Biological functions of supramolecular assemblies of small molecules in the cellular environment

Wang, Jingyu; Li, Hui; Xu, Bing

doi:10.1039/d0cb00219d

Cited by 13 publications

(11 citation statements)

References 125 publications

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“…Targeting agents are very indispensable in designing functional nanomaterial. Self-assembled peptides are very useful for inhibiting pathogenic cells, such as tumor cells and bacteria, and maintaining the physiological functions of normal tissues ( Wang et al, 2021 ). In a study, tandem self-assembled peptide systems based on the targets were designed.…”

Section: Pc Therapymentioning

confidence: 99%

Advanced nanomaterial for prostate cancer theranostics

Hao

Li²,

Cheng³

et al. 2022

Front. Bioeng. Biotechnol.

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Prostate cancer (PC) has the second highest incidence in men, according to global statistical data. The symptoms of PC in the early stage are not obvious, causing late diagnosis in most patients, which is the cause for missing the optimal treatment time. Thus, highly sensitive and precise early diagnosis methods are very important. Additionally, precise therapy regimens for good targeting and innocuous to the body are indispensable to treat cancer. This review first introduced two diagnosis methods, containing prostate-specific biomarkers detection and molecular imaging. Then, it recommended advanced therapy approaches, such as chemotherapy, gene therapy, and therapeutic nanomaterial. Afterward, we summarized the development of nanomaterial in PC, highlighting the importance of integration of diagnosis and therapy as the future direction against cancer.

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Section: Pc Therapymentioning

confidence: 99%

Advanced nanomaterial for prostate cancer theranostics

Hao

Li²,

Cheng³

et al. 2022

Front. Bioeng. Biotechnol.

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“…Some peptide sequences include amino acid sequences that spontaneously generate supramolecular-ordered aggregates. These, through noncovalent intermolecular interactions, maintain the peptide-based self-assembled structures in a stable low-energy state [ 34 , 35 , 36 , 37 , 38 , 39 , 40 ]. Self-assembled supramolecular structures, depending on their morphology, exert different physicochemical and biological properties; therefore, they are widely studied as the basis of many neurodegenerative diseases and can be used for intracellular or targeted tissue drug delivery.…”

Section: Introductionmentioning

confidence: 99%

“…They are also extensively studied for the prolonged release of peptide drugs, which can deliver monomers in a controlled manner. In this context, the study of proteins and peptide self-association and the parameters that can influence these processes paves the path for a wide range of applications [ 34 , 35 , 36 , 37 , 38 , 39 , 40 ].…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Supramolecular Structure Determination in Pharmaceutical Preparation of Self-Assembling Peptides: A Case Study of Lanreotide Autogel

et al. 2022

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The supramolecular structure in peptides’ prolonged-released gel formulations is the most critical parameter for the determination of the pharmaceutical profile of the drug. Here, we report our investigation on lanreotide Autogel as a case study. For the first time, we describe the use of the pulsed field gradient (PFG) diffusion-ordered spectroscopy (DOSY) magic-angle spinning NMR to characterize the supramolecular self-assembly and molecular mobility of different samples of lanreotide Autogel formulations prepared according to different formulation protocols. The diffusion coefficient was used to calculate the hydrodynamic radii of supramolecular assemblies and build relative molecular models. DOSY data were integrated with NMR imaging (MRI) measurements and atomic force microscopy (AFM) imaging.

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“…[5,6] Yet most molecular assemblies are nothing more than aggregates of molecules, lacking physical properties which are not present in the isolated molecules. It is no coincidence that the most prominent applications of molecular assemblies have been in the fields of biological chemistry [7] and host-guest chemistry, [8] in which the necessary functionality arises from assembly shape rather than physical properties. For molecular self-assembly to be useful as a method for creating components for devices, strategies for realizing assemblies with novel physical properties are required.…”

Section: Introductionmentioning

confidence: 99%

Bi‐Functional On‐Surface Molecular Assemblies Predicted From a Multifaceted Computational Approach

Packwood

2022

Advanced Physics Research

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Molecular self-assembly will not become a routine method for building nanomaterials unless our ability to predict the outcome of this process is dramatically improved. Even then, reliable strategies for realizing molecular assemblies with novel functionality are required for building nanomaterials for specific device applications. On the basis of a multifaceted computational approach that integrates several state-of-the-art methods, this paper predicts that bi-functional on-surface assemblies of metal phthalocyanine molecules can be realized through the simple strategy of introducing asymmetry into the phthalocyanine ligands. This bi-functionality arises from a combination of antiferromagnetic ordering within the assembly and presence of locally fluctuating magnetic moments, and has potential applications as non-Gaussian noise sources in nanodevices.

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Biological functions of supramolecular assemblies of small molecules in the cellular environment

Abstract: Supramolecular assemblies of small molecules, exhibiting emergent properties, are becoming a new and dynamic molecular platform for biological functions and for developing novel therapeutic approaches.

Cited by 13 publications

References 125 publications

Advanced nanomaterial for prostate cancer theranostics

Advanced nanomaterial for prostate cancer theranostics

A New Approach to Supramolecular Structure Determination in Pharmaceutical Preparation of Self-Assembling Peptides: A Case Study of Lanreotide Autogel

Bi‐Functional On‐Surface Molecular Assemblies Predicted From a Multifaceted Computational Approach

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