The unique characteristics of the deep space environment, microgravity, cosmic radiation, and extreme temperature fluctuations, are emerging as major driving forces for pharmaceutical innovation. These factors provide new avenues for optimizing drug formulations, improving crystal structure quality, and accelerating the discovery of therapeutic targets. Advances in deep space research not only help overcome critical bottlenecks in terrestrial drug development but also promote progress in structure-based drug design and deepen understanding of cellular stress-response mechanisms. Current progress in space-based pharmaceutical research primarily includes the study of disease mechanisms under microgravity, protein crystallization in microgravity, and drug development utilizing deep space radiation and resources. However, the operational complexity, high costs, and limited data reproducibility of space experiments remain key challenges hindering widespread application. Looking ahead, with the integration of automation, artificial intelligence analysis, and on-orbit manufacturing, deep space drug development is expected to achieve greater scalability and precision, opening a new frontier in biopharmaceutical science.
Drug Design ; Drug Development/methods* ; Humans ; Weightlessness ; Space Flight ; Artificial Intelligence ; Extraterrestrial Environment

Maternal health during pregnancy has a direct impact on the risk and severity of neurodevelopmental disorders (NDDs) in the offspring, especially in the case of drug exposure. However, little progress has been made to assess the risk of drug exposure during pregnancy due to ethical constraints and drug use factors. We collected and manually curated sub-pathways and pathways (sub-/pathways) and drug information to propose an analytical framework for predicting drug candidates. This framework linked sub-/pathway activity and drug response scores derived from gene transcription data and was applied to human fetal brain development and six NDDs. Further, specific and pleiotropic sub-/pathways/drugs were identified using entropy, and sex bias was analyzed in conjunction with logistic regression and random forest models. We identified 19 disorder-associated and 256 regionally pleiotropic and specific candidate drugs that targeted risk sub-/pathways in NDDs, showing temporal or spatial changes across fetal development. Moreover, 5443 differential drug-sub-/pathways exhibited sex-biased differences after filling in the gender labels. A user-friendly NDDP visualization website ( https://ndd-lab.shinyapps.io/NDDP ) was developed to allow researchers and clinicians to access and retrieve data easily. Our framework overcame data gaps and identified numerous pleiotropic and specific candidates across six disorders and fetal developmental trajectories. This could significantly contribute to drug discovery during pregnancy and can be applied to a wide range of traits.
Humans ; Female ; Pregnancy ; Neurodevelopmental Disorders/metabolism* ; Male ; Prenatal Exposure Delayed Effects ; Fetal Development/drug effects* ; Drug Discovery/methods* ; Brain/metabolism*

Proteins play a variety of functional roles in cellular activities and are indispensable for life. Understanding the functions of proteins is crucial in many fields such as medicine and drug development. In addition, the application of enzymes in green synthesis has been of great interest, but the high cost of obtaining specific functional enzymes as well as the variety of enzyme types and functions hamper their application. At present, the specific functions of proteins are mainly determined through tedious and time-consuming experimental characterization. With the rapid development of bioinformatics and sequencing technologies, the number of protein sequences that have been sequenced is much larger than those can be annotated, thus developing efficient methods for predicting protein functions becomes crucial. With the rapid development of computer technology, data-driven machine learning methods have become a promising solution to these challenges. This review provides an overview of protein function and its annotation methods as well as the development history and operation process of machine learning. In combination with the application of machine learning in the field of enzyme function prediction, we present an outlook on the future direction of efficient artificial intelligence-assisted protein function research.
Artificial Intelligence ; Machine Learning ; Proteins/genetics* ; Computational Biology/methods* ; Drug Development

Interleukin-2 (IL-2) is one of the most important regulators in immune system, as it plays an essential part both in immune activation and suppression. However, as the first immunotherapy drug approved for the treatment of cancer, IL-2 is limited in clinical application by the serious adverse reactions. The long-felt needs in clinical practice, including prolonged half-lives, T cell subset specificity, and toxicity reduction can be achieved by polyethylene glycol (PEG) modification, Fc fusing, or protein mutation of IL-2. NKTR-214, the most advanced IL-2 pathway-targeted agent in clinical development for oncology, shows exciting results in treatment of melanoma in combination with nivolumab. At the same time, many more other modified molecules against cancer and autoimmune diseases are being tested in clinical research, an exciting future lying ahead for IL-2 therapeutics.
Drug Development ; Humans ; Immunotherapy/methods* ; Interleukin-2/therapeutic use* ; Melanoma/drug therapy* ; Nivolumab/therapeutic use* ; Polyethylene Glycols

Covid-19 pandemic has caused hundreds of thousands deaths and millions of infections and continued spreading violently. Although researchers are racing to find or develop effective drugs or vaccines, no drugs from modern medical system have been proven effective and the high mutant rates of the virus may lead it resistant to whatever drugs or vaccines developed following modern drug development procedure. Current evidence has demonstrated impressive healing effects of several Chinese medicines (CMs) for Covid-19, which urges us to reflect on the role of CM in the era of modern medicine. Undoubtedly, CM could be promising resources for developing drug candidates for the treatment of Covid-19 in a way similar to the development of artemisinin. But the theory that builds CM, like the emphasis of driving away exogenous pathogen (virus, etc.) by restoring self-healing capacity rather than killing the pathogen directly from the inside and the 'black-box' mode of diagnosing and treating patients, is as important, yet often ignored, an treasure as CM herbs and should be incorporated into modern medicine for future advancement and innovation of medical science.
Antiviral Agents/therapeutic use* ; COVID-19/therapy* ; Disease Outbreaks ; Drug Development/standards* ; Drug Resistance, Viral/genetics* ; Drug Therapy, Combination ; Drugs, Chinese Herbal/therapeutic use* ; Humans ; Medicine, Chinese Traditional/trends* ; Mutation Rate ; Pandemics ; Phytotherapy/methods* ; SARS-CoV-2/physiology*

OBJECTIVE: Newly identified human rhinovirus C (HRV-C) and human bocavirus (HBoV) cannot propagate in vitro in traditional cell culture models; thus obtaining knowledge about these viruses and developing related vaccines are difficult. Therefore, it is necessary to develop a novel platform for the propagation of these types of viruses. METHODS: A platform for culturing human airway epithelia in a three-dimensional (3D) pattern using Matrigel as scaffold was developed. The features of 3D culture were identified by immunochemical staining and transmission electron microscopy. Nucleic acid levels of HRV-C and HBoV in 3D cells at designated time points were quantitated by real-time polymerase chain reaction (PCR). Levels of cytokines, whose secretion was induced by the viruses, were measured by ELISA. RESULTS: Properties of bronchial-like tissues, such as the expression of biomarkers CK5, ZO-1, and PCK, and the development of cilium-like protuberances indicative of the human respiration tract, were observed in 3D-cultured human airway epithelial (HAE) cultures, but not in monolayer-cultured cells. Nucleic acid levels of HRV-C and HBoV and levels of virus-induced cytokines were also measured using the 3D culture system. CONCLUSION Our data provide a preliminary indication that the 3D culture model of primary epithelia using a Matrigel scaffold in vitro can be used to propagate HRV-C and HBoV.
Collagen ; Drug Combinations ; Enterovirus ; growth & development ; isolation & purification ; Enterovirus Infections ; virology ; Enzyme-Linked Immunosorbent Assay ; Epithelial Cells ; virology ; Human bocavirus ; growth & development ; isolation & purification ; Humans ; Laminin ; Parvoviridae Infections ; virology ; Primary Cell Culture ; methods ; Proteoglycans ; Real-Time Polymerase Chain Reaction ; Respiratory Mucosa ; virology ; Virus Cultivation

This study aimed to develop a guideline for therapeutic drug monitoring (TDM) of vancomycin. We adopted the new guideline definition from the Institute of Medicine (IOM), adhered closely to the six domains of the Appraisal of Guidelines for Research & Evaluation II (AGREE II), and made recommendations based on systematic reviews. We established a Guideline Steering Group and a Guideline Development Group, formulated 12 questions in the form of Population, Intervention, Comparison, Outcome (PICO) and completed a literature search. As far as we know, we will develop the first evidenced-based guideline for vancomycin TDM under the framework of the Grade of Recommendations Assessment, Development and Evaluation (GRADE).
Anti-Bacterial Agents ; administration & dosage ; economics ; pharmacokinetics ; China ; Drug Administration Schedule ; Drug Monitoring ; methods ; Evidence-Based Medicine ; Humans ; Methicillin-Resistant Staphylococcus aureus ; drug effects ; growth & development ; pathogenicity ; Staphylococcal Infections ; drug therapy ; microbiology ; pathology ; Vancomycin ; administration & dosage ; economics ; pharmacokinetics

Hyoscyami Semen, the mature dried seed of Hyoscyamus niger L., has long been used as a traditional Chinese medicine to treat human diseases. Hyoscyami Semen is found in local markets in China. In markets, sellers and buyers commonly inadvertently mix the seeds of H. niger with the seeds of related species such as Hygrophila salicifolia (Vahl) Nees, Astragalus complanatus R. Br., Cuscuta australis R. Br., Cuscuta chinensis Lam., and Impatiens balsamina L. because of their similar morphologies or similar names. Thus, developing a reliable method for discriminating H. niger seeds from its adulterants is necessary to reduce confusion and ensure the safe use of Hyoscyami Semen. The present study was designed to evaluate the efficiency of high-resolution melting analysis combined with DNA barcoding (Bar-HRM) with internal transcribed spacer 2 to discriminate H. niger. Our results show that Bar-HRM successfully identified the adulterants and detected the proportion of H. niger DNA extract within an admixture. In particular, HRM detected H. niger DNA extract in A. complanatus DNA extract at concentrations as low as 1%. In conclusion, the Bar-HRM method developed in the present study for authenticating H. niger is rapid and cost-effective. It can be used in the future to guarantee the purity of Hyoscyami Semen for the clinical use.
China ; DNA Barcoding, Taxonomic ; methods ; DNA, Intergenic ; chemistry ; genetics ; DNA, Plant ; chemistry ; genetics ; Discriminant Analysis ; Drug Contamination ; Drugs, Chinese Herbal ; chemistry ; Hyoscyamus ; genetics ; growth & development ; Seeds ; genetics ; growth & development ; Transition Temperature

Zebrafish has unique advantages over other animal models in the aspect of drug screens for active ingredients and gains more and more attentions in drug research and development recently. Thus, this article reviews the recent advance of zebrafish-based drug screens in Chinese traditional medicine (TCM) effective part research, monomer drug screening, activity evaluation of natural products, discovery of new uses for old drugs, and toxicity assessment in early-phase drug discovery.
Animals ; Drug Evaluation, Preclinical ; instrumentation ; methods ; Drugs, Chinese Herbal ; pharmacology ; Models, Animal ; Zebrafish ; growth & development

All kinds of traditional Chinese medicines (TCMs) differed from each other with different chemical components and properties. Owing to poor conditions and technologies, and the lack of scientific preservation, most TCMs will easily become mouldy during the processes of growth, harvest, handling, translation and especially storage, which will not only influence the quality, safety and efficacy of TCMs, but also cause serious waste and economic losses, and even do great harm to human health. The process of storage is closely related to the qualities of TCMs with many interference factors. Therefore, scientific preservation of TCM during storage is crucial to prevent them from being mouldy. This review analyzed the important harm of mouldy TCMs, summarized the internal and external factors of resulting in TCMs to become mouldy. Based on the above discussion, together with the characteristics and limitations of current TCM preservation techniques, we prospect novel, scientific and reasonable preservation techniques, expecting to provide references for scientific preservation of TCMs to avoid becoming mouldy and guarantee their qualities.
Drug Contamination ; prevention & control ; Drug Storage ; methods ; Drugs, Chinese Herbal ; chemistry ; Fungi ; growth & development ; isolation & purification ; Plants, Medicinal ; chemistry ; microbiology