Publications by authors named "Qichao Luo"

Identifying the active natural compounds remains a challenge for drug discovery, and new algorithms need to be developed to predict active ingredients from complex natural products. Here, we proposed Meta-DEP, a Meta-paths-based Drug Efficacy Prediction based on drug-protein-disease heterogeneity network, where Meta-paths contain all the shortest paths between drug targets and disease-related proteins in the network and drug efficacy is measured by a predictive score according to drug disease network proximity. Experiments show that Meta-DEP performs better than traditional network topology analysis on drug-disease interaction prediction task.

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Since synovial hypoxic microenvironment significantly promotes the pathological progress of rheumatoid arthritis (RA), hypoxia-inducible factor 1 (HIF-1) has been emerged as a promising target for the development of novel therapeutic agents for RA treatment. In this study, we designed and synthesized a series of diaryl substituted isoquinolin-1(2H)-one derivatives as HIF-1 signaling inhibitors using scaffold-hopping strategy. By modifying the substituents on N-atom and 6-position of isoquinolin-1-one, we discovered compound 17q with the most potent activities against HIF-1 (IC = 0.

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Obesity is a metabolic disorder characterized by the hypertrophy expansion of adipose tissue, resulting in dysregulated energy metabolism, and accompanied by chronic low-grade inflammation. Adipose tissue macrophages (ATMs), a principal component of inflammation, respond to microenvironment signals and modulate adipose tissue remodeling and metabolic processes situation-specific. However, the mechanisms governing how the organism maintains equilibrium between its chronic inflammation and metabolism still need to be understood.

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Article Synopsis
  • - Accurate prediction of protein-ligand binding affinity is essential for drug design, but current methods fail to consider crucial edge information and have limitations in capturing binding interactions due to small datasets.
  • - The new method, SEGSA_DTA, utilizes SuperEdge Graph convolution and a multi-supervised attention module to enhance the prediction accuracy by effectively incorporating both node and edge data.
  • - SEGSA_DTA demonstrates better performance than existing techniques and is also applied to find potential COVID-19 treatments from FDA-approved drugs, while providing interpretable results through SHAP analysis for better lead optimization.
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Article Synopsis
  • Xin-Ji-Er-Kang (XJEK), a traditional Chinese medicine, shows protective effects against heart diseases, particularly in myocardial ischemia-reperfusion (MIR) injury, but its specific components and mechanisms remain unclear.
  • A study analyzed key compounds in XJEK and their effects on MIR injury using high-resolution mass spectrometry and bioinformatics, along with testing in mice over six weeks, focusing on cardiac function and apoptosis levels.
  • Results indicated that matrine, found in Sophora flavescens alkaloids, is the main active ingredient in XJEK, which enhances heart function and reduces cell death by activating the JAK2/STAT3 signaling pathway.
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Background: Drug-drug interaction (DDI) is a serious public health issue. The L1000 database of the LINCS project has collected millions of genome-wide expressions induced by 20,000 small molecular compounds on 72 cell lines. Whether this unified and comprehensive transcriptome data resource can be used to build a better DDI prediction model is still unclear.

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Modulators can be designed to stabilize the inactive and active states of ion channels, but whether intermediate (IM) states of channel gating are druggable remains underexplored. In this study, using molecular dynamics simulations of the TWIK-related potassium channel 1 (TREK-1) channel, a two-pore domain potassium channel, we captured an IM state during the transition from the down (inactive) state to the up (active-like) state. The IM state contained a druggable allosteric pocket that was not present in the down or up state.

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Methicillin-resistant Staphylococcus aureus (MRSA) is one of the most versatile human pathogens. Luteolin (LUT) has anti-MRSA activity by disrupting the MRSA cytoplasmic membrane. However, the mechanism by which luteolin disrupts the membrane remains unclear.

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Two-pore domain potassium (K2P) channels generate leak currents that are responsible for the maintenance of the resting membrane potential, and they are thus potential drug targets for treating diseases. Here, we identify N-(4-cholorphenyl)-N-(2-(3,4-dihydrosioquinolin-2(1H)-yl)-2-oxoethyl)methanesulfonamide (TKDC) as an inhibitor of the TREK subfamily, including TREK-1, TREK-2 and TRAAK channels. Using TKDC as a chemical probe, a study combining computations, mutagenesis and electrophysiology reveals a K2P allosteric ligand-binding site located in the extracellular cap of the channels.

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Farnesyl (Far) and palmitoyl (Pal) anchors play important roles in the traffic of many lipidated proteins. Herein, we show the distinctive interactions and influences of the two lipid modifications on lipid rafts (LRs) and non-raft-like membranes using molecular dynamics simulations. Palmitoyl anchors behave in a more ordered fashion, pack tighter with the lipids of LRs and diffuse at a slower rate than farnesyl anchors in LRs.

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The DNA sequence containing four contiguous GG runs (G2NxG2NyG2NzG2, G2 sequence) has the potential to form a two-quartet G-quadruplex. However, the prevalence, structure, and function of G2 sequences have not been well-studied. Here, bioinformatics analysis reveals the abundance of G2 sequences in the human genome and their enrichment in promoter regions.

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