Mohammad Mahmoudi Gomari, Mehdi Alidadi, Neda Rostami, Sidi A. Bencherif
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Reshaping Protein-Based Nanoparticles: Innovative Artificial Intelligence-Driven Strategies for Structural Design and Applications
Nanoparticles (NPs) have become a pivotal technology in biomedical research due to their unique physicochemical properties and nanoscale size, allowing for targeted applications. Among NP materials, proteins and their derivatives stand out for their biocompatibility, engineering flexibility, and inherent biological functions, making them especially attractive for NP design. However, the structural and biochemical complexity of proteins has historically presented challenges in NP development. Recent advancements in artificial intelligence (AI) have transformed this field. Neural network models such as AlphaFold, ProteinMPNN, and RoseTTAFold, along with protein language models like evolutionary scale modeling, enable the design of protein-based NPs (PNPs) with diverse symmetries, shapes, and functionalities. These AI-driven approaches address traditional limitations, unlocking new possibilities in nanomedicine. This review explores the transformative role of AI in PNP design, emphasizing its potential to broaden applications, solve challenges, and drive innovative solutions in biotechnology and medical research.
期刊介绍：
Advanced NanoBiomed Research will provide an Open Access home for cutting-edge nanomedicine, bioengineering and biomaterials research aimed at improving human health. The journal will capture a broad spectrum of research from increasingly multi- and interdisciplinary fields of the traditional areas of biomedicine, bioengineering and health-related materials science as well as precision and personalized medicine, drug delivery, and artificial intelligence-driven health science.
The scope of Advanced NanoBiomed Research will cover the following key subject areas:
▪ Nanomedicine and nanotechnology, with applications in drug and gene delivery, diagnostics, theranostics, photothermal and photodynamic therapy and multimodal imaging.
▪ Biomaterials, including hydrogels, 2D materials, biopolymers, composites, biodegradable materials, biohybrids and biomimetics (such as artificial cells, exosomes and extracellular vesicles), as well as all organic and inorganic materials for biomedical applications.
▪ Biointerfaces, such as anti-microbial surfaces and coatings, as well as interfaces for cellular engineering, immunoengineering and 3D cell culture.
▪ Biofabrication including (bio)inks and technologies, towards generation of functional tissues and organs.
▪ Tissue engineering and regenerative medicine, including scaffolds and scaffold-free approaches, for bone, ligament, muscle, skin, neural, cardiac tissue engineering and tissue vascularization.
▪ Devices for healthcare applications, disease modelling and treatment, such as diagnostics, lab-on-a-chip, organs-on-a-chip, bioMEMS, bioelectronics, wearables, actuators, soft robotics, and intelligent drug delivery systems.
with a strong focus on applications of these fields, from bench-to-bedside, for treatment of all diseases and disorders, such as infectious, autoimmune, cardiovascular and metabolic diseases, neurological disorders and cancer; including pharmacology and toxicology studies.
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