The dried mature peel of Citrus reticulata, a plant in the Rutaceae family and its cultivated varieties, is a commonly used Chinese medicinal material known as Chenpi(Citri Reticulatae Pericarpium). It is rich in nutritional components and medicinal value, with pharmacological effects including relieving cough and eliminating phlegm, strengthening the spleen and drying dampness, protecting the liver and benefiting the stomach, tonifying Qi, and calming the mind. Huanglongbing(HLB), also known as Citrus Huanglongbing, is a destructive disease in citrus production that seriously threatens the development of the citrus industry. HLB causes symptoms such as the inability of Rutaceae plants to produce mature fruit, gradual weakening of the tree, and eventual death, posing a significant threat to the yield and quality of Chenpi. Due to the uneven distribution of the HLB pathogen in infected plants, accurate detection of the pathogen requires the collection of a large number of plant samples. Current sample pretreatment methods, such as traditional extraction methods and commercial extraction kits, are time-consuming and involve multiple steps, which significantly increase the difficulty and workload of HLB diagnosis and have become a bottleneck in HLB detection. In this study, a rapid high-throughput detection method combining alkali lysis and TaqMan qPCR was developed. This method allows the pretreatment of multiple samples within 5 min, and the entire detection process can be completed within 45 min, with a detection limit of 6.67 fg·μL~(-1). The alkali lysis method and commercial kits were used for parallel detection of field-collected citrus samples, and the results showed no significant difference. The sample pretreatment method established in this study is characterized by low cost, simplicity, and high efficiency. Combined with TaqMan qPCR, it can provide technical support for early and on-site diagnosis of HLB. This method is of great significance for disease prevention and control in the citrus industry and is expected to help improve the yield and quality of citrus medicinal materials.
Citrus/microbiology* ; Plant Diseases/microbiology* ; Rhizobiaceae/physiology* ; High-Throughput Screening Assays/methods* ; Liberibacter/physiology*

Transaminases are a class of enzymes that catalyze the transfer of amino between amino acids and keto acids, playing an important role in the biosynthesis of organic amines and the corresponding derivatives. However, natural enzymes often have low catalytic efficiency against non-natural substrates, which limits their widespread applications. Enzyme engineering serves as an effective approach to improve the catalytic properties and thereby expand the application scope of transaminases. In this study, a high-throughput screening method for transaminases was established based on the fluorescent color reaction between methoxy-2-aminobenzoxime (PMA) and ketones. According to the changes in fluorescence intensity, the concentration changes of ketones could be easily monitored. The efficiency, sensitivity, and accuracy of the screening method were improved by optimization of the system. With 4-hydroxy-2-butanone as the substrate, the mutant library of the transaminase from Actinobacteria sp. was established and a mutant with increased activity was successfully obtained, which improved the production efficiency of (R)-3-aminobutanol by enzyme-catalyzed synthesis. This study laid an important foundation for efficient screening, modification, and application of transaminase.
Transaminases/metabolism* ; Fluorescent Dyes/chemistry* ; High-Throughput Screening Assays/methods* ; Ketones/metabolism* ; Actinobacteria/enzymology*

The 5-hydroxytryptamine 2A receptor (5-HT_2AR) is one of the key targets in the development of novel antidepressants. To develop new antidepressants targeting the 5-HT_2A receptor, this study established a high-throughput screening method for drugs targeting the 5-HT_2A receptor based on the principle of detecting calcium flux signals. The immunofluorescence assay and western blotting were employed to evaluate receptor expression levels in the 5-HT_2AR-CHO cell line. The reaction system parameters, including cell seeding density, DMSO concentration, and dye incubation time, were optimized with Z'-factor and signal window values as evaluation indicators. The specificity, precision, stability, and applicability of the method were assessed. Results indicated that the 5-HT_2AR-CHO cell line stably expressed high levels of the 5-HT_2A receptor. The optimized screening method involved a reaction system with 10 000 cells/well, 0.2% DMSO, and 2 h incubation with Calcium 6 dye. The method demonstrated excellent specificity, with inter-batch precision below 10% for the detection of 5-hydroxytryptamine (5-HT) at low, medium, and high concentrations. Testing four compounds that target the 5-HT_2A receptor- agonists 2,5-dimethoxy-4-iodoamphetamine (DOI), 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT), and lysergic acid diethylamide (LSD), along with the antagonist MDL100907-yielded Z'-factors (at EC₈₀) greater than 0.85 and signal window values over 0.91. The EC₅₀ values of these compounds were in the nanomolar range, and their potency rank order aligned with previously reported data, confirming the reliability of the established method. When being applied to the detection of 38 known active compounds, the method efficiently identified 5-HT_2A receptor agonists and antagonists while showing no response to non-target compounds. In conclusion, this study successfully constructs a high-throughput screening approach for 5-HT_2A receptor-targeting drugs based on calcium flux signals. The method possesses strong specificity, high sensitivity, and robust stability, being suitable for screening antidepressants targeting the 5-HT_2A receptor.
High-Throughput Screening Assays/methods* ; Receptor, Serotonin, 5-HT2A/metabolism* ; Animals ; CHO Cells ; Cricetulus ; Calcium Signaling/drug effects* ; Antidepressive Agents/pharmacology* ; Humans ; Serotonin 5-HT2 Receptor Antagonists/pharmacology* ; Calcium/metabolism*

Ubiquitination is one of the most widely distributed, structurally diverse, and functionally important post-translational modifications for proteins in eukaryotic cells. At present, the methods for detecting ubiquitination signals mainly include immunological detection based on specific antibodies, mass spectrometry, and detection based on ubiquitin-binding domain (UBD), which together constitute a tool library for studying ubiquitination signals. Our team has previously developed a high-throughput detection technology based on an artificial tandem hybrid ubiquitin-binding domain (ThUBD), which achieves universal and highly sensitive detection of all polyubiquitin chain modification signals. This study aims to evaluate the specificity and range of ThUBD-coated multi-well plates in detecting ubiquitination signals and verify the reliability and practicality of these plates in practical applications. We then used this technology to analyze the complex and diverse ubiquitination signals in different biological samples such as cells, tissues, and urine and detect ubiquitination signals in different mass ranges. The results showed that this technology had strong universality and good specificity, and it can accurately identify ubiquitinated proteins from non-ubiquitinated proteins and achieve accurate quantification. This study provides a sensitive, specific, rapid, and efficient analytical technology for the high-throughput detection of ubiquitination signals.
Ubiquitination ; High-Throughput Screening Assays ; Protein Domains ; Signal Transduction ; Ubiquitin/chemistry*

Actinomycetes are important producers of high-value natural products, and the engineering of actinomycetes to enhance the biosynthesis of target natural products has long been a hot research topic in the scientific community. However, non-rational engineering methods suffer from low beneficial mutation rates, which limit the efficiency of mutant screening. The integration of high-throughput screening (HTS) technologies can effectively enhance the screening efficiency of elite mutants and significantly shorten the cycle of actinomycete strain engineering. This review comprehensively discusses various HTS technologies suitable for the engineering of actinomycete strains and compares them in terms of application scenarios, advantages, and disadvantages. HTS technologies include microplate-based screening, antimicrobial activity screening, antibiotic resistance screening, fluorescence-activated cell sorting (FACS), and fluorescence-activated droplet sorting (FADS). Additionally, this review summarizes the applications of these technologies in assisting actinomycete strain engineering and enhancing the yields of target compounds. The development and application of HTS technologies have not only facilitated the exploration of natural product resources in actinomycetes but also provided strong support for the rapid and efficient construction of high-performance engineered actinomycete strains.
Actinobacteria/metabolism* ; High-Throughput Screening Assays/methods* ; Genetic Engineering/methods* ; Biological Products/metabolism* ; Flow Cytometry ; Metabolic Engineering/methods*

The global COVID-19 coronavirus pandemic has infected over 109 million people, leading to over 2 million deaths up to date and still lacking of effective drugs for patient treatment. Here, we screened about 1.8 million small molecules against the main protease (M^pro) and papain like protease (PL^pro), two major proteases in severe acute respiratory syndrome-coronavirus 2 genome, and identified 1851M^pro inhibitors and 205 PL^pro inhibitors with low nmol/l activity of the best hits. Among these inhibitors, eight small molecules showed dual inhibition effects on both M^pro and PL^pro, exhibiting potential as better candidates for COVID-19 treatment. The best inhibitors of each protease were tested in antiviral assay, with over 40% of M^pro inhibitors and over 20% of PL^pro inhibitors showing high potency in viral inhibition with low cytotoxicity. The X-ray crystal structure of SARS-CoV-2 M^pro in complex with its potent inhibitor 4a was determined at 1.8 Å resolution. Together with docking assays, our results provide a comprehensive resource for future research on anti-SARS-CoV-2 drug development.
Humans ; Antiviral Agents/chemistry* ; COVID-19 ; COVID-19 Drug Treatment ; High-Throughput Screening Assays ; Molecular Docking Simulation ; Protease Inhibitors/chemistry* ; SARS-CoV-2/enzymology* ; Viral Nonstructural Proteins

Enzymes are closely associated with the onset and progression of numerous diseases, making enzymes a primary target in innovative drug development. However, the challenge remains in identifying compounds that exhibit potent inhibitory effects on the target enzymes. With the continuous expansion of the total number of natural products and increasing difficulty in isolating and enriching new compounds, traditional high-throughput screening methods are finding it increasingly challenging to meet the demands of new drug development. Virtual screening, characterized by its high efficiency and low cost, has gradually become an indispensable technology in drug development. It represents a prominent example of the integration of artificial intelligence with biopharmaceuticals and is an inevitable trend in the rapid development of innovative drug screening in the future. Therefore, this article primarily focused on systematically reviewing the recent applications of virtual screening technology in the development of enzyme inhibitors and explored the prospects and advantages of using this technology in developing new drugs, aiming to provide essential theoretical insights and references for the application of related technologies in the field of new drug development.
Artificial Intelligence ; Enzyme Inhibitors/pharmacology* ; High-Throughput Screening Assays ; Molecular Docking Simulation

To develop antimicrobials against Staphylococcus aureus by high throughput screening of drug library. The type of this study is experimental research. The clinical isolates of S. aureus were collected from the sputum samples of respiratory inpatient department of the Third Xiangya Hospital of Central South University. The anti-planktonic cells growth inhibition activity of FDA-approved drugs library (including 1 573 molecules) was assessed by building a planktonic cells screening platform; The biofilm inhibitory effect of the FDA-approved drugs was detected by building a biofilm screening platform combined with crystal violet staining; Minimal inhibitory concentrations of the selected hits were determined by broth microdilution assay. Finally, the cytotoxicity of the selected hits was detected by CCK-8 assay. The results showed that 218 hits were exhibited effective growth inhibitory effects against S. aureus by setting the concentrations of the molecules in the FDA-approved library to 100 μmol/L. These selected molecules are mainly anti-infective drugs, accounting for 118 hits; Followed by anti-cancer drugs, anti-inflammatory/-immune drugs, neurological drugs, cardiovascular drugs, endocrine drugs, and metabolic disease drugs, which accounts for 40, 19, 12, 9, 8, and 3 hits; Other unclassified drugs accounts for 9 hits. The top 10 hits exhibiting anti-planktonic cells activity against S. aureus were mainly including antitumor drugs, followed by neurological drugs and unclassified drugs like vitamin K3 with the inhibition rate of 99.65%-100%. Similarly, the top 10 hits showing biofilm inhibitory effects against S. aureus were also mainly including antitumor drugs, followed by neurological drugs and anti-inflammatory/-immune drugs with the inhibition rate of 50.22%-92.95%. The minimal inhibitory concentration (MIC) of the 51 hits by second round screening was determined by micro-dilution assay, which mainly include the antitumor drugs, cardiovascular drugs, endocrine drugs, anti-inflammatory/-immune drugs, metabolic disease drugs, neurological drugs and other unclassified drugs accounted for 22, 5, 3, 9, 2, 5 and 5 hits, respectively, with the MICs of 1.56-50 μmol/L, 6.25-25 μmol/L, 6.25-25 μmol/L, 0.2-50 μmol/L, 25-50 μmol/L, 1.56-50 μmol/L and 0.1-12.5 μmol/L, respectively. In conclusion, the minimum inhibitory concentrations of small molecules screened through high-throughput assay are at the level of micromolar with strong drug development potential and high modifiability. The high effective anti-planktonic cells and anti-biofilm activity by these molecules are expected to provide new ideas for the development of new antimicrobials against S. aureus.
Humans ; Staphylococcus aureus ; Anti-Bacterial Agents/pharmacology* ; High-Throughput Screening Assays ; Staphylococcal Infections ; Anti-Infective Agents/pharmacology* ; Microbial Sensitivity Tests ; Biofilms ; Antineoplastic Agents/pharmacology* ; Anti-Inflammatory Agents/pharmacology* ; Cardiovascular Agents/pharmacology* ; Metabolic Diseases

To develop antimicrobials against Staphylococcus aureus by high throughput screening of drug library. The type of this study is experimental research. The clinical isolates of S. aureus were collected from the sputum samples of respiratory inpatient department of the Third Xiangya Hospital of Central South University. The anti-planktonic cells growth inhibition activity of FDA-approved drugs library (including 1 573 molecules) was assessed by building a planktonic cells screening platform; The biofilm inhibitory effect of the FDA-approved drugs was detected by building a biofilm screening platform combined with crystal violet staining; Minimal inhibitory concentrations of the selected hits were determined by broth microdilution assay. Finally, the cytotoxicity of the selected hits was detected by CCK-8 assay. The results showed that 218 hits were exhibited effective growth inhibitory effects against S. aureus by setting the concentrations of the molecules in the FDA-approved library to 100 μmol/L. These selected molecules are mainly anti-infective drugs, accounting for 118 hits; Followed by anti-cancer drugs, anti-inflammatory/-immune drugs, neurological drugs, cardiovascular drugs, endocrine drugs, and metabolic disease drugs, which accounts for 40, 19, 12, 9, 8, and 3 hits; Other unclassified drugs accounts for 9 hits. The top 10 hits exhibiting anti-planktonic cells activity against S. aureus were mainly including antitumor drugs, followed by neurological drugs and unclassified drugs like vitamin K3 with the inhibition rate of 99.65%-100%. Similarly, the top 10 hits showing biofilm inhibitory effects against S. aureus were also mainly including antitumor drugs, followed by neurological drugs and anti-inflammatory/-immune drugs with the inhibition rate of 50.22%-92.95%. The minimal inhibitory concentration (MIC) of the 51 hits by second round screening was determined by micro-dilution assay, which mainly include the antitumor drugs, cardiovascular drugs, endocrine drugs, anti-inflammatory/-immune drugs, metabolic disease drugs, neurological drugs and other unclassified drugs accounted for 22, 5, 3, 9, 2, 5 and 5 hits, respectively, with the MICs of 1.56-50 μmol/L, 6.25-25 μmol/L, 6.25-25 μmol/L, 0.2-50 μmol/L, 25-50 μmol/L, 1.56-50 μmol/L and 0.1-12.5 μmol/L, respectively. In conclusion, the minimum inhibitory concentrations of small molecules screened through high-throughput assay are at the level of micromolar with strong drug development potential and high modifiability. The high effective anti-planktonic cells and anti-biofilm activity by these molecules are expected to provide new ideas for the development of new antimicrobials against S. aureus.
Humans ; Staphylococcus aureus ; Anti-Bacterial Agents/pharmacology* ; High-Throughput Screening Assays ; Staphylococcal Infections ; Anti-Infective Agents/pharmacology* ; Microbial Sensitivity Tests ; Biofilms ; Antineoplastic Agents/pharmacology* ; Anti-Inflammatory Agents/pharmacology* ; Cardiovascular Agents/pharmacology* ; Metabolic Diseases

Amino acids are the basic building blocks of protein that are very important to the nutrition and health of humans and animals, and widely used in feed, food, medicine and daily chemicals. At present, amino acids are mainly produced from renewable raw materials by microbial fermentation, forming one of the important pillar industries of biomanufacturing in China. Amino acid-producing strains are mostly developed through random mutagenesis- and metabolic engineering-enabled strain breeding combined with strain screening. One of the key limitations to further improvement of production level is the lack of efficient, rapid, and accurate strain screening methods. Therefore, the development of high-throughput screening methods for amino acid strains is very important for the mining of key functional elements and the creation and screening of hyper-producing strains. This paper reviews the design of amino acid biosensors and their applications in the high-throughput evolution and screening of functional elements and hyper-producing strains, and the dynamic regulation of metabolic pathways. The challenges of existing amino acid biosensors and strategies for biosensor optimization are discussed. Finally, the importance of developing biosensors for amino acid derivatives is prospected.
Animals ; Humans ; Amino Acids ; Biosensing Techniques ; Metabolic Engineering ; High-Throughput Screening Assays ; China