A5088854393- Caching and Content Delivery
- Cooperative Communication and Network Coding
- vaccines and immunoinformatics approaches
- Immunotherapy and Immune Responses
- Protease and Inhibitor Mechanisms
- Opportunistic and Delay-Tolerant Networks
- Computational Drug Discovery Methods
- Blood Coagulation and Thrombosis Mechanisms
- Cancer-related molecular mechanisms research
- Virus-based gene therapy research
- Mobile Ad Hoc Networks
- Molecular Biology Techniques and Applications
- Chaos-based Image/Signal Encryption
- Advanced Data Storage Technologies
- Chaos control and synchronization
- Coding theory and cryptography
- Medical Research and Treatments
- MicroRNA in disease regulation
- Platelet Disorders and Treatments
- COVID-19 diagnosis using AI
- Advanced Steganography and Watermarking Techniques
- Bioinformatics and Genomic Networks
- Advanced Wireless Communication Technologies
- Machine Learning in Bioinformatics
- Educational Robotics and Engineering
Guizhou Normal University
2025
University of Oklahoma
2025
Sichuan University
2020-2024
Second Hospital of Shandong University
2024
China Agricultural University
2024
Beijing University of Technology
2011-2024
Northwestern Polytechnical University
2021
Peking University Shenzhen Hospital
2021
IBM Research (China)
2020
Chinese University of Hong Kong
2020
Protein-ligand blind docking is a powerful method for exploring the binding sites of receptors and corresponding poses ligands. It has seen wide applications in pharmaceutical biological researches. Previously, we proposed server, CB-Dock, which been under heavy use (over 200 submissions per day) by researchers worldwide since 2019. Here, substantially improved combining CB-Dock with our template-based engine to enhance accuracy site identification pose prediction. In benchmark tests, it...
Abstract Protein–ligand docking is an essential method in computer-aided drug design and structural bioinformatics. It can be used to identify active compounds reveal molecular mechanisms of biological processes. A successful usually requires thorough conformation sampling scoring, which are computationally expensive difficult. Recent studies demonstrated that it beneficial with the guidance existing similar co-crystal structures. In this work, we developed a protein–ligand method, named...
Abstract Peptide binding to major histocompatibility complex (MHC) proteins plays a critical role in T-cell recognition and the specificity of immune response. Experimental validation such peptides is extremely resource-intensive. As result, accurate computational prediction highly important, particularly context cancer immunotherapy applications, as identification neoantigens. In recent years, there significant need continually improve existing methods meet demands this field. We developed...
Abstract Motivation The identification of binding hotspots in protein–RNA interactions is crucial for understanding their potential recognition mechanisms and drug design. experimental methods have many limitations, since they are usually time-consuming labor-intensive. Thus, developing an effective efficient theoretical method urgently needed. Results Here, we present SREPRHot, a to predict hotspots, defined as the residues whose mutation alanine generate free energy change ≥2.0 kcal/mol,...
Identifying the types of body fluids left at crime scene can be essential to reconstructing and inferring criminal behavior. MicroRNA (miRNA) molecule extracted from trace is one most promising biomarkers for identification due its high expression, extreme stability tissue specificity. However, detection miRNA markers not answer a yes-no question but probability an assumption. Therefore, it crucial task develop complicated methods combining multi-miRNAs as well computational algorithms...
Latent Semantic Indexing is a widely used text mining technology nowadays due its effectiveness in dealing with the problems of synonymy and polysemy within proper matrix scale. However LSI enormously computationally intensive especially for processing large scale data. And effective solution to increase computational power available using multiple computing nodes. In this paper we propose novel MapReduce based distributed Hadoop architecture implement K-means algorithm cluster documents...
Abstract Fifth‐generation (5G) networks expect to see explosive growth of mobile data. In this context, 5G information‐centric networking (5G‐ICN) architecture is proposed provide native support for trend. However, because the huge amount energy consumed by high‐density data and extremely dynamic network topology in networks, current content caching strategies (CCSs) ICN are not appropriate 5G‐ICN architecture. paper, through balancing trade‐off between consumption transport consumption, an...
We recently demonstrated that the substitution of autolysis loop (residues 143 to 154 in chymotrypsin numbering system) activated protein C (APC) with corresponding factor Xa (fXa) renders APC mutant (APC/fX143-154) susceptible inhibition by antithrombin (AT) presence pentasaccharide. Our recent results further indicated, addition an improvement reactivity APC/fX143-154 AT, both amidolytic and anti-factor Va activities have also been significantly increased. Since is five residues longer...
Recognizing the diversity of big data analytic jobs, cloud providers offer a wide range virtual machine (VM) instances or even clusters to cater for different use cases. The choice configurations can have significant impact on response time and running cost data-intensive, production batch-jobs, which need be re-run regularly using cloud-scale resources. However, identifying best configuration with low search is quite challenging due i) large high-dimensional configuration-parameters space,...
Abstract Background : Post-traumatic stress disorder (PTSD) is a complicated psychiatric after experiencing trauma that affects people’s natural lives. As such, the objective of study was mining related pathways and key genes PTSD validated through vitro experiments. Method Retrieving RNA sequencing (RNA-seq) datasets from Gene Expression Omnibus (GEO) database. The differentially expressed (DEGs) were screened using GEO2R. KEGG pathway assessment carried out for enrichment analysis. plugin...
Abstract Background To assess the immunogenicity of current primary polio vaccination schedule in China and compare it with alternative schedules using Sabin or Salk-strain IPV (sIPV, wIPV). Methods A cross-sectional investigation was conducted at four sites Chongqing, China, healthy infants aged 60–89 days were conveniently recruited divided into groups according to their received (2sIPV + bOPV, 2wIPV 3sIPV, 3wIPV). The sero-protection neutralizing antibody titers against poliovirus...
The main purpose of content distribution network is to redirect Internet users the servers nearest them, known as edge cache server. Thus, their desired contents can be obtained more rapidly and steadily. With optimized QoS (Quality Service) Internet, user experience improved a certain extent. Generally speaking, when it comes network, CDN first mentioned, not P2P (Peer Peer), but fact that has become an important part network. In this paper, we discuss from respective architecture, specific...
Mobile edge caching can deliver contents directly without the backhaul link, which effectively solve problem of spectrum scarcity caused by huge mobile data traffic. The cooperative cache strategy is able to make full use user equipments with limited capacity improve network hit rate and diversity. First, this paper proposes a clustering algorithm based on content providers, different from existing algorithms. in cluster formed collectively used provide higher probability We further consider...