Biophysics reviews最新文献_第2页

Biomembrane structure at the molecular level and its application in precision medicine. 分子水平生物膜结构及其在精准医学中的应用。

IF 3.4

Biophysics reviews Pub Date : 2025-02-18 eCollection Date: 2025-03-01 DOI: 10.1063/5.0213964

Zicheng Wang, Zhiyuan Tian, Jing Gao, Hongda Wang

{"title":"Biomembrane structure at the molecular level and its application in precision medicine.","authors":"Zicheng Wang, Zhiyuan Tian, Jing Gao, Hongda Wang","doi":"10.1063/5.0213964","DOIUrl":"10.1063/5.0213964","url":null,"abstract":"Biomembranes are fundamental to our understanding of the cell, the basic building block of all life. They form important barriers between the cytoplasm and the microenvironment of the cell and separate organelles within cells. Despite substantial advances in the study of cell membrane structure models, they are still in the stage of model hypothesis due to the high complexity of the components, structures, and functions of membranes. In this review, we summarized the progresses on membrane structure, properties, and functions at the molecular level using newly developed technologies and discussed some challenges and future directions in biomembrane research from our perspective. Moreover, we demonstrated the dynamic functions of membrane proteins and their role in achieving early detection, precise diagnosis, and the development of personalized treatment strategies at the molecular level. Overall, this review aims to engage researchers in related fields and multidisciplinary readers to understand and explore biomembranes for the accurate and effective development of membrane-targeting therapeutic agents.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"6 1","pages":"011306"},"PeriodicalIF":3.4,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11839234/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143470259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing biohybrid robotics: Innovations in contraction models, control techniques, and applications. 推进生物混合机器人：收缩模型、控制技术和应用的创新。

IF 3.4

Biophysics reviews Pub Date : 2025-02-12 eCollection Date: 2025-03-01 DOI: 10.1063/5.0246194

Tingyu Li, Shoji Takeuchi

引用次数: 0

Machine learning in molecular biophysics: Protein allostery, multi-level free energy simulations, and lipid phase transitions. 分子生物物理学中的机器学习：蛋白质变构、多层次自由能模拟和脂质相变。

IF 4.5

Biophysics reviews Pub Date : 2025-02-12 eCollection Date: 2025-03-01 DOI: 10.1063/5.0248589

Qiang Cui

{"title":"Machine learning in molecular biophysics: Protein allostery, multi-level free energy simulations, and lipid phase transitions.","authors":"Qiang Cui","doi":"10.1063/5.0248589","DOIUrl":"10.1063/5.0248589","url":null,"abstract":"Machine learning (ML) techniques have been making major impacts on all areas of science and engineering, including biophysics. In this review, we discuss several applications of ML to biophysical problems based on our recent research. The topics include the use of ML techniques to identify hotspot residues in allosteric proteins using deep mutational scanning data and to analyze how mutations of these hotspots perturb co-operativity in the framework of a statistical thermodynamic model, to improve the accuracy of free energy simulations by integrating data from different levels of potential energy functions, and to determine the phase transition temperature of lipid membranes. Through these examples, we illustrate the unique value of ML in extracting patterns or parameters from complex data sets, as well as the remaining limitations. By implementing the ML approaches in the context of physically motivated models or computational frameworks, we are able to gain a deeper mechanistic understanding or better convergence in numerical simulations. We conclude by briefly discussing how the introduced models can be further expanded to tackle more complex problems.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"6 1","pages":"011305"},"PeriodicalIF":4.5,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11825181/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143434503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Halide perovskites, a game changer for future medical imaging technology. 卤化物钙钛矿，改变未来医学成像技术的游戏规则。

IF 4.5

Biophysics reviews Pub Date : 2025-01-22 eCollection Date: 2025-03-01 DOI: 10.1063/5.0217068

Feng Li

{"title":"Halide perovskites, a game changer for future medical imaging technology.","authors":"Feng Li","doi":"10.1063/5.0217068","DOIUrl":"10.1063/5.0217068","url":null,"abstract":"The accurate detection of x-rays enables broad applications in various fields, including medical radiography, safety and security screening, and nondestructive inspection. Medical imaging procedures require the x-ray detection devices operating with low doses and high efficiency to reduce radiation health risks, as well as expect the flexible or wearable ones that offer more comfortable and accurate diagnosis experiences. Recently, halide perovskites have shown promising potential in high-performance, cost-effective x-ray detection owing to their attractive features, such as strong x-ray absorption, high-mobility-lifetime product, tunable bandgap, fast response, as well as low-cost raw materials, facile processing, and excellent flexibility. In this review, we comprehensively summarize the recent advances in halide perovskite x-ray detectors and imaging, focusing on their application potential in medical imaging technology. We highlight the recent demonstrations and optimizations of halide perovskite x-ray detectors and imaging and their application in medical radiography. Finally, we conclude by pointing out the challenges of perovskite x-ray detection devices for the clinical practical applications and by sharing our perspectives on the potential solutions for driving the field forward.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"6 1","pages":"011302"},"PeriodicalIF":4.5,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11756926/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143048933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recent advances in the tools and techniques for AI-aided diagnosis of atrial fibrillation. 人工智能辅助房颤诊断工具和技术的最新进展。

IF 3.4

Biophysics reviews Pub Date : 2025-01-15 eCollection Date: 2025-03-01 DOI: 10.1063/5.0217416

Saiful Islam, Md Rashedul Islam, Sanjid-E-Elahi, Md Anwarul Abedin, Tansel Dökeroğlu, Mahmudur Rahman

{"title":"Recent advances in the tools and techniques for AI-aided diagnosis of atrial fibrillation.","authors":"Saiful Islam, Md Rashedul Islam, Sanjid-E-Elahi, Md Anwarul Abedin, Tansel Dökeroğlu, Mahmudur Rahman","doi":"10.1063/5.0217416","DOIUrl":"10.1063/5.0217416","url":null,"abstract":"Atrial fibrillation (AF) is recognized as a developing global epidemic responsible for a significant burden of morbidity and mortality. To counter this public health crisis, the advancement of artificial intelligence (AI)-aided tools and methodologies for the effective detection and monitoring of AF is becoming increasingly apparent. A unified strategy from the international research community is essential to develop effective intelligent tools and technologies to support the health professionals for effective surveillance and defense against AF. This review delves into the practical implications of AI-aided tools and techniques for AF detection across different clinical settings including screening, diagnosis, and ambulatory monitoring by reviewing the revolutionary research works. The key finding is that the advance in AI and its use for automatic detection of AF has achieved remarkable success, but collaboration between AI and human intelligence is required for trustworthy diagnostic of this life-threatening cardiac condition. Moreover, designing efficient and robust intelligent algorithms for onboard AF detection using portable and implementable computing devices with limited computation power and energy supply is a crucial research problem. As modern wearable devices are equipped with sophisticated embedded sensors, such as optical sensors and accelerometers, hence photoplethysmography and ballistocardiography signals could be explored as an affordable alternative to electrocardiography (ECG) signals for AF detection, particularly for the development of low-cost and miniature screening and monitoring devices.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"6 1","pages":"011301"},"PeriodicalIF":3.4,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11737893/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143017228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decoding chaperone complexes: Insights from NMR spectroscopy. 解码伴侣复合物：来自核磁共振光谱的见解。

IF 3.4

Biophysics reviews Pub Date : 2024-12-10 eCollection Date: 2024-12-01 DOI: 10.1063/5.0233299

Shreya Ghosh, G Marius Clore

{"title":"Decoding chaperone complexes: Insights from NMR spectroscopy.","authors":"Shreya Ghosh, G Marius Clore","doi":"10.1063/5.0233299","DOIUrl":"10.1063/5.0233299","url":null,"abstract":"Molecular chaperones play a key role in protein homeostasis by preventing misfolding and aggregation, assisting in proper protein folding, and sometimes even disaggregating formed aggregates. Chaperones achieve this through a range of transient weak protein-protein interactions, which are difficult to study using traditional structural and biophysical techniques. Nuclear magnetic resonance (NMR) spectroscopy, however, is well-suited for studying such dynamic states and interactions. A wide range of NMR experiments have been particularly valuable in understanding the mechanisms of chaperone function, as they can characterize disordered protein structures, detect weak and nonspecific interactions involving sparsely populated states, and probe the conformational dynamics of proteins and their complexes. Recent advances in NMR have significantly enhanced our knowledge of chaperone mechanisms, especially chaperone-client interactions, despite the inherent challenges posed by the flexibility and complexity of these systems. In this review, we highlight contributions of NMR to the chaperone field, focusing on the work carried out in our laboratory, which have provided insights into how chaperones maintain function within the cellular environment and interact with various protein substrates.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"5 4","pages":"041308"},"PeriodicalIF":3.4,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11637561/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142831116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Regulation of cytoskeleton dynamics and its interplay with force in plant cells. 植物细胞的细胞骨架动力学调控及其与力的相互作用

IF 3.4

Biophysics reviews Pub Date : 2024-11-25 eCollection Date: 2024-12-01 DOI: 10.1063/5.0201899

Zhenping Sun, Xueqing Wang, Chaoyong Peng, Liufeng Dai, Ting Wang, Yi Zhang

引用次数: 0

AI-integrated network for RNA complex structure and dynamic prediction. 用于 RNA 复杂结构和动态预测的人工智能集成网络。

IF 3.4

Biophysics reviews Pub Date : 2024-11-05 eCollection Date: 2024-12-01 DOI: 10.1063/5.0237319

Haoquan Liu, Chen Zhuo, Jiaming Gao, Chengwei Zeng, Yunjie Zhao

{"title":"AI-integrated network for RNA complex structure and dynamic prediction.","authors":"Haoquan Liu, Chen Zhuo, Jiaming Gao, Chengwei Zeng, Yunjie Zhao","doi":"10.1063/5.0237319","DOIUrl":"10.1063/5.0237319","url":null,"abstract":"RNA complexes are essential components in many cellular processes. The functions of these complexes are linked to their tertiary structures, which are shaped by detailed interface information, such as binding sites, interface contact, and dynamic conformational changes. Network-based approaches have been widely used to analyze RNA complex structures. With their roots in the graph theory, these methods have a long history of providing insight into the static and dynamic properties of RNA molecules. These approaches have been effective in identifying functional binding sites and analyzing the dynamic behavior of RNA complexes. Recently, the advent of artificial intelligence (AI) has brought transformative changes to the field. These technologies have been increasingly applied to studying RNA complex structures, providing new avenues for understanding the complex interactions within RNA complexes. By integrating AI with traditional network analysis methods, researchers can build more accurate models of RNA complex structures, predict their dynamic behaviors, and even design RNA-based inhibitors. In this review, we introduce the integration of network-based methodologies with AI techniques to enhance the understanding of RNA complex structures. We examine how these advanced computational tools can be used to model and analyze the detailed interface information and dynamic behaviors of RNA molecules. Additionally, we explore the potential future directions of how AI-integrated networks can aid in the modeling and analyzing RNA complex structures.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"5 4","pages":"041304"},"PeriodicalIF":3.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540444/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142607572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nanotechnology in retinal diseases: From disease diagnosis to therapeutic applications. 视网膜疾病中的纳米技术：从疾病诊断到治疗应用。

IF 3.4

Biophysics reviews Pub Date : 2024-11-05 eCollection Date: 2024-12-01 DOI: 10.1063/5.0214899

Geetika Kaur, Shivantika Bisen, Nikhlesh K Singh

{"title":"Nanotechnology in retinal diseases: From disease diagnosis to therapeutic applications.","authors":"Geetika Kaur, Shivantika Bisen, Nikhlesh K Singh","doi":"10.1063/5.0214899","DOIUrl":"10.1063/5.0214899","url":null,"abstract":"Nanotechnology has demonstrated tremendous promise in the realm of ocular illnesses, with applications for disease detection and therapeutic interventions. The nanoscale features of nanoparticles enable their precise interactions with retinal tissues, allowing for more efficient and effective treatments. Because biological organs are compatible with diverse nanomaterials, such as nanoparticles, nanowires, nanoscaffolds, and hybrid nanostructures, their usage in biomedical applications, particularly in retinal illnesses, has increased. The use of nanotechnology in medicine is advancing rapidly, and recent advances in nanomedicine-based diagnosis and therapy techniques may provide considerable benefits in addressing the primary causes of blindness related to retinal illnesses. The current state, prospects, and challenges of nanotechnology in monitoring nanostructures or cells in the eye and their application to regenerative ophthalmology have been discussed and thoroughly reviewed. In this review, we build on our previously published review article in 2021, where we discussed the impact of nano-biomaterials in retinal regeneration. However, in this review, we extended our focus to incorporate and discuss the application of nano-biomaterials on all retinal diseases, with a highlight on nanomedicine-based diagnostic and therapeutic research studies.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"5 4","pages":"041305"},"PeriodicalIF":3.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540445/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142607580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Engineered tools to study endocrine dysfunction of pancreas. 研究胰腺内分泌功能障碍的工程工具。

IF 4.5

Biophysics reviews Pub Date : 2024-10-22 eCollection Date: 2024-12-01 DOI: 10.1063/5.0220396

Charles G Alver, Juan Dominguez-Bendala, Ashutosh Agarwal

{"title":"Engineered tools to study endocrine dysfunction of pancreas.","authors":"Charles G Alver, Juan Dominguez-Bendala, Ashutosh Agarwal","doi":"10.1063/5.0220396","DOIUrl":"10.1063/5.0220396","url":null,"abstract":"Pancreas, a vital organ with intricate endocrine and exocrine functions, is central to the regulation of the body's glucose levels and digestive processes. Disruptions in its endocrine functions, primarily regulated by islets of Langerhans, can lead to debilitating diseases such as diabetes mellitus. Murine models of pancreatic dysfunction have contributed significantly to the understanding of insulitis, islet-relevant immunological responses, and the optimization of cell therapies. However, genetic differences between mice and humans have severely limited their clinical translational relevance. Recent advancements in tissue engineering and microfabrication have ushered in a new era of in vitro models that offer a promising solution. This paper reviews the state-of-the-art engineered tools designed to study endocrine dysfunction of the pancreas. Islet on a chip devices that allow precise control of various culture conditions and noninvasive readouts of functional outcomes have led to the generation of physiomimetic niches for primary and stem cell derived islets. Live pancreatic slices are a new experimental tool that could more comprehensively recapitulate the complex cellular interplay between the endocrine and exocrine parts of the pancreas. Although a powerful tool, live pancreatic slices require more complex control over their culture parameters such as local oxygenation and continuous removal of digestive enzymes and cellular waste products for maintaining experimental functionality over long term. The combination of islet-immune and slice on chip strategies can guide the path toward the next generation of pancreatic tissue modeling for better understanding and treatment of endocrine pancreatic dysfunctions.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"5 4","pages":"041303"},"PeriodicalIF":4.5,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11498943/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142513974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0