LIVIVO - Search results -

Search results

Result 1 - 10 of total 73

Search options

Article ; Online: Ynamide Coupling Reagent for the Chemical Cross-Linking of Proteins in Live Cells.

Li, Shengrong / Zhu, Chengjun / Zhao, Qian / Zhang, Zhi-Min / Sun, Pinghua / Li, Zhengqiu

ACS chemical biology

2023 Volume 18, Issue 6, Page(s) 1405–1415

Abstract: Chemical cross-linking of proteins coupled with mass spectrometry analysis (CXMS) is a powerful method for the study of protein structure and protein-protein interactions (PPIs). However, the chemical probes used in the CXMS are limited to bidentate ... ...

Abstract	Chemical cross-linking of proteins coupled with mass spectrometry analysis (CXMS) is a powerful method for the study of protein structure and protein-protein interactions (PPIs). However, the chemical probes used in the CXMS are limited to bidentate reactive warheads, and the available zero-length cross-linkers are restricted to 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride/
MeSH term(s)	Indicators and Reagents ; Cross-Linking Reagents/chemistry ; Proteins/chemistry ; Lysine/chemistry ; Mass Spectrometry/methods
Chemical Substances	Indicators and Reagents ; Cross-Linking Reagents ; Proteins ; Lysine (K3Z4F929H6)
Language	English
Publishing date	2023-05-25
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1554-8937
ISSN (online)	1554-8937
DOI	10.1021/acschembio.3c00149
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Novel Covalent Probe Selectively Targeting Glutathione Peroxidase 4 In Vivo: Potential Applications in Pancreatic Cancer Therapy.

Tang, Zifeng / Li, Jie / Peng, Lijie / Xu, Fang / Tan, Yi / He, Xiaoqiang / Zhu, Chengjun / Zhang, Zhi-Min / Zhang, Zhang / Sun, Pinghua / Ding, Ke / Li, Zhengqiu

Journal of medicinal chemistry

2024 Volume 67, Issue 3, Page(s) 1872–1887

Abstract: Glutathione peroxidase 4 (GPX4) emerges as a promising target for the treatment of therapy-resistant cancer through ferroptosis. Thus, there is a broad interest in the development of GPX4 inhibitors. However, a majority of reported GPX4 inhibitors ... ...

Abstract	Glutathione peroxidase 4 (GPX4) emerges as a promising target for the treatment of therapy-resistant cancer through ferroptosis. Thus, there is a broad interest in the development of GPX4 inhibitors. However, a majority of reported GPX4 inhibitors utilize chloroacetamide as a reactive electrophilic warhead, and the selectivity and pharmacokinetic properties still need to be improved. Herein, we developed a compound library based on a novel electrophilic warhead, the sulfonyl ynamide, and executed phenotypic screening against pancreatic cancer cell lines. Notably, one compound
MeSH term(s)	Humans ; Aniline Compounds ; Cell Line ; Pancreatic Neoplasms/drug therapy ; Phospholipid Hydroperoxide Glutathione Peroxidase/antagonists & inhibitors ; Phospholipid Hydroperoxide Glutathione Peroxidase/metabolism ; Thiophenes
Chemical Substances	Aniline Compounds ; ML-162 ; Phospholipid Hydroperoxide Glutathione Peroxidase (EC 1.11.1.12) ; Thiophenes ; GPX4 protein, human (EC 1.11.1.12) ; (4-(bis(4-chlorophenyl)methyl)-1-piperazinyl)(5-methyl-4-nitro-1,2-oxazol-3-yl)methanone
Language	English
Publishing date	2024-01-24
Publishing country	United States
Document type	Journal Article
ZDB-ID	218133-2
ISSN	1520-4804 ; 0022-2623
ISSN (online)	1520-4804
ISSN	0022-2623
DOI	10.1021/acs.jmedchem.3c01608
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.B 151: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG)
Zs.MB 1: Show issues

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: A Web Shell Detection Method Based on Multiview Feature Fusion

Tiantian Zhu / Zhengqiu Weng / Lei Fu / Linqi Ruan

Applied Sciences, Vol 10, Iss 6274, p

2020 Volume 6274

Abstract: Web shell is a malicious script file that can harm web servers. Web shell is often used by intruders to perform a series of malicious operations on website servers, such as privilege escalation and sensitive information leakage. Existing web shell ... ...

Abstract	Web shell is a malicious script file that can harm web servers. Web shell is often used by intruders to perform a series of malicious operations on website servers, such as privilege escalation and sensitive information leakage. Existing web shell detection methods have some shortcomings, such as viewing a single network traffic behavior, using simple signature comparisons, and adopting easily bypassed regex matches. In view of the above deficiencies, a web shell detection method based on multiview feature fusion is proposed based on the PHP language web shell. Firstly, lexical features, syntactic features, and abstract features that can effectively represent the internal meaning of web shells from multiple levels are integrated and extracted. Secondly, the Fisher score is utilized to rank and filter the most representative features, according to the importance of each feature. Finally, an optimized support vector machine (SVM) is used to establish a model that can effectively distinguish between web shell and normal script. In large-scale experiments, the final classification accuracy of the model on 1056 web shells and 1056 benign web scripts reached 92.18%. The results also surpassed well-known web shell detection tools such as VirusTotal, ClamAV, LOKI, and CloudWalker, as well as the state-of-the-art web shell detectionmethods.
Keywords	web shell detection ; multiview feature fusion ; feature selection ; large-scale experiments ; machine learning ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	302
Language	English
Publishing date	2020-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Book ; Online: Autonomous Crowdsensing

Wu, Wansen / Yang, Weiyi / Li, Juanjuan / Zhao, Yong / Zhu, Zhengqiu / Chen, Bin / Qiu, Sihang / Peng, Yong / Wang, Fei-Yue

Operating and Organizing Crowdsensing for Sensing Automation

2024

Abstract: The precise characterization and modeling of Cyber-Physical-Social Systems (CPSS) requires more comprehensive and accurate data, which imposes heightened demands on intelligent sensing capabilities. To address this issue, Crowdsensing Intelligence (CSI) ... ...

Abstract	The precise characterization and modeling of Cyber-Physical-Social Systems (CPSS) requires more comprehensive and accurate data, which imposes heightened demands on intelligent sensing capabilities. To address this issue, Crowdsensing Intelligence (CSI) has been proposed to collect data from CPSS by harnessing the collective intelligence of a diverse workforce. Our first and second Distributed/Decentralized Hybrid Workshop on Crowdsensing Intelligence (DHW-CSI) have focused on principles and high-level processes of organizing and operating CSI, as well as the participants, methods, and stages involved in CSI. This letter reports the outcomes of the latest DHW-CSI, focusing on Autonomous Crowdsensing (ACS) enabled by a range of technologies such as decentralized autonomous organizations and operations, large language models, and human-oriented operating systems. Specifically, we explain what ACS is and explore its distinctive features in comparison to traditional crowdsensing. Moreover, we present the ``6A-goal" of ACS and propose potential avenues for future research.
Keywords	Computer Science - Computers and Society
Publishing date	2024-01-06
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: A Hybrid Deep Learning System for Real-World Mobile User Authentication Using Motion Sensors.

Zhu, Tiantian / Weng, Zhengqiu / Chen, Guolang / Fu, Lei

Sensors (Basel, Switzerland)

2020 Volume 20, Issue 14

Abstract: With the popularity of smartphones and the development of hardware, mobile devices are widely used by people. To ensure availability and security, how to protect private data in mobile devices without disturbing users has become a key issue. Mobile user ... ...

Abstract	With the popularity of smartphones and the development of hardware, mobile devices are widely used by people. To ensure availability and security, how to protect private data in mobile devices without disturbing users has become a key issue. Mobile user authentication methods based on motion sensors have been proposed by many works, but the existing methods have a series of problems such as poor de-noising ability, insufficient availability, and low coverage of feature extraction. Based on the shortcomings of existing methods, this paper proposes a hybrid deep learning system for complex real-world mobile authentication. The system includes: (1) a variational mode decomposition (VMD) based de-noising method to enhance the singular value of sensors, such as discontinuities and mutations, and increase the extraction range of the feature; (2) semi-supervised collaborative training (Tri-Training) methods to effectively deal with mislabeling problems in complex real-world situations; and (3) a combined convolutional neural network (CNN) and support vector machine (SVM) model for effective hybrid feature extraction and training. The training results under large-scale, real-world data show that the proposed system can achieve 95.01% authentication accuracy, and the effect is better than the existing frontier methods.
Language	English
Publishing date	2020-07-11
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s20143876
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: Evaluating the mitigation strategies of COVID-19 by the application of the CO2 emission data through high-resolution agent-based computational experiments

Chen, Hailiang / Zhu, Zhengqiu / Ai, Chuan / Zhao, Yong / He, Cheng / He, Ming / Chen, Bin

Environmental research. 2022 Mar., v. 204

2022

Abstract: The negative consequences, such as healthy and environmental issues, brought by rapid urbanization and interactive human activities result in increasing social uncertainties, unreliable predictions, and poor management decisions. For instance, the ... ...

Abstract	The negative consequences, such as healthy and environmental issues, brought by rapid urbanization and interactive human activities result in increasing social uncertainties, unreliable predictions, and poor management decisions. For instance, the Coronavirus Disease (COVID-19) occurred in 2019 has been plaguing many countries. Aiming at controlling the spread of COVID-19, countries around the world have adopted various mitigation and suppression strategies. However, how to comprehensively eva luate different mitigation strategies remains unexplored. To this end, based on the Artificial societies, Computational experiments, Parallel execution (ACP) approach, we proposed a system model, which clarifies the process to collect the necessary data and conduct large-scale computational experiments to evaluate the effectiveness of different mitigation strategies. Specifically, we established an artificial society of Wuhan city through geo-environment modeling, population modeling, contact behavior modeling, disease spread modeling and mitigation strategy modeling. Moreover, we established an evaluation model in terms of the control effects and economic costs of the mitigation strategy. With respect to the control effects, it is directly reflected by indicators such as the cumulative number of diseases and deaths, while the relationship between mitigation strategies and economic costs is built based on the CO2 emission. Finally, large-scale simulation experiments are conducted to evaluate the mitigation strategies of six countries. The results reveal that the more strict mitigation strategies achieve better control effects and less economic costs.
Keywords	COVID-19 infection ; Orthocoronavirinae ; humans ; models ; research ; society ; urbanization
Language	English
Dates of publication	2022-03
Publishing place	Elsevier Inc.
Document type	Article
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2021.112077
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Cologne/Königswinter

Zs.A 726: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Targeting EGFR degradation by autophagosome degraders.

Zhu, ZhongFeng / Li, Jiaying / Shen, Shujun / Al-Furas, Hawaa / Li, Shengrong / Tong, Yichen / Li, Yi / Zeng, Yucheng / Feng, Qianyi / Chen, Kaiyue / Ma, Nan / Zhou, Fengtao / Zhang, Zhang / Li, Zhengqiu / Pang, Jiyan / Ding, Ke / Xu, Fang

European journal of medicinal chemistry

2024 Volume 270, Page(s) 116345

Abstract: Several generations of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors have been developed for the treatment of non-small cell lung cancer (NSCLC) in clinic. However, emerging drug resistance mediated by new EGFR mutations or ... ...

Abstract	Several generations of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors have been developed for the treatment of non-small cell lung cancer (NSCLC) in clinic. However, emerging drug resistance mediated by new EGFR mutations or activations by pass, leads to malignant progression of NSCLC. Proteolysis targeting chimeras (PROTACs) have been utilized to overcome the drug resistance acquired by mutant EGFR, newly potent and selective degraders are still need to be developed for clinical applications. Herein, we developed autophagosome-tethering compounds (ATTECs) in which EGFR can be anchored to microtubule-associated protein-1 light chain-3B (LC3B) on the autophagosome with the assistance of the LC3 ligand GW5074. A series of EGFR-ATTECs have been designed and synthesized. Biological evaluations showed that these compounds could degrade EGFR and exhibited moderate inhibitory effects on certain NSCLC cell lines. The ATTEC 12c potently induced the degradation of EGFR with a DC
MeSH term(s)	Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy ; Carcinoma, Non-Small-Cell Lung/pathology ; Lung Neoplasms/pathology ; Cell Proliferation ; Autophagosomes/metabolism ; Protein Kinase Inhibitors/pharmacology ; Protein Kinase Inhibitors/therapeutic use ; Cell Line, Tumor ; ErbB Receptors ; Mutation ; Drug Resistance, Neoplasm
Chemical Substances	Protein Kinase Inhibitors ; ErbB Receptors (EC 2.7.10.1) ; EGFR protein, human (EC 2.7.10.1)
Language	English
Publishing date	2024-03-26
Publishing country	France
Document type	Journal Article
ZDB-ID	188597-2
ISSN	1768-3254 ; 0009-4374 ; 0223-5234
ISSN (online)	1768-3254
ISSN	0009-4374 ; 0223-5234
DOI	10.1016/j.ejmech.2024.116345
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.B 784: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Toward parallel intelligence: An interdisciplinary solution for complex systems.

Zhao, Yong / Zhu, Zhengqiu / Chen, Bin / Qiu, Sihang / Huang, Jincai / Lu, Xin / Yang, Weiyi / Ai, Chuan / Huang, Kuihua / He, Cheng / Jin, Yucheng / Liu, Zhong / Wang, Fei-Yue

Innovation (Cambridge (Mass.))

2023 Volume 4, Issue 6, Page(s) 100521

Abstract: The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling, analysis, management, and control. To meet these demands, the parallel systems method rooted in the artificial systems, ... ...

Abstract	The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling, analysis, management, and control. To meet these demands, the parallel systems method rooted in the artificial systems, computational experiments, and parallel execution (ACP) approach has been developed. The method cultivates a cycle termed parallel intelligence, which iteratively creates data, acquires knowledge, and refines the actual system. Over the past two decades, the parallel systems method has continuously woven advanced knowledge and technologies from various disciplines, offering versatile interdisciplinary solutions for complex systems across diverse fields. This review explores the origins and fundamental concepts of the parallel systems method, showcasing its accomplishments as a diverse array of parallel technologies and applications while also prognosticating potential challenges. We posit that this method will considerably augment sustainable development while enhancing interdisciplinary communication and cooperation.
Language	English
Publishing date	2023-10-05
Publishing country	United States
Document type	Journal Article ; Review
ISSN	2666-6758
ISSN (online)	2666-6758
DOI	10.1016/j.xinn.2023.100521
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: A Payload Based Malicious HTTP Traffic Detection Method Using Transfer Semi-Supervised Learning

Tieming Chen / Yunpeng Chen / Mingqi Lv / Gongxun He / Tiantian Zhu / Ting Wang / Zhengqiu Weng

Applied Sciences, Vol 11, Iss 7188, p

2021 Volume 7188

Abstract: Malicious HTTP traffic detection plays an important role in web application security. Most existing work applies machine learning and deep learning techniques to build the malicious HTTP traffic detection model. However, they still suffer from the ... ...

Abstract	Malicious HTTP traffic detection plays an important role in web application security. Most existing work applies machine learning and deep learning techniques to build the malicious HTTP traffic detection model. However, they still suffer from the problems of huge training data collection cost and low cross-dataset generalization ability. Aiming at these problems, this paper proposes DeepPTSD, a deep learning method for payload based malicious HTTP traffic detection. First, it treats the malicious HTTP traffic detection as a text classification problem and trains the initial detection model using TextCNN on a public dataset, and then adapts the initial detection model to the target dataset based on a transfer learning algorithm. Second, in the transfer learning procedure, it uses a semi-supervised learning algorithm to accomplish the model adaptation task. The semi-supervised learning algorithm enhances the target dataset based on a HTTP payload data augmentation mechanism to exploit both the labeled and unlabeled data. We evaluate DeepPTSD on two real HTTP traffic datasets. The results show that DeepPTSD has competitive performance under the small data condition.
Keywords	malicious traffic detection ; HTTP payload ; Data augmentation ; Transfer learning ; semi-supervised learning ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	006
Language	English
Publishing date	2021-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Toward parallel intelligence

Yong Zhao / Zhengqiu Zhu / Bin Chen / Sihang Qiu / Jincai Huang / Xin Lu / Weiyi Yang / Chuan Ai / Kuihua Huang / Cheng He / Yucheng Jin / Zhong Liu / Fei-Yue Wang

The Innovation, Vol 4, Iss 6, Pp 100521- (2023)

An interdisciplinary solution for complex systems

2023

Abstract	The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling, analysis, management, and control. To meet these demands, the parallel systems method rooted in the artificial systems, computational experiments, and parallel execution (ACP) approach has been developed. The method cultivates a cycle termed parallel intelligence, which iteratively creates data, acquires knowledge, and refines the actual system. Over the past two decades, the parallel systems method has continuously woven advanced knowledge and technologies from various disciplines, offering versatile interdisciplinary solutions for complex systems across diverse fields. This review explores the origins and fundamental concepts of the parallel systems method, showcasing its accomplishments as a diverse array of parallel technologies and applications while also prognosticating potential challenges. We posit that this method will considerably augment sustainable development while enhancing interdisciplinary communication and cooperation.
Keywords	Science (General) ; Q1-390
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED