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Cholera is still a serious public health problem in developing countries, particularly those in tropical regions. This has stimulated considerable research into the molecular analysis of pathogenesis resulting in the identification of a number of critical components required for both colonization of the gut mucosa and the disease symptoms. These components are the targets for rational molecular approaches to vaccine development.
Designed fluorescent indicators are the basis for a major new technique in cell physiology, the quantitative measurement and dynamic imaging of intracellular concentrations of important ions and messengers such as Ca2+, Na+, H+, and adenosine 3',5'-cyclic monophosphate. Molecular engineering has now produced indicators with quite good selectivity and sensitivity for these analytes. In many cases, these probes can be introduced into large populations of cells by means of membrane-permeant chemical derivatives, so that the plasma membrane need never be disrupted or physically breached at any point. Like many other optical microscopic techniques, fluorescent indicators are readily applied to study living cells and tissues, with an unparalleled combination of spatial and temporal resolution. They offer one of the few methods for continuous nondestructive monitoring of dynamic intracellular biochemistry and signal transduction in single cells or subregions of cells.
The disodium salt of 4-diethyl aminophenyl-4',4''-bis(3-sulfobenzyl ethyl aminophenyl)acetonitrile was made and studied. It was found to release cyanide lineraly with exposure to ionizing radiation. When administered ip to mice, it was absorbed in significant amounts and retained its ability to cleave upon irradiation. Based upon this, we gathered evidence and proposed that it is feasible to design a non-toxic compound which when exposed to ionizing radiation would yield predictable reactive end products that would remain localized and augment the effects of irradiation upon a neoplasm.
Viral diseases pose a serious threat to global public health, agriculture, and biosecurity. Conventional antiviral strategies are often limited by an incomplete understanding of disease mechanisms, poor targeting precision, and slow response times. Emerging technologies are now reshaping the landscape of antiviral research. This review examines the roles of four key frontiers, including organoid models, gene editing, AI-driven molecular design, and synthetic biology. Organoids provide physiologically relevant platforms that model virus-host interactions and disease progression. Viral infections remain a major challenge to human and animal health, agriculture, and biosecurity. Progress in antiviral research is constrained by the complexity of viral pathogenesis, the diversity and rapid evolution of viruses, and the limited translational relevance of some traditional model systems. Recent advances in organoid technology, gene editing, artificial intelligence, and synthetic biology are expanding the toolkit available for antiviral research and development. In this review, we discuss how these four technological frontiers contribute to disease modeling, target discovery, molecular design, and translational innovation. Organoids, in particular, provide physiologically relevant systems for investigating viral infection, tissue tropism, host responses, and pathogenesis. Gene editing tools, such as CRISPR, enable precise manipulation of host and viral genomes, facilitating the development of resistant organisms and next-generation vaccine platforms. AI technologies, including AlphaFold for structure prediction and platforms for de novo protein design, address long-standing bottlenecks in structural biology and offer powerful means to engineer antiviral proteins, antibodies, and vaccine antigens. Synthetic biology, guided by the Design-Build-Test-Learn cycle, integrates computational design, genetic assembly, and functional validation into a cohesive pipeline. Together, these technologies form a synergistic workflow that spans disease modeling, target discovery, molecular design, construction, testing, and iterative optimization. This integrated approach is shifting antiviral development from traditional empirical methods toward more precise, intelligent strategies. The review also highlights ongoing challenges in integration and scalability, stressing that high-quality biological datasets and stronger interdisciplinary collaboration are essential for realizing translational potential. By presenting a cohesive view of these converging methodologies, this review offers a framework to guide the intelligent evolution of antiviral strategies in both human and animal health.
Azatoxin [NSC 640737-M; 5.R,11aS-1H,6H,3-one-5,4,11,11a-tetrahydro-5-(3,5-dimethoxy-4-hydr oxyphenyl) oxazolo (3',4':1,6)pyrido-(3,4-b)indole] was rationally designed from a model for the pharmacophore of drugs with topoisomerase II inhibition activity. This pharmacophore has at least 2 domains: a quasiplanar polycyclic ring system proposed to bind between the DNA base pairs and a pendant substituent proposed to interact with the enzyme and/or to the DNA grooves. The present study shows that, in cell free systems, azatoxin induces a large number of double strand-breaks in linear Simian virus 40 and human c-myc DNA. These breaks yield cleavage patterns that are different from those of well established topoisomerase II inhibitors (epipodophyllotoxins, amsacrine, mitoxantrone). Azatoxin also inhibits the catalytic activity of purified topoisomerase II, and is a nonintercalator. The structure-activity relationship of 3 isomers and 6 derivatives of azatoxin shows a stringent stereochemical requirement for activity. The effects of azatoxin pendant ring substitution on topoisomerase II mediated DNA cleavage activity were similar to the relationship observed for etoposide.
A total of 947 saline-alkaline tolerance-related molecular markers and a 5K cGPS genotyping chipwere developed, providing practical tools for marker-assisted selection and molecular design breeding of saline-alkaline-tolerant rapeseed. Rapeseed (Brassica napus L.) has relatively strong tolerance to saline-alkaline stress and shows great potential for the sustainable utilization and improvement of saline-alkaline soils. However, the breeding of highly tolerant cultivars still mainly depends on conventional hybridization combined with phenotype-based selection, which constrains breeding efficiency. In this study, previously reported saline-alkaline tolerance-related genes from rapeseed, rice, maize, wheat, sorghum, and Arabidopsis were collected. Candidate gene-based association analysis enabled the development of molecular markers and a genotyping chip. A total of 483 significantly associated genes were identified, among which 355 genes contained favorable haplotypes. Molecular markers were successfully developed for 275 genes, including 746 KASP and 201 InDel marker pairs, and four marker pairs were randomly selected for validation. In addition, a 5K cGPS liquid-phase chip (HZSW-cGPS-BRNAP-04), was developed and showed a high call rate and excellent reproducibility in genotyping. These markers and the chip are expected to improve the breeding efficiency of saline-alkaline-tolerant rapeseed cultivars. Overall, this study provides useful tools for early-generation evaluation and marker-assisted selection (MAS), and provides a foundation for molecular design breeding of saline-alkali-tolerant rapeseed.
Regulation by a repressor protein is the mechanism selected when, in the organism's natural environment, there is low demand for expression of the regulated structural genes. Regulation by an activator protein is selected when there is high demand for expression of the regulated structural genes. These general conclusions are useful in relating physiological function to underlying molecular determinants in a wide variety of systems that includes repressible biosynthetic pathways, inducible biosynthetic enzymes, inducible drug resistance, and prophage induction, as well as inducible catabolic pathways, for which a special case of this prediction previously was reported [Savageau, M. A. (1974) Proc. Natl. Acad. Sci. USA 71, 2453-2455].
An important trend in biomaterials research and development is the synthesis of polymers that combine capabilities of biologic recognition (biomimetic) with special physicochemical properties of the synthetic polymer system. Another important trend in such "molecular bioengineering" is to develop, perhaps via computer-aided molecular design, new artificial biomimetic systems by exact placement of functional groups on rigid polymer backbones, cross-linked structures, or macromolecular assemblies. In this way, biocatalytic functioning or biorecognition similar to enzymes and antibodies can be achieved without the inherent instability often encountered with the native biomolecules or assemblies. Perhaps the most exciting trend in biomaterials research and development is the availability of new biomolecules, e.g., via protein engineering and of hardy cells with specific biofunctions and bioresponses that can be tailored to specific medical or biotechnological needs. The wide variety of ways that such biomolecules and cells can be combined with polymeric biomaterials provides tremendously exciting opportunities for the biomaterials scientists and engineers. In addition to these synthetic approaches, new and exciting analytical tools, such as the scanning tunneling microscope and the atomic force microscope, are permitting study on a molecular scale of individual and small clusters of proteins and other biomolecular assemblies on surfaces. Cell attachments and spreading may also be visualized at various depths within the cell using the confocal laser microscope. Such analytical techniques can lead to important new knowledge about biologic interactions with biomaterials and, therefore, to development of even more biocompatible implants and devices. This paper overviews the present state of polymeric biomaterials and highlights the important and exciting opportunities generated by the liaison of these materials with molecular biology.
G-quadruplex (G4) DNA structures are increasingly recognized for their roles in transcriptional regulation and genome stability, making them attractive therapeutic targets. Selective recognition of individual G4s remains challenging due to the high structural similarity among G4 motifs. G4 Ligand-Oligonucleotides conjugates (GL-Os) address this challenge by combining small-molecule G4 ligands with the sequence specificity of oligonucleotides, targeting sequences flanking the intended G4 target. Here, we systematically investigate how oligonucleotide length, backbone composition, and sequence complementarity govern GL-O binding, selectivity, and G4 stabilization. We show that effective G4 recognition depends on the interdependence between oligonucleotide hybridization and G4 ligand binding, such that both elements cooperatively reinforce complex stability and site specificity. Longer oligonucleotides promote more stable complexes and stronger G4 stabilization, whereas central mismatches disrupt this dual-recognition mechanism. Replacement of DNA with peptide nucleic acids (PNAs) enhances binding strength, thermal stability, and metabolic stability. Importantly, ligand conjugation redirects PNA oligonucleotides from nonspecific polymerase stalling toward selective G4 stabilization. Finally, we demonstrate receptor-mediated cellular uptake of modified GL-Os, supporting the feasibility of cellular delivery while highlighting remaining delivery barriers. Together, these findings show the molecular design principles governing GL-O behavior and provide a foundation for the future development and evaluation of selective G4-targeting therapeutics.
Carotenoids are essential pigments in the plant photosynthetic apparatus, functioning in light harvesting, photoprotection, and signal transduction, and serving as precursors of vital nutrients such as vitamin A. Phytoene synthase (PSY) is the first rate-limiting enzyme in the plant carotenoid biosynthetic pathway, and its transcriptional regulation primarily depends on cis-acting promoter elements, associated transcription factors, and epigenetic status. The PSY promoter region contains core cis-elements as well as multiple light-, hormone-, and stress-responsive elements, which collectively function as key regulatory sites governing spatiotemporal expression. This review systematically summarizes recent advances in PSY promoter regulation by plant hormones (e.g., abscisic acid, ethylene, jasmonic acid), environmental factors (light signaling, temperature, salinity, and drought), and epigenetic mechanisms (DNA methylation, histone modifications, and chromatin remodeling). In addition, the application of transgenic and biotechnological approaches to PSY promoter regulation is further summarized. Including promoter sequence engineering with precise editing of cis-elements and promoter-targeted CRISPR activation/interference (CRISPRa/i) for tunable transcriptional control. Emphasis is placed on how these signals are integrated at the promoter level. Deeper insights into these mechanisms will provide both theoretical foundations and practical strategies for enhancing carotenoid accumulation and stress tolerance in crops through molecular design.
Natural variants can significantly improve growth traits in livestock and serve as safe targets for gene editing, thus being applied in animal molecular design breeding. However, such safe and large-effect mutations are severely lacking. Using ancestral recombination graphs, we investigated recent selection signatures in beef cattle breeds, pinpointing sweep-driving variants in the LCORL and STC2 loci with notable effects on body size and growth rate. The ACT-to-A frameshift mutation in LCORL occurs mainly in central-European cattle, and stimulates growth. Remarkably, convergent truncating mutations were also found in commercial breeds of sheep, goats, pigs, horses, dogs, rabbits, and chickens. In the STC2 gene, we identified a missense mutation (A60P) located within the conserved region across vertebrates. We validated the two natural mutations in gene-edited mouse models, where both variants in homozygous carriers significantly increase the average weight by 11%. Our findings provide insights into a seemingly recurring gene target of body size enhancing truncating mutations across domesticated species, and offer valuable targets for gene editing-based breeding in animals.
Natural products (NPs) remain a cornerstone of modern drug discovery, offering stereochemical complexity and diverse bioactivities that precisely modulate therapeutic targets, refined through billions of years of evolution. However, their research has long been hindered by inefficient, empirical workflows, high resource consumption, structural complexity, and the "multicomponent, multi-target" nature of their mechanisms. The exponential growth of genomic, metabolomic, and spectral data has overwhelmed conventional analytical methods, exposing critical bottlenecks in handling high-dimensional, heterogeneous datasets that exceed human interpretive capacity. Artificial intelligence (AI) is emerging as a transformative paradigm to address these challenges, integrating multi-omics and chemical data to shift NP research from fragmented empiricism toward mechanism-driven, precision-oriented development. By leveraging deep learning architectures- including graph neural networks, Transformers, and diffusion-based generative models-AI enables systematic decoding of NP biosynthesis, automated structure elucidation, rational target identification, knowledge extraction from vast unstructured scientific literature, and de novo molecular design. This review comprehensively surveys recent advances in AI applications across the full NP discovery and development pipeline, encompassing genome mining, structure-based and ligand-based virtual screening, multimodal structural characterization, lead optimization, and biosynthetic pathway engineering. We further examine the emerging roles of protein-centric, molecule- centric, and multimodal foundation models, as well as large language models, in bridging genotype-to-chemotype gaps and unlocking unstructured scientific knowledge. Finally, we discuss critical challenges including data scarcity, representational limitations for complex stereochemistry, physical plausibility in generative models, and the urgent need for experimental validation, while outlining future directions toward autonomous experimentation, closed-loop optimization, and human-AI collaborative discovery.
OBJECTIVE: To test the hypothesis that the hydatid parasite infecting macropods and dingoes in Queensland is a sylvatic strain of Echinococcus granulosus, distinct from the domestic strain which produces cysts in sheep and humans. DESIGN: Molecular biological techniques were used to compare DNA isolated from hydatid cysts from humans, local macropods and sheep from New South Wales and the United Kingdom, as well as from adult tapeworms in dingoes. SETTING: The human cysts were surgically resected from two patients seen with hydatidosis in Brisbane teaching hospitals over a one-year period. Neither patient had had previous contact with sheep farms. Macropods and dingoes were shot randomly in the localities where the patients presumably acquired their infections. Sheep liver cysts were obtained from abattoirs. METHODOLOGY: Studies comprised extraction of DNA from cysts, digestion by a series of restriction endonucleases, slab gel electrophoresis. Southern blotting and then hybridisation with defined DNA probes. Polymerase chain reaction, in combination with direct DNA sequencing, was used to compare DNA from cysts and adult worms from dingoes. RESULTS: The restriction fragment length polymorphism (RFLP) patterns of DNA from all cysts and a defined mitochondrial DNA sequence from all sources were indistinguishable. This finding is significant as both techniques can clearly distinguish between genetically distinct, well characterised strains of E. granulosus. CONCLUSIONS: Hydatid cysts are prevalent in some macropod populations and adult worms are common in dingoes. Since there are relatively few sheep-rearing areas in Queensland, contact with wild animals may be the main source of human hydatid infection in this State. The strain of E. granulosus in both patients was genetically indistinguishable from that found in macropods, dingoes and sheep from New South Wales and the United Kingdom. This strongly suggests that the domestic strain of E. granulosus, or a form very close genetically, freely infects Australian wildlife, and argues against the existence of a distinct sylvatic strain. The implications for public health are considerable.
Emerging concepts in the aetiology and pathogenesis of Type 1 (insulin-dependent) diabetes mellitus may offer new opportunities for treatment and cure. Here we describe recent advances in structural molecular biology and molecular design relevant to rational drug discovery. Such approaches focus on the three-dimensional structures of macromolecules and their interactions. In the coming decade such techniques may be applied to a wide variety of diabetes-related targets.
Rice diseases continue to undermine yield stability and threaten the sustainability of rice production. The central challenge is therefore not simply to maximize immune activation, but to identify genetic interventions that remain effective across diverse pathogen races and environmental conditions without imposing excessive penalties on growth or yield. Here, we synthesize the molecular basis of rice immunity from a design-oriented perspective. We first examine cell-surface pattern-recognition receptors and intracellular nucleotide-binding leucine-rich repeat receptors, and then assess the shared signaling hubs and defence outputs that connect pathogen perception to antimicrobial responses. Rather than treating these components as equivalent breeding targets, we compare their translational potential according to resistance spectrum, anticipated durability, tunability, pleiotropic risk, and the strength of field evidence. We further discuss breeding strategies based on receptor engineering, editing of susceptibility genes and cis-regulatory elements, post-translational motif engineering, pathogen-inducible and upstream open reading frame-mediated regulation, resistance-gene stacking and artificial intelligence-assisted prediction. We argue that rational resistance design in rice should move beyond constitutive immune activation toward allele-specific, quantitative, spatially restricted and infection-responsive regulation. Integrating mechanistic insights with precision genome editing, accelerated breeding and responsible deployment offers a practical route to durable, yield-compatible disease resistance while reducing dependence on chemical control.
This study exploits molecular physics, in conjunction with a large scale computing environment, as a tool for understanding the clinical phenomenology of phenytoin (PHT) toxicology at a molecular level and for employing this understanding in an attempt to design improved drugs. The application of molecular physics techniques, such as quantum mechanics and molecular force field calculations, to the process of rational anticonvulsant drug design remains virtually unexplored. A 3-step strategy for applying these techniques to the design of an improved PHT molecule is presented. Step 1 employs quantitative structure-activity relationship calculations on 80 PHT analogues to ascertain the portion of the PHT molecule necessary for bioactivity (i.e. the 'bioactive face' of PHT); the N3-C4(O)-C5-R fragment of PHT was identified as the bioactive face. Step 2 employs molecular modelling studies to determine the portion of the PHT molecule necessary for the teratogenic, mutagenic and connective tissue toxicities of PHT (i.e. the 'biotoxic face'); the C2(O)-N3 fragment of PHT was identified as the biotoxic face. Step 3 experiments design an 'improved' PHT analogue, which maintains the bioactive face while eliminating the integrity of the biotoxic face; 2-deoxy-5,5-diphenylhydantoin was designed and synthesized as the improved PHT analogue. This compound had biological activity equivalent to PHT, but was unable to bind to nucleic acids or to chelate metals involved in connective tissue metabolism.
To introduce a rationale in a drug development program the molecular base of the pathological lesion must be carefully considered both for selecting test compounds and to apply the most appropriate assay systems. From the beginning of antitumour drug research the principal aim has always been to select chemical compounds which could selectively inhibit tumour growth. This strategy was in full harmony with the concept that tumours are build up by fast proliferating cells. Research based on this concept has resulted in the development of more than 40 cytostatic agents, which are rather diverse in their chemical properties, but all act on one of the molecular mechanisms participating in cell proliferation. However the unsatisfactory therapeutic responses which could be obtained by the cytostatic agents focused the attention on those molecular events in the tumour cells which may be more closely related to the progression of the malignant disease.
D-1-Amino-2-propanol:NAD+ oxidoreductase activity, which catalyzes the second step in a pathway wherein L-threonine is converted to D-1-amino-2-propanol via the intermediate formation of aminoacetone, has been purified 500-fold from Escherichia coli K-12. Although the enzyme catalyzes the oxidation of certain diols as well as 1-amino-2-propanol, it is completely specific for the D-isomer of the amino alcohol and for NAD+. Two molecular forms (designated Form L and Form S) of the oxidoreductase, both of which are catalytically active, have been separated by gel filtration on Sephadex G-200; apparently, Form L is converted to Form S by dissociation (Form L leads to Form S). Molecular weight determinations indicate that the two forms of the enzyme are different not only in size but also in shape; Form L apparently is an asymmetric tetramer of Form S. The two molecular species have similar catalytic properties. Both exhibit the same pH optimum of 8.6, have nearly identical apparent Km values for substrate and cosubstrate, are equally sensitive to inhibition by p-mercuribenzoate and N-ethylmaleimide, and show the same specificity for cosubstrate. Neither form of the enzyme has an absolute requirement for added thiol compounds or divalent metal ions.