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| 1 | Chiral mesoporous silica nano-screws as an efficient biomimetic oral drug delivery platform through multiple topological mechanisms显示文摘In the microscale, bacteria with helical body shapes have been reported to yield advantages in many bio-processes. In the human society, there are also wisdoms in knowing how to recognize and make use of helical shapes with multi-functionality. Herein, we designed atypical chiral mesoporous silica nano-screws(CMSWs) with ideal topological structures(e.g., small section area, relative rough surface,screw-like body with three-dimension chirality) and demonstrated that CMSWs displayed enhanced bioadhesion, mucus-penetration and cellular uptake(contributed by the macropinocytosis and caveolaemediated endocytosis pathways) abilities compared to the chiral mesoporous silica nanospheres(CMSSs)and chiral mesoporous silica nanorods(CMSRs), achieving extended retention duration in the gastrointestinal(GI) tract and superior adsorption in the blood circulation(up to 2.61-and 5.65-times in AUC).After doxorubicin(DOX) loading into CMSs, DOX@CMSWs exhibited controlled drug release manners with pH responsiveness in vitro. Orally administered DOX@CMSWs could efficiently overcome the intestinal epithelium barrier(IEB), and resulted in satisfactory oral bioavailability of DOX(up to 348%).CMSWs were also proved to exhibit good biocompatibility and unique biodegradability. These findings displayed superior ability of CMSWs in crossing IEB through multiple topological mechanisms and would provide useful information on the rational design of nano-drug delivery systems. | Yumei Wang Jia Ke Xianmou Guo Kaijun Gou Zhentao Sang Yanbu Wang Yan Bian Sanming Li Heran Li | 2022 | Acta Pharmaceutica Sinica B2022，12，3： | 1 |
| 2 | Efficient Certificateless Authenticated Key Agreement for Blockchain-Enabled Internet of Medical Things显示文摘Internet of Medical Things(IoMT)plays an essential role in collecting and managing personal medical data.In recent years,blockchain technology has put power in traditional IoMT systems for data sharing between different medical institutions and improved the utilization of medical data.However,some problems in the information transfer process between wireless medical devices and mobile medical apps,such as information leakage and privacy disclosure.This paper first designs a cross-device key agreement model for blockchain-enabled IoMT.This model can establish a key agreement mechanism for secure medical data sharing.Meanwhile,a certificateless authenticated key agreement(KA)protocol has been proposed to strengthen the information transfer security in the cross-device key agreement model.The proposed KA protocol only requires one exchange of messages between the two parties,which can improve the protocol execution efficiency.Then,any unauthorized tampering of the transmitted signed message sent by the sender can be detected by the receiver,so this can guarantee the success of the establishment of a session key between the strange entities.The blockchain ledger can ensure that the medical data cannot be tampered with,and the certificateless mechanism can weaken the key escrow problem.Moreover,the security proof and performance analysis are given,which show that the proposed model and KA protocol are more secure and efficient than other schemes in similar literature. | Chaoyang Li Yanbu Guo Mianxiong Dong Gang Xu Xiu-Bo Chen Jian Li Kaoru Ota | 2023 | Computers, Materials & Continua2023，，4： | 0 |
| 3 | Deep Contextual Representation Learning for Identifying Essential Proteins via Integrating Multisource Protein Features显示文摘Essential proteins with biological functions are necessary for the survival of organisms.Computational recognition methods of essential proteins can reduce the workload and provide candidate proteins for biologists.However,existing methods fail to efficiently identify essential proteins,and generally do not fully use amino acid sequence information to improve the performance of essential protein recognition.In this work,we propose an end-to-end deep contextual representation learning framework called DeepIEP to automatically learn biological discriminative features without prior knowledge based on protein network heterogeneous information.Specifically,the model attaches amino acid sequences as the attributes of each protein node in the protein interaction network,and then automatically learns topological features from protein interaction networks by graph embedding algorithms.Next,multi-scale convolutions and gated recurrent unit networks are used to extract contextual features from gene expression profiles.The extensive experiments confirm that our DeepIEP is an effective and efficient feature learning framework for identifying essential proteins and contextual features of protein sequences can improve the recognition performance of essential proteins. | LI Weihua LIU Wenyang GUO Yanbu WANG Bingyi QING Hua | 2023 | Chinese Journal of Electronics2023，32，4： | 0 |
| 4 | Efficient Group Blind Signature for Medical Data Anonymous Authentication in Blockchain-Enabled IoMT显示文摘Blockchain technology promotes the development of the Internet of medical things(IoMT)from the centralized form to distributed trust mode as blockchain-based Internet of medical things(BIoMT).Although blockchain improves the cross-institution data sharing ability,there still exist the problems of authentication difficulty and privacy leakage.This paper first describes the architecture of the BIoMT system and designs an anonymous authentication model for medical data sharing.This BIoMT system is divided into four layers:perceptual,network,platform,and application.The model integrates an anonymous authentication scheme to guarantee secure data sharing in the network ledger.Utilizing the untampered blockchain ledger can protect the privacy of medical data and system users.Then,an anonymous authentication scheme called the group blind signature(GBS)scheme is designed.This scheme can provide anonymity for the signer as that one member can represent the group to sign without exposing his identity.The blind property also can protect the message from being signed as it is anonymous to the signer.More-over,this GBS scheme is created with the lattice assumption,which makes it more secure against quantum attacks.In addition,the security proof shows that this GBS scheme can achieve the security properties of dynamical-almost-full anonymity,blindness,traceability,and non-frameability.The comparison analysis and performance evaluation of key size show that this GBS scheme is more efficient than similar schemes in other literature. | Chaoyang Li Bohao Jiang Yanbu Guo Xiangjun Xin | 2023 | Computers, Materials & Continua2023，，7： | 0 |
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