Kaili Wang

ORCID: 0009-0004-1664-5943
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Research Areas
  • Cancer-related molecular mechanisms research
  • Computational Drug Discovery Methods
  • Protein Structure and Dynamics
  • RNA and protein synthesis mechanisms
  • RNA Research and Splicing
  • Animal Virus Infections Studies
  • RNA modifications and cancer
  • Plant-Microbe Interactions and Immunity
  • Circular RNAs in diseases
  • Genomics and Phylogenetic Studies
  • Genomics and Chromatin Dynamics
  • Machine Learning in Materials Science
  • Viral gastroenteritis research and epidemiology
  • Enzyme Production and Characterization
  • Cooperative Communication and Network Coding
  • MicroRNA in disease regulation
  • Postharvest Quality and Shelf Life Management
  • DNA Repair Mechanisms
  • Studies on Chitinases and Chitosanases
  • Complement system in diseases
  • Plant Virus Research Studies
  • Infant Nutrition and Health
  • Plant Gene Expression Analysis
  • Protein Degradation and Inhibitors
  • Gut microbiota and health

Central South University
2022-2025

Northeast Agricultural University
2022-2025

Shandong Provincial QianFoShan Hospital
2023-2025

Shandong First Medical University
2023-2025

Beijing University of Posts and Telecommunications
2016-2025

Beijing YouAn Hospital
2024

Capital Medical University
2024

Jiangsu University
2019-2024

Tsinghua University
2019-2024

Beijing Chao-Yang Hospital
2024

Abstract Biomolecular recognition between ligand and protein plays an essential role in drug discovery development. However, it is extremely time resource consuming to determine the protein–ligand binding affinity by experiments. At present, many computational methods have been proposed predict affinity, most of which usually require 3D structures that are not often available. Therefore, new can fully take advantage sequence-level features greatly needed accelerate process. We developed a...

10.1093/bib/bbab072 article EN Briefings in Bioinformatics 2021-02-23

To investigate the prevalence and associated factors of poor sleep quality among community-dwelling elderly population in a rural area Northern China.We conducted cross-sectional survey August-December 2014 recruited 2195 participants who were aged 65 years or older living Yanlou Town Yanggu County western Shandong Province, China. Data on demographics, health-related behaviors, clinical conditions collected through structured interviews. The Pittsburgh Sleep Quality Index (PSQI) was used to...

10.1007/s40520-019-01171-0 article EN cc-by Aging Clinical and Experimental Research 2019-03-27

Abstract As a new class of non-coding RNA, circular RNAs (circRNAs) play crucial roles in the development and progression various cancers. However, detailed functions circRNAs cervical cancer have seldom been reported. In this study, circRNA sequence was applied to detect differentially expressed between tissues adjacent normal tissues. The relationships circCLK3 level with clinicopathological characteristics prognosis were analyzed. vitro CCK-8, cell count, colony, wound healing, transwell...

10.1038/s41419-019-2183-z article EN cc-by Cell Death and Disease 2019-12-12

Abstract Motivation Computational approaches for identifying the protein–ligand binding affinity can greatly facilitate drug discovery and development. At present, many deep learning-based models are proposed to predict achieve significant performance improvement. However, prediction still has fundamental challenges. One challenge is that mutual information between proteins ligands hard capture. Another how find highlight important atoms of residues proteins. Results To solve these...

10.1093/bioinformatics/btad340 article EN cc-by Bioinformatics 2023-05-24

Drug repositioning greatly reduces drug development costs and time by discovering new indications for existing drugs. With the of technology large-scale biological databases, computational has increasingly attracted remarkable attention, which can narrow down candidates. Recently, graph neural networks (GNNs) have been widely used achieved promising results in repositioning. However, GNNs based methods usually focus on modeling complex drug-disease association graph, but ignore semantic...

10.1109/jbhi.2024.3372527 article EN IEEE Journal of Biomedical and Health Informatics 2024-01-01

Background: Over 50% of lung adenocarcinoma patients have high levels complement factor H (CFH) expression. Previous studies reported that CFH inhibits the migration endothelial cells. In this study, we investigated mechanism by which affects development via phosphorylation STAT3. Methods: Adenovirus expressing mice Cfh gene was used to infect C57 for two weeks, and then Lewis Lung Carcinoma (LLC) injected develop a subcutaneous tumor. The effect on human A549 cells also detected. Moreover,...

10.2174/0115680096339892241202092052 article EN Current Cancer Drug Targets 2025-01-02

Accurate and robust prediction of drug-target interactions (DTIs) plays a vital role in drug discovery but remains challenging due to limited labeled data, cold start problems, insufficient understanding mechanisms action (MoA). Distinguishing activation inhibition is particularly critical clinical applications. Here, we propose DTIAM, unified framework for predicting interactions, binding affinities, activation/inhibition between drugs targets. DTIAM learns target representations from large...

10.1038/s41467-025-57828-0 article EN cc-by-nc-nd Nature Communications 2025-03-15

Oridonin (Ori) is a natural tetracyclic diterpenoid active compound with excellent antitumor activity, but the mechanism of Ori on esophageal cancer cell, TE1, remains unclear. In this study, we examined levels intracellular iron, malondialdehyde, and reactive oxygen species after treatment, while interfering effects ferroptosis inhibitor, demonstrating that Ori's inhibition TE1 cell proliferation associated ferroptosis. To understand molecular Ori, performed UPLC–MS/MS metabolomics...

10.1002/ptr.6829 article EN Phytotherapy Research 2020-08-31

Non-coding RNA molecules play essential roles by interacting with other to perform various biological functions. However, it is difficult determine structures due their flexibility. At present, the number of experimentally solved RNA-ligand and RNA-protein still insufficient. Therefore, binding sites prediction non-coding required understand functions.Current site algorithms produce many false positive nucleotides that are distance away from sites. Here, we present a network approach, RBind,...

10.1093/bioinformatics/bty345 article EN Bioinformatics 2018-04-24

Abstract Identification of RNA–small molecule binding sites plays an essential role in RNA-targeted drug discovery and development. These small molecules are expected to be leading compounds guide the development new types therapeutics compared with regular targeting proteins. RNAs can provide many potential targets diverse structures functions. However, up now, only a few methods have been proposed. Predicting still remains big challenge. New computational model is required better extract...

10.1093/bib/bbac486 article EN Briefings in Bioinformatics 2022-11-18

The gut microbiota is significant for infants to grow and develop in the early stages of life. breast milk directly or indirectly influences colonizing development infant intestinal microbiota. Therefore, we wanted study microbial diversity correlation between gut. By sequencing 16S rRNA V3-V4 regions microbiome feces 1, 14, 20, 30, 90 days after delivery as well those using Illumina NovaSeq, studied component both human stools, analyzed microbiota, explored relationship them. We found that...

10.3390/foods12091740 article EN cc-by Foods 2023-04-22

Accurately predicting drug-target binding affinity plays a vital role in accelerating drug discovery. Many computational approaches have been proposed due to costly and time-consuming of wet laboratory experiments. In the input representation, most methods only focus on target sequence properties or structure while ignore overall contribution. Therefore, we develop novel fusion protocol based multiscale convolutional neural networks graph networks, named CGraphDTA, predict using structure....

10.1109/jbhi.2023.3315073 article EN IEEE Journal of Biomedical and Health Informatics 2023-09-13

RNA-binding proteins (RBPs) play pivotal roles in directing RNA fate and function. Yet the current annotation of RBPs is largely limited to carrying known domains. To systematically reveal dynamic RNA-protein interactions, we surveyed human proteome by a protein array-based approach identified 671 with activity. Among these proteins, 525 lack annotated domains are enriched transcriptional epigenetic regulators, metabolic enzymes, small GTPases. Using an improved CLIP (crosslinking...

10.1093/nar/gkz032 article EN cc-by-nc Nucleic Acids Research 2019-01-17

Transmissible gastroenteritis (TGE) is a contagious and infectious disease that characterized by severe vomiting diarrhea of swine , especially piglet, caused transmissible coronavirus (TGEV) .TGEV infection provokes mitochondrial damage porcine intestinal epthelial cell (IPEC), which responsible for inflammation death.In our previous study, we have demonstrated circular RNA circEZH2 was down-regulated during TGEV promoted the activation nuclear factor kappa-light-chain-enhancer activated B...

10.7150/ijbs.36532 article EN cc-by-nc International Journal of Biological Sciences 2019-01-01

Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related deaths across world. Due to lack reliable markers for early HCC detection, most patients are diagnosed in middle/late stages. Liver cancer stem cells (CSCs), which drivers liver tumorigenesis, usually emerge stage and also termed as tumor initiation (TIC). CSCs contribute initiation, propagation, metastasis play a key role therapy. Taking advantage online-available data sets, bioinformatic analyses, experimental...

10.3389/fcell.2022.864051 article EN cc-by Frontiers in Cell and Developmental Biology 2022-04-04

The role of human milk exosomes (HMEs) in maintaining infant intestinal health has attracted considerable attention, yet the mechanisms by which they regulate gut microbiota remain to be elucidated. In this study, we constructed an vitro fermentation model, combined with macrogenomics and nontargeted metabolomics technologies, deeply analyze effects HMEs on composition microorganisms, expression functional genes, production metabolites. It showed that significantly reduced potential...

10.1021/acs.jafc.4c09971 article EN Journal of Agricultural and Food Chemistry 2025-04-23
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