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At least 19 recordsLinked to original sources
PubMed2026

The Computational Revolution in Natural Product Research: A Data-Driven Roadmap for Next-Generation Drug Development.

Natural products (NPs) have historically provided the foundational scaffolds for drug development, yet traditional bioprospecting faces critical limitations: high rediscovery rates, laborious isolation workflows, and substantial attrition during clinical translation. The emergence of big data technologies is fundamentally transforming this landscape, enabling a shift from serendipity-based discovery toward systematic, data-driven approaches. This review examines how the integration of artificial intelligence (AI), machine learning (ML), and multi-omics datasets is accelerating natural product research across three key domains: (1) genome mining for biosynthetic gene cluster identification using platforms such as antiSMASH, (2) cheminformatics-driven prediction of structure-activity relationships and ADMET properties, and (3) metabolomics-guided dereplication to prioritize novel bioactive scaffolds. We evaluate the convergence of genomics, metabolomics, and computational chemistry in enabling in silico lead optimization and the discovery of cryptic metabolites from previously inaccessible microbial taxa. While challenges in data standardization and scalability persist, the synergy between big data and NP research is accelerating clinical translation. Despite persistent challenges in data standardization, scalability, and equitable benefit-sharing, the convergence of big data and NP research is poised to redefine drug development. These advances position computational NP research as a cornerstone of next-generation drug development.

big data analytics↗
PubMed1977

Animal models in drug development: historical aspects.

The historical aspects of drug development and evaluation are anecdotically related. Clinical trials have proven the effectiveness of animal tests in the vast majority of cases, and the effort has been well spent. Similar of more noteworthy success may be obtainable with model systems in the study of prostatic cancer.

Animals↗
PubMed1978

Selected animal models for systematic antiatherosclerotic drug development.

We have developed an integrated system for antiatherosclerosis drug development utilizing rats, SEA quail, and cynomolgus monkeys as animal models. In general, the way the system is presently functioning is that thousands of compounds per year are randomly screened for hypobeta- or hyperalphalipoproteinemic activity in rats, and hundreds of compounds per year are screened in SEA quail for antiatherosclerotic and hypocholesterolaric activity. A few selected compounds that have activity in both rats and quail are then tested for lipoprotein modifying activity in cynomolgus monkeys. Nontoxic compounds having very good lipoprotein modifying activity in the monkey will then be recommended for clinical trials in man. We do not anticipate that this battery of testing will guarantee activity in man, but are hoping that it will at least increase the probability for finding a truly effective antiatherosclerotic drug to control the human disease.

Animals↗
PubMed1979

Using bibliometric analyses of patent literature for predicting the clinical fates of developing drugs.

Certain bibliometric features of the early literatures of developing drugs can be used to predict their ultimate clinical fates. The chronological sequence of publications is expressed as a binary vector with 1 for a patent and 0 for a nonpatent. The decimal equivalents for standardized vector lengths provide scalar values for comparing one drug with another. In order to incorporate concordant patents, fuzzy subsets are employed, with the number of attempts required to achieve transitive closure being the values for comparison. The methods involved are described using minoxidil as an example.

Bibliographies as Topic↗
PubMed2026

Structural biology of the dengue virus NS2B-NS3 protease as a target for antiviral drug development.

Dengue is the most common global problem in recent times, particularly in tropical and subtropical areas, yet antivirals for therapy or prophylaxis are lacking. Millions of people are affected by this dengue virus, but no proper medication is available yet to cure this disease. One polyprotein that is encoded by the DENV genome is converted into structural and non-structural proteins that are necessary for viral pathogenesis and replication. Among these, the non-structural protein complex NS2B-NS3 is essential for viral polyprotein processing, replication, and host innate immune response control. It acts as a trypsin-like serine protease. The NS2B/NS3 protease is a key enzyme involved in viral replication and serves as a major target for drug development against the dengue virus. The NS3 protease has a conserved catalytic triad (His-Asp-Ser), whereas NS2B serves as an essential cofactor that stabilizes the active conformation of the enzyme and aids in substrate recognition. By disrupting interferon signalling pathways, the NS2B-NS3 protease not only aids in viral replication but also makes immune evasion easier. The compound that inhibits the action of this enzyme could be pioneering in the antiviral drug discovery process. This article provides a comprehensive overview of the detailed structural information of the viral protease (NS2B/NS3) enzyme with the mechanistic role of this enzyme, and highlights various inhibitors related to the NS2B/NS3 protease. A more thorough comprehension of this protease could facilitate the logical development of potent antiviral medications to prevent dengue infection.

Dengue↗
PubMed2026

The Function of PPARα in Cancer Drug Development: A Promising Target for Cancer Treatment.

Cancer is one of the leading causes of mortality globally. PPAR modulators may hold great potential for the management of cancer patients. PPAR modulators also activate specific transcriptional pathways, regulate immune responses and inflammation, and influence the proliferation of various cancer cell types. In the last decade, emerging evidence has shown that PPARα, a nuclear hormone receptor, can modulate carcinogenesis via exerting effects on one or several characteristic pathological behaviors of cancer. This review summarizes current knowledge of PPARα function in various aspects of cancer development and the modulators that regulate PPARα. Based on the current knowledge, we have discussed the development of a potential modulator targeting PPARα for cancer treatment.

Humans↗
PubMed1977

[The danger of developing drug dependence in adolescents].

The authors, by reference to a number of patients taking higher-than-prescribed doses of tranquilizers, sedatives, and hypnotics, thus becoming addicted to using them as drugs, describe some of the motivations of juveniles to take drugs. Problems associated with habituation to the use of drugs are discussed from sociological, medical, and psychological points of view. Also, attention is drawn to the fact that disturbed secondary structures in both family and personal life as well as certain primary premorbid psychopathological structures may, in principle, lead to drug addiction. The need for early recognition and prophylaxis is pointed out.

Adolescent↗