ◽  
Clear Understanding ◽  
Social Scientists ◽  
Scientific Publications ◽  
The Past ◽  
Potential Benefits ◽  
The Media

There has been much hype, over the past few years, about the recent progress of artificial intelligence (AI), especially through machine learning. If one is to believe many of the headlines that have proliferated in the media, as well as in an increasing number of scientific publications, it would seem that AI is now capable of creating and learning in ways that are starting to resemble what humans can do. And so that we should start to hope – or fear – that the creation of fully cognisant machine might be something we will witness in our life time. However, much of these beliefs are based on deep misconceptions about what AI can do, and how. In this paper, I start with a brief introduction to the principles of AI, machine learning, and neural networks, primarily intended for psychologists and social scientists, who often have much to contribute to the debates surrounding AI but lack a clear understanding of what it can currently do and how it works. I then debunk four common myths associated with AI: 1) it can create, 2) it can learn, 3) it is neutral and objective, and 4) it can solve ethically and/or culturally sensitive problems. In a third and last section, I argue that these misconceptions represent four main dangers: 1) avoiding debate, 2) naturalising our biases, 3) deresponsibilising creators and users, and 4) missing out some of the potential uses of machine learning. I finally conclude on the potential benefits of using machine learning in research, and thus on the need to defend machine learning without romanticising what it can actually do.

scholarly journals A combined experimental and theoretical study on the reactivity of nitrenes and nitrene radical anions

2022 ◽  
Vol 13 (1) ◽  
Author(s):  
Yujing Guo ◽  
Chao Pei ◽  
Rene M. Koenigs
Keyword(s):  
Radical Anion ◽  
Room Temperature ◽  
Theoretical Study ◽  
Transition Metal Catalysts ◽  
Transfer Reactions ◽  
Mechanistic Studies ◽  
Reaction Conditions ◽  
Nitrene Transfer ◽  
Triplet Nitrene ◽  
Nitrogen Bonds

AbstractNitrene transfer reactions represent one of the key reactions to rapidly construct new carbon-nitrogen bonds and typically require transition metal catalysts to control the reactivity of the pivotal nitrene intermediate. Herein, we report on the application of iminoiodinanes in amination reactions under visible light photochemical conditions. While a triplet nitrene can be accessed under catalyst-free conditions, the use of a suitable photosensitizer allows the access of a nitrene radical anion. Computational and mechanistic studies rationalize the access and reactivity of triplet nitrene and nitrene radical anion and allow the direct comparison of both amination reagents. We conclude with applications of both reagents in organic synthesis and showcase their reactivity in the reaction with olefins, which underline their markedly distinct reactivity. Both reagents can be accessed under mild reaction conditions at room temperature without the necessity to exclude moisture or air, which renders these metal-free, photochemical amination reactions highly practical.

Recent progress of high efficiency white LEDs

2007 ◽  
Vol 204 (6) ◽  
pp. 2087-2093 ◽  
Author(s):  
Yukio Narukawa ◽  
Junya Narita ◽  
Takahiko Sakamoto ◽  
Takao Yamada ◽  
Hiroki Narimatsu ◽  
...  
Keyword(s):  
Recent Progress ◽  
High Efficiency ◽  
White Leds

Recent progress of Spectrolab high-efficiency space solar cells

2012 ◽  
Author(s):  
Daniel C. Law ◽  
X.Q. Liu ◽  
J.C. Boisvert ◽  
E.M. Redher ◽  
C.M. Fetzer ◽  
...  
Keyword(s):  
Solar Cells ◽  
Recent Progress ◽  
High Efficiency

An Overview of the Catenae

2021 ◽  
pp. 135-154
Author(s):  
Gilles Dorival
Keyword(s):  
New Testament ◽  
Old Testament ◽  
Recent Progress ◽  
Literary Form ◽  
Sixth Century ◽  
The Past ◽  
Biblical Commentary ◽  
The New Testament ◽  
Persuasive Arguments ◽  
Severus Of Antioch

Catenae appeared in Judaea/Palestine at the beginning of the sixth century. They consist of commentaries, homilies, scholia of the past centuries, and any other literary form in which Scripture verses are explained. Ecclesiastical writings are quoted in the form of extracts, sometimes literal, sometimes rewritten, according to the order of the verses of each Biblical book. Each extract is normally preceded by the name of its author in the genitive case. With time, the catenae were formed not only from commentaries, homilies, scholia, and other patristic writings, but also from pre-existing catenae mixed with these sources. After the sixth century, catenae became the most important media of biblical commentary until the end of the Byzantium Empire (1453). Many debated issues remain. Is Procopius of Gaza (470–530) the father of the catenae? Maybe the two-author catenae predate him, even if this form is better connected with the Byzantine humanism of the ninth and tenth centuries. As for the multiple-author catenae, it is not certain if any of them do are prior Procopius. The compilers of the catenae began their project with the Old Testament, as it was considered to be obscure and foundational to the New Testament, whereas the New Testament was considered to be clear and explicative of the Old Testament. The identity of the compilers of the catenae is shrouded in mystery. Only a few names are known: chiefly, Procopius of Gaza in Palestine and Nicetas of Heraclea in Constantinople. Other names have been proposed: the patriarch Photius, Peter of Laodicea, John Drougarios, but without any persuasive arguments. A final issue concerns Monophysite (or Miaphysite) catenae: were some catenae Monophysite? Or was this literary form indifferent to questions of orthodoxy? In some catenae, Severus of Antioch is called ‘saint’, which may indicate a Monophysite origin. Finally, despite recent progress, many catenae still await publication. For instance, Nicetas’ catena on the Psalms is a monumental work of Byzantine scholarship and it deserves to be available to modern readers.

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