Self-assemblies of nucleolipid supramolecular synthons show unique self-sorting and cooperative assembling process

Nuthanakanti, Ashok; Walunj, Manisha B.; Torris, Arun; Badiger, Manohar V.; Srivatsan, Seergazhi G.

doi:10.1039/c9nr01863h

Cited by 14 publications

(11 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mixtures of adenosine and 84c-d were studied, and their self-sorting or co-assembling properties were analyzed. Increases in mechanical strength were observed in several gel mixtures when compared to gels formed from the individual components [98]. This study showed that mixtures of gelators can be used to tune mechanical strength and construct unique higher ordered microarchitectures.…”

Section: From Ribose Derivativesmentioning

confidence: 70%

“…This pH sensitive biocompatible metallogel drug delivery system shows potential as a soft material for biomedical applications. Nuthanakanti et al designed and synthesized adenosine-and uridine-fatty acid conjugates as shown in Figure 50 [98]. The adenosine-diesters 83a-d did not form gels in organic solvents.…”

Section: From Ribose Derivativesmentioning

confidence: 99%

“…This study showed that mixtures of gelators can be used to tune mechanical strength and construct unique higher ordered microarchitectures. Nuthanakanti et al designed and synthesized adenosine-and uridine-fatty acid conjugates as shown in Figure 50 [98]. The adenosine-diesters 83a-d did not form gels in organic solvents.…”

Section: From Ribose Derivativesmentioning

confidence: 99%

See 2 more Smart Citations

Recently Developed Carbohydrate Based Gelators and Their Applications

Morris

Bietsch

Bashaw

et al. 2021

Gels

View full text Add to dashboard Cite

Carbohydrate based low molecular weight gelators have been an intense subject of study over the past decade. The self-assembling systems built from natural products have high significance as biocompatible materials and renewable resources. The versatile structures available from naturally existing monosaccharides have enriched the molecular libraries that can be used for the construction of gelators. The bottom-up strategy in designing low molecular weight gelators (LMWGs) for a variety of applications has been adopted by many researchers. Rational design, along with some serendipitous discoveries, has resulted in multiple classes of molecular gelators. This review covers the literature from 2017–2020 on monosaccharide based gelators, including common hexoses, pentoses, along with some disaccharides and their derivatives. The structure-based design and structure to gelation property relationships are reviewed first, followed by stimuli-responsive gelators. The last section focuses on the applications of the sugar based gelators, including their utilization in environmental remediation, ion sensing, catalysis, drug delivery and 3D-printing. We will also review the available LMWGs and their structure correlations to the desired properties for different applications. This review aims at elucidating the design principles and structural features that are pertinent to various applications and hope to provide certain guidelines for researchers that are working at the interface of chemistry, biochemistry, and materials science.

show abstract

Section: From Ribose Derivativesmentioning

confidence: 70%

Section: From Ribose Derivativesmentioning

confidence: 99%

See 1 more Smart Citation

Recently Developed Carbohydrate Based Gelators and Their Applications

Morris

Bietsch

Bashaw

et al. 2021

Gels

View full text Add to dashboard Cite

show abstract

“…Similarly, proteins, like microtubules and actin filaments, are self-sorted on the molecular level in living cells [3]. Furthermore, the smaller molecules of life such as sugars [4], peptides, and fatty acids [5] undergo self-sorting in the construction of a cell [6,7].…”

Section: Introductionmentioning

confidence: 99%

Using multiple self-sorting for switching functions in discrete multicomponent systems

Ghosh¹,

Schmittel²

2020

Beilstein J. Org. Chem.

View full text Add to dashboard Cite

Over years self-sorting has developed into a powerful tool in supramolecular chemistry, for instance, to promote the error-free formation of intricate multicomponent assemblies. However, in order to use the enormous potential of self-sorting for sophisticated information processing more recent developments have focused on the reversible reconfiguration of multicomponent systems driven by multiple self-sorting protocols. The present mini review will provide an overview over the latest advancements in this field with a focus on reversibly switchable functions in discrete supramolecular systems.

show abstract

“…e CNS method can analyze the whole process of the football match and the collaborative network established by it is both flexible and dynamic, which can not only reflect the overall situation of the team but also track the dynamics of each player during the game. is is the case in the study by Buldu et al [5,14]. is paper mainly uses the CNS method to analyze the cooperation problems in football teams and through the use of a large number of match data to build a matching network and then to reveal the mechanism of team cooperation, focusing on the team's attack and defense strategy.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Modeling of Football Team’s Collaboration Mode and Performance Evaluation Using Network Science and BP Neural Network

Zhang

Zhao

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

With the continuous development of society, the cooperation of different dimensions is urgently needed. Analysis and modeling of team cooperation model and performance evaluation are especially important for competitive sport. In this paper, a football team’s attacking mode and the team performance were assessed using network science methodologies. The match process was analyzed by using the data of Team A (given in the form of attachment due to excessive file size) and the method of complex network science. Each player was regarded as a node in the network, and the interaction among players was considered as the connection to the network. This method directly reflected the favorable formation of the team and the interaction frequency among members. Then, a team performance evaluation model was established using the backpropagation neural network (BPNN) and the uncrossed analytic hierarchy process (U-AHP) method based on the factors including the number of passes and successful pass rate. The team performance was comprehensively rated from two levels: member and team level. Analysis from established models indicated that Team A had a higher probability of winning when using the “4-4-2” offensive strategy and performance evaluation analysis indicated that more passes and higher pass success rates were more beneficial to win the game. Following the model developed in this study, some suggestions were given from the perspectives of team strategy, attack mode, cooperation, and incentive mode.

show abstract

Self-assemblies of nucleolipid supramolecular synthons show unique self-sorting and cooperative assembling process

Abstract: Cocktails of nucleolipids and nucleosides serve as powerful supramolecular synthons to build unique architectures and gels with remarkably enhanced mechanical strength via a self-sorting and cooperative self-assembling process.

Cited by 14 publications

References 76 publications

Recently Developed Carbohydrate Based Gelators and Their Applications

Recently Developed Carbohydrate Based Gelators and Their Applications

Using multiple self-sorting for switching functions in discrete multicomponent systems

Analysis and Modeling of Football Team’s Collaboration Mode and Performance Evaluation Using Network Science and BP Neural Network

Contact Info

Product

Resources

About