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How a physicist became a biophysicist. 物理学家是如何成为生物物理学家的
IF 4.9
Biophysical reviews Pub Date : 2023-08-09 eCollection Date: 2023-10-01 DOI: 10.1007/s12551-023-01096-z
Ivan V Krasnyakov
{"title":"How a physicist became a biophysicist.","authors":"Ivan V Krasnyakov","doi":"10.1007/s12551-023-01096-z","DOIUrl":"10.1007/s12551-023-01096-z","url":null,"abstract":"<p><p>I am Ivan Krasnyakov, a senior lecturer at the Department of Applied Physics at Perm National Research Polytechnic University. I hold a degree of Candidate of Physical and Mathematical Sciences. My main area of research revolves around the biophysics of multicellular tissues. One of my initial research projects focused on creating a mathematical model to understand the growth of carcinoma. What intrigued me was the fresh perspective from clinical medicine researchers regarding the spatial structure of tumors. It was discovered that tumors display cellular heterogeneity and undergo self-organization, forming diverse architectural patterns during their development. At the moment, I continue to develop our model.</p>","PeriodicalId":9094,"journal":{"name":"Biophysical reviews","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643754/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44057470","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
A short review on the applicability and use of cubosomes as nanocarriers. 立方体作为纳米载体的适用性和用途简评。
IF 4.9
Biophysical reviews Pub Date : 2023-08-07 eCollection Date: 2023-08-01 DOI: 10.1007/s12551-023-01089-y
Amanda Santos Palma, Bruna Renata Casadei, Mayra Cristina Lotierzo, Raphael Dias de Castro, Leandro Ramos Souza Barbosa
{"title":"A short review on the applicability and use of cubosomes as nanocarriers.","authors":"Amanda Santos Palma, Bruna Renata Casadei, Mayra Cristina Lotierzo, Raphael Dias de Castro, Leandro Ramos Souza Barbosa","doi":"10.1007/s12551-023-01089-y","DOIUrl":"10.1007/s12551-023-01089-y","url":null,"abstract":"<p><strong>Abstract: </strong>Cubosomes are nanostructured lipid-based particles that have gained significant attention in the field of drug delivery and nanomedicine. These unique structures consist of a three-dimensional cubic lattice formed by the self-assembly of lipid molecules. The lipids used to construct cubosomes are typically nonionic surfactants, such as monoolein, which possess both hydrophilic and hydrophobic regions, allowing them to form stable, water-dispersible nanoparticles. One of the key advantages of cubosomes is their ability to encapsulate and deliver hydrophobic as well as hydrophilic drugs. The hydrophobic regions of the lipid bilayers provide an ideal environment for incorporating lipophilic drugs, while the hydrophilic regions can encapsulate water-soluble drugs. This versatility makes cubosomes suitable for delivering a wide range of therapeutic agents, including small molecules, proteins, peptides, and nucleic acids. The unique structure of cubosomes also offers stability and controlled release benefits. The lipid bilayers provide a protective barrier, shielding the encapsulated drugs from degradation and improving their stability. Moreover, the cubic lattice arrangement enables the modulation of drug release kinetics by varying the lipid composition and surface modifications. This allows for the development of sustained or triggered drug release systems, enhancing therapeutic efficacy and reducing side effects. Furthermore, cubosomes can be easily modified with targeting ligands or surface modifications to achieve site-specific drug delivery, enhancing therapeutic selectivity and reducing off-target effects. In conclusion, cubosomes offer a versatile and promising platform for the delivery of therapeutic agents. In this manuscript, we will highlight some of these applications.</p><p><strong>Graphical abstract: </strong></p>","PeriodicalId":9094,"journal":{"name":"Biophysical reviews","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480096/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10191063","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
Representing and extracting knowledge from single-cell data. 从单细胞数据中表示和提取知识
Biophysical reviews Pub Date : 2023-08-05 eCollection Date: 2024-02-01 DOI: 10.1007/s12551-023-01091-4
Ionut Sebastian Mihai, Sarang Chafle, Johan Henriksson
{"title":"Representing and extracting knowledge from single-cell data.","authors":"Ionut Sebastian Mihai, Sarang Chafle, Johan Henriksson","doi":"10.1007/s12551-023-01091-4","DOIUrl":"10.1007/s12551-023-01091-4","url":null,"abstract":"<p><p>Single-cell analysis is currently one of the most high-resolution techniques to study biology. The large complex datasets that have been generated have spurred numerous developments in computational biology, in particular the use of advanced statistics and machine learning. This review attempts to explain the deeper theoretical concepts that underpin current state-of-the-art analysis methods. Single-cell analysis is covered from cell, through instruments, to current and upcoming models. The aim of this review is to spread concepts which are not yet in common use, especially from topology and generative processes, and how new statistical models can be developed to capture more of biology. This opens epistemological questions regarding our ontology and models, and some pointers will be given to how natural language processing (NLP) may help overcome our cognitive limitations for understanding single-cell data.</p>","PeriodicalId":9094,"journal":{"name":"Biophysical reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10937862/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45060641","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
Studying temporal dynamics of single cells: expression, lineage and regulatory networks. 研究单个细胞的时间动力学:表达、谱系和调控网络
IF 4.9
Biophysical reviews Pub Date : 2023-08-04 eCollection Date: 2024-02-01 DOI: 10.1007/s12551-023-01090-5
Xinhai Pan, Xiuwei Zhang
{"title":"Studying temporal dynamics of single cells: expression, lineage and regulatory networks.","authors":"Xinhai Pan, Xiuwei Zhang","doi":"10.1007/s12551-023-01090-5","DOIUrl":"10.1007/s12551-023-01090-5","url":null,"abstract":"<p><p>Learning how multicellular organs are developed from single cells to different cell types is a fundamental problem in biology. With the high-throughput scRNA-seq technology, computational methods have been developed to reveal the temporal dynamics of single cells from transcriptomic data, from phenomena on cell trajectories to the underlying mechanism that formed the trajectory. There are several distinct families of computational methods including Trajectory Inference (TI), Lineage Tracing (LT), and Gene Regulatory Network (GRN) Inference which are involved in such studies. This review summarizes these computational approaches which use scRNA-seq data to study cell differentiation and cell fate specification as well as the advantages and limitations of different methods. We further discuss how GRNs can potentially affect cell fate decisions and trajectory structures.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s12551-023-01090-5.</p>","PeriodicalId":9094,"journal":{"name":"Biophysical reviews","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10937865/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44482829","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
Protein structure prediction from the complementary science perspective. 从互补科学角度预测蛋白质结构。
IF 4.9
Biophysical reviews Pub Date : 2023-08-04 eCollection Date: 2023-08-01 DOI: 10.1007/s12551-023-01107-z
Jorge A Vila
{"title":"Protein structure prediction from the complementary science perspective.","authors":"Jorge A Vila","doi":"10.1007/s12551-023-01107-z","DOIUrl":"10.1007/s12551-023-01107-z","url":null,"abstract":"<p><p>A comparative analysis between two problems-apparently unrelated-which are solved in a period of ~400 years, viz., the accurate prediction of both the planetary orbits and the protein structures, leads to inferred conjectures that go far beyond the existence of a common path in their resolution, i.e., observation → pattern recognition → modeling. The preliminary results from this analysis indicate that complementary science, together with a new perspective on protein folding, may help us discover common features that could contribute to a more in-depth understanding of still-unsolved problems such as protein folding.</p>","PeriodicalId":9094,"journal":{"name":"Biophysical reviews","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480374/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10542221","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
From the membrane to the nucleus: mechanical signals and transcription regulation. 从膜到核:机械信号和转录调控。
IF 4.9
Biophysical reviews Pub Date : 2023-08-02 eCollection Date: 2023-08-01 DOI: 10.1007/s12551-023-01103-3
Camila Oses, María Cecilia De Rossi, Luciana Bruno, Paula Verneri, María Candelaria Diaz, Belén Benítez, Alejandra Guberman, Valeria Levi
{"title":"From the membrane to the nucleus: mechanical signals and transcription regulation.","authors":"Camila Oses, María Cecilia De Rossi, Luciana Bruno, Paula Verneri, María Candelaria Diaz, Belén Benítez, Alejandra Guberman, Valeria Levi","doi":"10.1007/s12551-023-01103-3","DOIUrl":"10.1007/s12551-023-01103-3","url":null,"abstract":"<p><p>Mechanical forces drive and modulate a wide variety of processes in eukaryotic cells including those occurring in the nucleus. Relevantly, forces are fundamental during development since they guide lineage specifications of embryonic stem cells. A sophisticated macromolecular machinery transduces mechanical stimuli received at the cell surface into a biochemical output; a key component in this mechanical communication is the cytoskeleton, a complex network of biofilaments in constant remodeling that links the cell membrane to the nuclear envelope. Recent evidence highlights that forces transmitted through the cytoskeleton directly affect the organization of chromatin and the accessibility of transcription-related molecules to their targets in the DNA. Consequently, mechanical forces can directly modulate transcription and change gene expression programs. Here, we will revise the biophysical toolbox involved in the mechanical communication with the cell nucleus and discuss how mechanical forces impact on the organization of this organelle and more specifically, on transcription. We will also discuss how live-cell fluorescence imaging is producing exquisite information to understand the mechanical response of cells and to quantify the landscape of interactions of transcription factors with chromatin in embryonic stem cells. These studies are building new biophysical insights that could be fundamental to achieve the goal of manipulating forces to guide cell differentiation in culture systems.</p>","PeriodicalId":9094,"journal":{"name":"Biophysical reviews","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480138/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10245705","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
Current status and development of neutron radiation for biophysical applications in Colombia. 哥伦比亚中子辐射生物物理应用的现状与发展。
Biophysical reviews Pub Date : 2023-08-01 DOI: 10.1007/s12551-023-01079-0
J Alfonso Leyva, Edwin Munévar
{"title":"Current status and development of neutron radiation for biophysical applications in Colombia.","authors":"J Alfonso Leyva,&nbsp;Edwin Munévar","doi":"10.1007/s12551-023-01079-0","DOIUrl":"https://doi.org/10.1007/s12551-023-01079-0","url":null,"abstract":"<p><p>In Colombia, medical physics started formally about 3 decades ago. Two master's programs in medical physics initiated activities at two different universities. In particular, the master's program at the Pontificia Universidad Javeriana has been underway since 2012, and taking into account its projections, a team was established in 2015 in collaboration with the Universidad Distrital Francisco José de Caldas to conduct basic research on cancer treatment using neutron capture therapy (NCT). The primary goal of our initiative is to create the infrastructure required to adapt new technologies in our universities in the future. The long-term objective is to use neutron radiation to study not only NCT but also biomolecules, membranes, and materials. This will require the commissioning of an actual nuclear facility. Our group has been exclusively focused on carrying out calculations with GEANT4 because of its characteristics as open-source software, its accessibility, and its ample worldwide use and validation in the particle physics, nuclear physics, and medical physics communities. In this work, we present some results of our preliminary design for the ion accelerator column of a compact neutron generator. Also, we present the characterization of the kinematical and dose distributions of boron neutron capture processes using Geant4.</p>","PeriodicalId":9094,"journal":{"name":"Biophysical reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480130/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10542222","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: 1
Structural analysis of peptide binding to integrins for cancer detection and treatment. 肿瘤检测与治疗中整合素结合肽的结构分析。
Biophysical reviews Pub Date : 2023-08-01 DOI: 10.1007/s12551-023-01084-3
Mauricio Urquiza, Daniela Benavides-Rubio, Silvia Jimenez-Camacho
{"title":"Structural analysis of peptide binding to integrins for cancer detection and treatment.","authors":"Mauricio Urquiza,&nbsp;Daniela Benavides-Rubio,&nbsp;Silvia Jimenez-Camacho","doi":"10.1007/s12551-023-01084-3","DOIUrl":"https://doi.org/10.1007/s12551-023-01084-3","url":null,"abstract":"<p><p>Integrins are cell receptors involved in several metabolic pathways often associated with cell proliferation. Some of these integrins are downregulated during human physical development, but when these integrins are overexpressed in adult humans, they can be associated with several diseases, such as cancer. Molecules that specifically bind to these integrins are useful for cancer detection, diagnosis, and treatment. This review focuses on the structures of integrin-peptidic ligand complexes to dissect how the binding occurs and the molecular basis of the specificity and affinity of these peptidic ligands. Understanding these interactions at the molecular level is fundamental to be able to design new peptides that are more specific and more sensitive to a particular integrin. The integrin complexes covered in this review are α5β1, αIIbβ3, αvβ3, αvβ6, and αvβ8, because the molecular structures of the complex have been experimentally determined and their presence on tumor cancer cells are associated with a poor prognosis, making them targets for cancer detection and treatment.</p>","PeriodicalId":9094,"journal":{"name":"Biophysical reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480133/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10560240","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: 1
Multiplicative processing in the modeling of cognitive activities in large neural networks. 大型神经网络中认知活动建模中的乘法处理。
Biophysical reviews Pub Date : 2023-08-01 DOI: 10.1007/s12551-023-01074-5
Juan C Valle-Lisboa, Andrés Pomi, Eduardo Mizraji
{"title":"Multiplicative processing in the modeling of cognitive activities in large neural networks.","authors":"Juan C Valle-Lisboa,&nbsp;Andrés Pomi,&nbsp;Eduardo Mizraji","doi":"10.1007/s12551-023-01074-5","DOIUrl":"https://doi.org/10.1007/s12551-023-01074-5","url":null,"abstract":"<p><p>Explaining the foundation of cognitive abilities in the processing of information by neural systems has been in the beginnings of biophysics since McCulloch and Pitts pioneered work within the biophysics school of Chicago in the 1940s and the interdisciplinary cybernetists meetings in the 1950s, inseparable from the birth of computing and artificial intelligence. Since then, neural network models have traveled a long path, both in the biophysical and the computational disciplines. The biological, neurocomputational aspect reached its representational maturity with the Distributed Associative Memory models developed in the early 70 s. In this framework, the inclusion of signal-signal multiplication within neural network models was presented as a necessity to provide matrix associative memories with adaptive, context-sensitive associations, while greatly enhancing their computational capabilities. In this review, we show that several of the most successful neural network models use a form of multiplication of signals. We present several classical models that included such kind of multiplication and the computational reasons for the inclusion. We then turn to the different proposals about the possible biophysical implementation that underlies these computational capacities. We pinpoint the important ideas put forth by different theoretical models using a tensor product representation and show that these models endow memories with the context-dependent adaptive capabilities necessary to allow for evolutionary adaptation to changing and unpredictable environments. Finally, we show how the powerful abilities of contemporary computationally deep-learning models, inspired in neural networks, also depend on multiplications, and discuss some perspectives in view of the wide panorama unfolded. The computational relevance of multiplications calls for the development of new avenues of research that uncover the mechanisms our nervous system uses to achieve multiplication.</p>","PeriodicalId":9094,"journal":{"name":"Biophysical reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480136/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10542224","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: 2
Poloxamer-based nanogels as delivery systems: how structural requirements can drive their biological performance? 以聚氧乙烯醚为基础的纳米凝胶作为输送系统:结构要求如何影响其生物性能?
IF 4.9
Biophysical reviews Pub Date : 2023-07-29 eCollection Date: 2023-08-01 DOI: 10.1007/s12551-023-01093-2
Bana Shriky, Aryane Alves Vigato, Anderson Ferreira Sepulveda, Ian Pompermayer Machado, Daniele Ribeiro de Araujo
{"title":"Poloxamer-based nanogels as delivery systems: how structural requirements can drive their biological performance?","authors":"Bana Shriky, Aryane Alves Vigato, Anderson Ferreira Sepulveda, Ian Pompermayer Machado, Daniele Ribeiro de Araujo","doi":"10.1007/s12551-023-01093-2","DOIUrl":"10.1007/s12551-023-01093-2","url":null,"abstract":"<p><p>Poloxamers or Pluronics®-based nanogels are one of the most used matrices for developing delivery systems. Due to their thermoresponsive and flexible mechanical properties, they allowed the incorporation of several molecules including drugs, biomacromolecules, lipid-derivatives, polymers, and metallic, polymeric, or lipid nanocarriers. The thermogelling mechanism is driven by micelles formation and their self-assembly as phase organizations (lamellar, hexagonal, cubic) in response to microenvironmental conditions such as temperature, osmolarity, and additives incorporated. Then, different biophysical techniques have been used for investigating those structural transitions from the mechanisms to the preferential component's orientation and organization. Since the design of PL-based pharmaceutical formulations is driven by the choice of the polymer type, considering its physico-chemical properties, it is also relevant to highlight that factors inherent to the polymeric matrix can be strongly influenced by the presence of additives and how they are able to determine the nanogels biopharmaceuticals properties such as bioadhesion, drug loading, surface interaction behavior, dissolution, and release rate control. In this review, we discuss the general applicability of three of the main biophysical techniques used to characterize those systems, scattering techniques (small-angle X-ray and neutron scattering), rheology and Fourier transform infrared absorption spectroscopy (FTIR), connecting their supramolecular structure and insights for formulating effective therapeutic delivery systems.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s12551-023-01093-2.</p>","PeriodicalId":9094,"journal":{"name":"Biophysical reviews","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480380/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10191065","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
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