Novel antibacterial drug target against Gram-negative bacteria: lipopolysaccharide transport protein LptDE and its inhibitors / 药学学报

The outer membrane composed predominantly of lipopolysaccharide (LPS) is an essential biological barrier for most Gram-negative (G-) bacteria. Lipopolysaccharide transport protein (Lpt) complex LptDE is responsible for the critical final stage of LPS transport and outer membrane assembly. The structure and function of LptDE are highly conserved in most G- bacteria but absent in mammalian cells, and thus LptDE complex is regarded as an attractive antibacterial target. In recent 10 years, the deciphering of the three-dimensional structure of LptDE protein facilities the drug discovery based on such "non-enzyme" proteins. Murepavadin, a peptidomimetic compound, was reported to be the first compound able to target LptD, enlightening a new class of antibacterial molecules with novel mechanisms of action. This article is devoted to summarize the molecular characteristics, structure-function of LptDE protein complex and review the development of murepavadin and related peptidomimetic compounds, in order to provide references for relevant researches.

Analysis of Inhibitory Effect of Berberine Compounds on Acetylcholinesterase and Blood-brain Barrier Permeability / 中国实验方剂学杂志

ObjectiveTo examine the inhibitory effects of berberine compounds， including columbamine， on acetylcholinesterase from the perspectives of drug-target binding affinity and kinetics and explore the blood-brain barrier （BBB） permeability of these compounds in different multi-component backgrounds. MethodThe median inhibitory concentration （IC50） of acetylcholinesterase by berberine compounds including columbamine was measured using the Ellman-modified spectrophotometric method. The binding kinetic parameters （Koff） of these compounds with acetylcholinesterase were determined using the enzyme activity recovery method. A qualitative analysis of the ability of these components to penetrate the BBB and arrive at the brain tissue in diverse multi-component backgrounds （including medicinal herbs and compound formulas） was conducted using ultra performance liquid chromatography-high resolution mass spectrometry （UPLC-HRMS）. ResultBerberine compounds， including columbamine， exhibited strong inhibition of acetylcholinesterase， with IC50 values in the nanomolar range. Moreover， they displayed better drug-target binding kinetics characteristics （with smaller Koff values） than the positive control of donepezil hydrochloride （P<0.01）， indicating a longer inhibition duration of acetylcholinesterase. Berberine components such as columbamine could penetrate the BBB to arrive at brain tissue in the form of a monomer， as well as in the multi-component backgrounds of Coptis and Phellodendri Chinensis Cortex medicinal extracts and the compound formula Huanglian Jiedutang. ConclusionThese berberine compounds such as columbamine exhibit a strong inhibitory effect on acetylcholinesterase and can arrive at brain tissue in multi-component backgrounds. In the level of pharmacological substance， this supports the clinical efficacy of compound Huanglian Jiedutang in improving Alzheimer's disease， providing data support for elucidating the pharmacological basis of compound Huanglian Jiedutang.

Anthraquinone modifier KA-4c triggers endoplasmic reticulum stress and targets ATF6 against breast cancer cells / 中国药理学通报

Aim To explore the mechanism of the effect of anthraquinone modifier KA-4c on breast cancer cells, and determine its action target by drug affinity reaction target stability technique (DARTS). Methods The cell viability was detected by MTT method. The effect of KA-4c on the morphology of breast cancer cells was studied by HE staining, ER-Tracker Red and electron microscope. The apoptosis rate of breast cancer cells induced by KA-4c was detected by flow cytometry. The expression of apoptotic protein was detected by Western blotting. DARTS and CETSA were used to determine the target of KA-4c. Results KA-4c had the most significant inhibitory effect on the proliferation of triple negative breast cancer MDA-MB231 cells, and could cause endoplasmic reticulum and mitochondrial vacuolation to damage the cells. The apoptosis rate and the expression of apoptosis-related proteins CHOP and caspase-7 increased with the increase of KA-4c concentration. DARTS results showed that KA-4c could activate endoplasmic reticulum protein processing signaling pathway, in which KA-4c bound to ATF6 protein and was resistant to protease hydrolysis. The results of CETSA experiments showed that KA-4c could enhance the expression of ATF6 protein in a concentration-dependent manner. Conclusions KA-4 triggers endoplasmic reticulum stress to induce apoptosis in breast cancer cells. ATF6 may be one of the targets of KA-4c.

Metabolomics in drug research and development: The recent advances in technologies and applications

Emerging evidence has demonstrated the vital role of metabolism in various diseases or disorders. Metabolomics provides a comprehensive understanding of metabolism in biological systems. With advanced analytical techniques, metabolomics exhibits unprecedented significant value in basic drug research, including understanding disease mechanisms, identifying drug targets, and elucidating the mode of action of drugs. More importantly, metabolomics greatly accelerates the drug development process by predicting pharmacokinetics, pharmacodynamics, and drug response. In addition, metabolomics facilitates the exploration of drug repurposing and drug-drug interactions, as well as the development of personalized treatment strategies. Here, we briefly review the recent advances in technologies in metabolomics and update our knowledge of the applications of metabolomics in drug research and development.

Mining Novel Anti-Nocardia Drug Targets Based on Pan-genomics and Subtractive Proteomics / 中山大学学报(医学科学版)

ObjectiveNocardia is an apathogen that causes opportunistic infections in humans and has a global distribution. In recent years， resistance of Nocardia to commonly used drugs have been observed， highlighting the urgent need for the identification of new drug targets and the development of novel antimicrobial agents against Nocardia. MethodsThirty-one complete genome sequences of Nocardia strains were retrieved from the GenBank database. Pan-genomic analysis was performed using BPGA， and drug target candidates were screened using subtractive proteomics. Homology modeling was employed to predict the 3D structures of target proteins， and potential drugs targeting these proteins were predicted using DrugBank. Molecular docking techniques were utilized to validate the binding activity between the drugs and target proteins. ResultsThe pan-genomic analysis of the 31 Nocardia strains revealed 1 421 core proteins. Fifteen candidate drug target proteins were identified through subtractive proteomics analysis. Among them， the physicochemical properties of the OG1493 protein （such as amino acid count， molecular weight， isoelectric point， grand average of hydropathicity， fat index，and instability index Ⅱ） were found to be most suitable for a drug target protein. Using the DrugBank database， seven compounds， namely Adenosine-5'-Rp-Alpha-Thio-Triphosphate， alpha，beta-Methyleneadenosine 5'-triphosphate， Phosphoaminophosphonic Acid-Adenylate Ester ，Radicicol，2-Hydroxyestradiol， p-Coumaric acid， and Ethylmercurithiosalicylic acid were identified as potential compounds capable of exerting anti-Nocardia effects by targeting this protein. Molecular docking results indicated a strong binding affinity between the target protein and these compounds. The experimental result showed that that Radicicol could be a potential antibacterial drug targeting this particular protein. ConclusionPan-genomic analysis and subtractive proteomics are valuable approaches for mining novel anti-Nocardia drug targets.

Investigation of the mechanism of action and identification of candidate traditional Chinese medicines for the treatment of ischemic stroke in the Danshen-Jiangxiang pair based on drug-target-disease association network / 生物医学工程学杂志

The therapeutic efficacy of Danshen and Jiangxiang in the treatment of ischemic stroke (IS) is relatively significant. Studying the mechanism of action of Danshen and Jiangxiang in the treatment of IS can effectively identify candidate traditional Chinese medicines (TCM) with efficacy. However, it is challenging to analyze the effector substances and explain the mechanism of action of Danshen-Jiangxiang from a systematic perspective using traditional pharmacological approaches. In this study, a systematic study was conducted based on the drug-target-symptom-disease association network using complex network theory. On the basis of the association information about Danshen, Jiangxiang and IS, the protein-protein interaction (PPI) network and the "drug pair-pharmacodynamic ingredient-target-IS" network were constructed. The different topological features of the networks were analyzed to identify the core pharmacodynamic ingredients including formononetin in Jiangxiang, cryptotanshinone and tanshinone IIA in Danshen as well as core target proteins such as prostaglandin G/H synthase 2, retinoic acid receptor RXR-alpha, sodium channel protein type 5 subunit alpha, prostaglandin G/H synthase 1 and beta-2 adrenergic receptor. Further, a method for screening IS candidates based on TCM symptoms was proposed to identify key TCM symptoms and syndromes using the "drug pair-TCM symptom-syndrome-IS" network. The results showed that three TCMs, namely Puhuang, Sanleng and Zelan, might be potential therapeutic candidates for IS, which provided a theoretical reference for the development of drugs for the treatment of IS.

GPRC5B protects osteoarthritis by regulation of autophagy signaling

Osteoarthritis (OA) is one of the most common chronic diseases in the world. However, current treatment modalities mainly relieve pain and inhibit cartilage degradation, but do not promote cartilage regeneration. In this study, we show that G protein-coupled receptor class C group 5 member B (GPRC5B), an orphan G-protein-couple receptor, not only inhibits cartilage degradation, but also increases cartilage regeneration and thereby is protective against OA. We observed that Gprc5b deficient chondrocytes had an upregulation of cartilage catabolic gene expression, along with downregulation of anabolic genes in vitro. Furthermore, mice deficient in Gprc5b displayed a more severe OA phenotype in the destabilization of the medial meniscus (DMM) induced OA mouse model, with upregulation of cartilage catabolic factors and downregulation of anabolic factors, consistent with our in vitro findings. Overexpression of Gprc5b by lentiviral vectors alleviated the cartilage degeneration in DMM-induced OA mouse model by inhibiting cartilage degradation and promoting regeneration. We also assessed the molecular mechanisms downstream of Gprc5b that may mediate these observed effects and identify the role of protein kinase B (AKT)-mammalian target of rapamycin (mTOR)-autophagy signaling pathway. Thus, we demonstrate an integral role of GPRC5B in OA pathogenesis, and activation of GPRC5B has the potential in preventing the progression of OA.

Research progress of boron-containing drugs / 中国药科大学学报

@#In recent years, the research on boron-containing drugs, especially boric acid drugs, has been increasing gradually.Boron-containing drugs, which have been a new area of research for pharmaceutical chemists in the development of new drugs, play an increasingly important anti-inflammatory, antibacterial, and anti-tumor role.At present, five boron-containing drugs have been approved, many are under clinical trials, and more are under investigation around the world, which has greatly expanded the application of boron in the research of new drugs.This paper introduces the characteristics of boron, and reviews the indications of representative boron-containing drugs in various research stages, their binding mechanisms with targets, and their progress after entering clinical trials, aiming to provide reference for further research on boron-containing drugs.

Mechanism and main active ingredients of Radix Et Rhizoma Tripterygii Wilfordii for breast cancer / 中国药理学通报

Aim To explore the main active ingredients of Tripterygium wilfordii and the mechanism in treat-ment of breast cancer based on network pharmacology.Methods The active components and targets of Tripterygii Wilfordii were searched by TCMSP.GeneCard database was used to screen the potential targets of Tripterygii Wilfordii in treatment of breast cancer.The two were matched to obtain the core components and targets of Tripterygii Wilfordii.Cytoscape3.6.0 and AutoDock Vina were used to draw the drug-target network diagram, and GO enrichment analysis, KEGG pathway enrichment analysis, and molecular docking between the core target and the components were carried out.CCK8 and qPCR were used to verify the effect of optimal core component tripterine on breast cancer cells.Results Seven kinds of active anti-breast cancer components and twenty-five core therapeutic targets of Tripterygii Wilfordii were obtained.Tripterine, which significantly inhibited the growth of breast cancer cells, was the most valuable component of Tripterygii Wilfordii for breast cancer.QPCR results showed that tripterine decreased the expression of core therapeutic targets.Conclusions The effectiveness of Tripterygii Wilfordii has multiple pathways, and tripterine may play an important role in treatment of breast cancer.

Protective effect of hydroxysafflor yellow A on lung injury associated with severe acute pancreatitis in mice / 中华急诊医学杂志

Objective:To investigate the protective effect and mechanism of hydroxysafflor yellow A (HSYA) on severe acute pancreatitis (SAP) related lung injury.Methods:Fifty mice were randomly (random number) divided into five groups: the sham-operated group, SAP group and different doses (20, 40 and 80 mg/kg) of HSYA pretreatment group. Mice were pretreated with HSYA 24 h before SAP induction, pancreatic and lung tissues were isolated for histopathological examination at 72 h after modeling, and bronchoalveolar lavage fluid (BALF) was collected for biochemical analysis. Results:Compared with the sham-operated group, serum amylase activity, lung injury pathological score and BALF protein concentration in the SAP group were significantly increased [(2120.44 ± 354.50) U/L vs. (226.72 ± 20.84) U/L; (6.91 ± 0.28) vs. (0.53±0.18); (2563.25±348.22) μg/mL vs. (345.62±56.35) μg/mL, all P<0.05]. Inflammatory factors tumor necrosis factor (TNF)-α and interleukin (IL)-6 levels and myeloperoxidase (MPO) activity were increased [(120.5±14.25) pg/mL vs. (31.5±4.82) pg/mL; (214.72±10.62) pg/mL vs. (39.26±5.66) pg/mL; (4.52±0.34) U/mg vs. (1.03±0.17) U/mg]. Compared with the SAP group, HSYA pretreatment significantly attenuated SAP-related pancreatic and lung tissue damage and the activities of the inflammatory factors TNF-α, IL-6 and MPO in BALF. In addition, HSYA promoted the expression of the antioxidant protein heme oxygenase-1 and blocked the activation of the NF-κB signaling pathway. Conclusions:HSYA exerts anti-inflammatory and antioxidant activities to inhibit SAP-related lung injury, which indicated that HSYA may be a potential therapeutic drug for SAP-induced lung injury.

Drug target inference by mining transcriptional data using a novel graph convolutional network framework

A fundamental challenge that arises in biomedicine is the need to characterize compounds in a relevant cellular context in order to reveal potential on-target or off-target effects. Recently, the fast accumulation of gene transcriptional profiling data provides us an unprecedented opportunity to explore the protein targets of chemical compounds from the perspective of cell transcriptomics and RNA biology. Here, we propose a novel Siamese spectral-based graph convolutional network (SSGCN) model for inferring the protein targets of chemical compounds from gene transcriptional profiles. Although the gene signature of a compound perturbation only provides indirect clues of the interacting targets, and the biological networks under different experiment conditions further complicate the situation, the SSGCN model was successfully trained to learn from known compound-target pairs by uncovering the hidden correlations between compound perturbation profiles and gene knockdown profiles. On a benchmark set and a large time-split validation dataset, the model achieved higher target inference accuracy as compared to previous methods such as Connectivity Map. Further experimental validations of prediction results highlight the practical usefulness of SSGCN in either inferring the interacting targets of compound, or reversely, in finding novel inhibitors of a given target of interest.

Study on active components and targets of Ginseng in Prevention and treatment of PTSD based on Network Pharmacology / 中国药理学通报

Aim To obtain the active components and targets of ginseng in the prevention and treatment of traumatic stress disorder(PTSD) through the method of network pharmacology. Methods The active components and target information of ginseng with medicinal value were obtained by TCMSP research platform, and the gene information closely related to the pathogenesis of PTSD was obtained by searching GeneCard and OMIM database. The two were matched to obtain the medicinal components and target genes of ginseng in the prevention and treatment of PTSD. The drug-dis- ease-target network diagram was drawn by R and Perl computer languages, and the target genes were analyzed by PPI network analysis, gene ontology ( GO ) and signal transduction pathway ( KEGG) enrichment analysis. Results According to the general pharmacological research methods of traditional Chinese medi cine, the screening parameters of active components were set, and nine kinds of high value medicinal ingredients of Panax ginseng were obtained. There was a drug-target relationship between the nine medicinal components and sixteen target genes related to PTSD disease. Through PPI, GO and KEGG analysis, it was found that the target genes were mainly enriched in physiological functions such as neurotransmitters, syn-aptic plasticity, ion channels and so on. Conclusions Ginseng has the pharmacological effect of preventing and treating PTSD, which may play a role in regulating the metabolism and receptor activity of monoamine neurotransmitters.

Reverse vaccinology and subtractive genomics approaches for identifying common therapeutics against Mycobacterium leprae and Mycobacterium lepromatosis

Mycobacterium leprae and Mycobacterium lepromatosis are gram-positive bacterial pathogens and the causative agents of leprosy in humans across the world. The elimination of leprosy cannot be achieved by multidrug therapy alone, and highlights the need for new tools and drugs to prevent the emergence of new resistant strains. Methods In this study, our contribution includes the prediction of vaccine targets and new putative drugs against leprosy, using reverse vaccinology and subtractive genomics. Six strains of Mycobacterium leprae and Mycobacterium lepromatosis (4 and 2 strains, respectively) were used for comparison taking Mycobacterium leprae strain TN as the reference genome. Briefly, we used a combined reverse vaccinology and subtractive genomics approach. Results As a result, we identified 12 common putative antigenic proteins as vaccine targets and three common drug targets against Mycobacterium leprae and Mycobacterium lepromatosis. Furthermore, the docking analysis using 28 natural compounds with three drug targets was done. Conclusions The bis-naphthoquinone compound Diospyrin (CID 308140) obtained from indigenous plant Diospyros spp. showed the most favored binding affinity against predicted drug targets, which can be a candidate therapeutic target in the future against leprosy.(AU)

Advances in pathogenic mechanism of respiratory syncytial virus / 国际儿科学杂志

Respiratory syncytial virus is a leading cause of acute lower respiratory infection(ALRI)in infants and young children, remains a significant burden to global health.Unfortunately, no effective treatments or vaccine has been developed.However, in recent years, there has been substantial advance in understanding the pathogenic mechanism of RSV, which is always a research hotspot to seek drug and vaccine targets.This review summarizes the progress in the RSV particles structure, viral protein function and the host immune response, and hopes to describe a clearer understanding of RSV pathogenic mechanism which is essential for developing interventions.

Simulation Analysis of Occupancy Rates of Baicalein， Quercetin and Galangin on Target Sites of Xanthine Oxidase / 中国实验方剂学杂志

Objective:To simulate the occupancy rates of baicalein， quercetin and galangin on the target sites of xanthine oxidase <italic>in vivo</italic>. Method:In this experiment， the half inhibitory concentration （IC₅₀） of febuxostat， baicalein， quercetin and galangin against xanthine oxidase were determined by <italic>in vitro</italic> enzymatic reaction. Binding free energy was predicted by molecular docking technology and their association rate constant （k_on） and dissociation rate constant （k_off） were determined by surface plasmon resonance technology. Based on measured binding kinetic parameters （k_on and k_off） and extracted pharmacokinetic data， the target occupancy model <italic>in vivo</italic> was established. Result:The IC₅₀values of febuxostat， baicalein， quercetin and galangin were 0.002 7， 1.63， 0.38， 1.59 µmol·L^-1， respectively. The IC₅₀ of febuxostat was very close to that reported in the literature. The predicted curve of target occupancy rate <italic>in vivo</italic> of febuxostat was consistent with its duration of clinical efficacy. When single intragastric administration of long-circulating liposomes of quercetin with dose of 100 mg·kg^-1 in rats， the time of target occupancy rate >70% <italic>in vivo</italic> lasted for about 3.9 h. When rats were orally administered baicalein and galangin with dose of 200 mg·kg^-1， the time of target occupancy rate >50% <italic>in vivo </italic>lasted for about 10 h and 1.7 h， respectively. Conclusion:The prediction model of xanthine oxidase target occupancy constructed by drug target binding kinetics and <italic>in vivo</italic> pharmacokinetic curves can effectively evaluate the <italic>in vivo</italic> inhibitory activity of compounds against the target.

Drug target discovery by magnetic nanoparticles coupled mass spectrometry / 药物分析学报

Drug target discovery is the basis of drug screening.It elucidates the cause of disease and the mechanism of drug action,which is the essential of drug innovation.Target discovery performed in biological sys-tems is complicated as proteins are in low abundance and endogenous compounds may interfere with drug binding.Therefore,methods to track drug-target interactions in biological matrices are urgently required.In this work,a Fe3O4 nanoparticle-based approach was developed for drug-target screening in biofluids.A known ligand-protein complex was selected as a principle-to-proof example to validate the feasibility.After incubation in cell lysates,ligand-modified Fe3O4 nanoparticles bound to the target protein and formed complexes that were separated from the lysates by a magnet for further analysis.The large surface-to-volume ratio of the nanoparticles provides more active sites for the modification of chemical drugs.It enhances the opportunity for ligand-protein interactions,which is beneficial for capturing target proteins,especially for those with low abundance.Additionally,a one-step magnetic separation simplifies the pre-processing of ligand-protein complexes,so it effectively reduces the endogenous interference.Therefore,the present nanoparticle-based approach has the potential to be used for drug target screening in biological systems.

Angiotensin-converting enzyme 2 (ACE2): SARS-CoV-2 receptor and RAS modulator

The coronavirus disease 2019 (COVID-19) outbreak is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Angiotensin-converting enzyme 2 (ACE2) was rapidly identified as the critical functional receptor for SARS-CoV-2. ACE2 is well-known as a counter-regulator of the renin-angiotensin system (RAS) and plays a key role in the cardiovascular system. Given that ACE2 functions as both a SARS-CoV-2 receptor and a RAS modulator, the treatment for COVID-19 presents a dilemma of how to limit virus entry but protect ACE2 physiological functions. Thus, an in-depth summary of the recent progress of ACE2 research and its relationship to the virus is urgently needed to provide possible solution to the dilemma. Here, we summarize the complexity and interplay between the coronavirus, ACE2 and RAS (including anti-RAS drugs). We propose five novel working modes for functional receptor for SARS-CoV-2 infection and the routes of ACE2-mediated virus entering host cells, as well as its regulatory mechanism. For the controversy of anti-RAS drugs application, we also give theoretical analysis and discussed for drug application. These will contribute to a deeper understanding of the complex mechanisms of underlying the relationship between the virus and ACE2, and provide guidance for virus intervention strategies.

Revisiting trypanosomatid nucleoside diphosphate kinases

BACKGROUND An increasing amount of research has led to the positioning of nucleoside diphosphate kinases (NDPK/NDK) as key metabolic enzymes among all organisms. They contribute to the maintenance the intracellular di- and tri- phosphate nucleoside homeostasis, but they also are involved in widely diverse processes such as gene regulation, apoptosis, signal transduction and many other regulatory roles. OBJETIVE Examine in depth the NDPKs of trypanosomatid parasites responsible for devastating human diseases (e.g., Trypanosoma cruzi, Trypanosoma brucei and Leishmania spp.) which deserve special attention. METHODS The earliest and latest advances in the topic were explored, focusing on trypanosomatid NDPK features, multifunctionality and suitability as molecular drug targets. FINDINGS Trypanosomatid NDPKs appear to play functions different from their host counterparts. Evidences indicate that they would perform key roles in the parasite metabolism such as nucleotide homeostasis, drug resistance, DNA damage responses and gene regulation, as well as host-parasite interactions, infection, virulence and immune evasion, placing them as attractive pharmacological targets. MAIN CONCLUSIONS NDPKs are very interesting multifunctional enzymes. In the present review, the potential of trypanosomatid NDPKs was highlighted, raising awareness of their value not only with respect to parasite biology but also as molecular targets.

Study on drug-target binding kinetics profiles of flavonoids in Chrysanthemum morifolium and xanthine oxidase / 中国中药杂志

Based on the target occupancy mathematical model, the binding kinetic process of potential active ingredients of lowering uric acid in Chrysanthemum morifolium with xanthine oxidase(XOD) was evaluated. The potential active ingredients of lowering uric acid in Ch. morifolium were screened by UPLC-Q-Exactivems MS technology, reference substance identification and in vitro enzymatic kinetics experiments. The binding kinetic parameters of xanthine oxidase and potential inhibitor in Ch. morifolium were determined by surface plasma resonance(SPR). The verified mathematical model of the XOD target occupancy evaluated the kinetic binding process of inhibitors and xanthine oxidase in vivo. According to UPLC-Q-Exactive MS and reference substance identification, 39 potential uric acid-lowering active ingredients in Ch. morifolium extracts were identified and the inhibitory activities of 23 compounds were determined. Three potential xanthine oxidase inhibitors were screened, namely genistein, luteolin, and apigenin. whose IC_(50 )were 1.23, 1.47 and 1.59 μmol·L~(-1), respectively. And the binding rate constants(K_(on)) were 1.26×10~6, 5.23×10~5 and 6.36×10~5 mol·L~(-1)·s~(-1), respectively. The dissociation rate constants(K_(off)) were 10.93×10~(-2), 1.59×10~(-2), and 5.3×10~(-2 )s~(-1), respectively. After evaluation by different administration methods, the three selected compounds can perform rapid and sustained inhibition of xanthine oxidase in vivo under combined administration. This study comprehensively evaluated the target occupancy process of three effective components in different ways of administration in vivo by UPLC-MS, concentration-response method, SPR technology and xanthine oxidase target occupancy model, which would provide a new research idea and method for screening active ingredients in traditional Chinese medicine.

Drug targets for COVID-19 therapeutics: Ongoing global efforts

The current global pandemic COVID-19 caused by the SARS-CoV-2 virus has already inflicted insurmountable damage both to the human lives and global economy. There is an immediate need for identificationof effective drugs to contain the disastrous virus outbreak. Global efforts are already underway at a war footingto identify the best drug combination to address the disease. In this review, an attempt has been made tounderstand the SARS-CoV-2 life cycle, and based on this information potential druggable targets againstSARS-CoV-2 are summarized. Also, the strategies for ongoing and future drug discovery against the SARSCoV-2 virus are outlined. Given the urgency to find a definitive cure, ongoing drug repurposing efforts beingcarried out by various organizations are also described. The unprecedented crisis requires extraordinary effortsfrom the scientific community to effectively address the issue and prevent further loss of human lives andhealth.