Chiral helical scaffolds: Unlocking their potential in biomolecular interactions and biomedical applications.

Biotechnol Adv

Department of Medical Chemistry and Biochemistry, Faculty of Medicine and Dentistry, Palacky University, Hnevotinska 3, 775 15 Olomouc, Czech Republic. Electronic address:

Published: January 2025

AI Article Synopsis

  • Molecules with spiral geometry, like DNA and proteins, are common in nature and serve as a basis for exploring helicenes, which are carbon-rich structures with unique optical and chiral properties.
  • Helicienes are gaining traction in biomedicine for their applications in cell imaging, drug delivery systems, protective coatings for implants, biosensors, and drug discovery due to their ability to interact with biomolecules.
  • The review highlights recent advancements in helicene derivatives that improve luminescence and photochemical properties, emphasizing their significance in enhancing bio-imaging and diagnostics in biomedical technology.

Article Abstract

In nature, various molecules possess spiral geometry. Such helical structures are even prevalent within the human body, represented classically by DNA and three-dimensional (secondary structure) protein folding. In this review, we chose helicenes and helicene-like structures -synthetically accessible carbon-rich molecules- as a compelling example of helically chiral scaffolds. Helicene chemistry, traditionally anchored in materials science, has been a subject of increasing interest in the biomedical field due to the unique optical and chiral properties of these helical structures. This review explores the diverse applications of helicenes in biomedicine, focusing on their role in cell imaging, protective coatings for implants, drug delivery systems, biosensors, and drug discovery. We discuss the unique properties of helicenes and helicene-like structures, highlighting their ability to form complex interactions with various biomolecules and their potential in the development of candidates for therapeutic agents. Recent advances in helicene derivatives with enhanced circularly polarized luminescence and other photochemical properties are also reviewed, underlining their utility in precise bio-imaging and diagnostic techniques. This review consolidates the current literature and emphasizes the growing importance of helicenes in bridging chemistry, materials science, and biology for innovative technological and biomedical applications.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.biotechadv.2024.108513DOI Listing

Publication Analysis

Top Keywords

biomedical applications
8
helical structures
8
helicenes helicene-like
8
helicene-like structures
8
materials science
8
chiral helical
4
helical scaffolds
4
scaffolds unlocking
4
unlocking potential
4
potential biomolecular
4

Similar Publications

Liquid-Metal-Based Multichannel Strain Sensor for Sign Language Gesture Classification Using Machine Learning.

ACS Appl Mater Interfaces

January 2025

Centre for Robotics and Automation, Department of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.

Liquid metals are highly conductive like metallic materials and have excellent deformability due to their liquid state, making them rather promising for flexible and stretchable wearable sensors. However, patterning liquid metals on soft substrates has been a challenge due to high surface tension. In this paper, a new method is proposed to overcome the difficulties in fabricating liquid-state strain sensors.

View Article and Find Full Text PDF

Normalization Based on Shift and Ion Intensity in SALDI-TOFMS Imaging of Samples with Non-Horizontal Surface.

Mass Spectrom (Tokyo)

December 2024

Department of Pharmaceutical Engineering, Faculty of Engineering, Toyama Prefectural University, 5180 Kurokawa, Imizu-City, Toyama 939-0398, Japan.

Matrix-assisted laser desorption/ionization (MALDI), surface-assisted laser desorption/ionization (SALDI), and time-of-flight mass spectrometry (TOFMS) imaging are used for visualizing the spatial distribution of analytes. Mass spectrometry (MS) imaging of a sample with a rough surface with a uniform distribution of an analyte does not provide uniform ion intensities in the image. A shift in the value of the analyte ions is also observed.

View Article and Find Full Text PDF

The p53-MDM2 pathway plays a crucial role regulating tumor suppression and is a focal point of cancer research. This literature review delves into the complex interplay between the tumor suppressor protein p53 and its main regulator MDM2, highlighting their interaction and implications in cancer development and progression. The review compiles and summarizes the existing understanding of the biology and regulation of p53 and MDM2, emphasizing their roles in various cellular processes, including cell cycle regulation, DNA repair, apoptosis, and metabolism.

View Article and Find Full Text PDF

In this work, a cost-effective, scalable pneumatic silicone actuator array is introduced, designed to dynamically conform to the user's skin and thereby alleviate localised pressure within a prosthetic socket. The appropriate constitutive models for developing a finite element representation of these actuators are systematically identified, parametrised, and validated. Employing this computational framework, the surface deformation fields induced by 270 variations in soft actuator array design parameters under realistic load conditions are examined, achieving predictive accuracies within 70 µm.

View Article and Find Full Text PDF

Recent advancements in large language models (LLMs) like ChatGPT and LLaMA have shown significant potential in medical applications, but their effectiveness is limited by a lack of specialized medical knowledge due to general-domain training. In this study, we developed Me-LLaMA, a new family of open-source medical LLMs that uniquely integrate extensive domain-specific knowledge with robust instruction-following capabilities. Me-LLaMA comprises foundation models (Me-LLaMA 13B and 70B) and their chat-enhanced versions, developed through comprehensive continual pretraining and instruction tuning of LLaMA2 models using both biomedical literature and clinical notes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!