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ISSN: 1570-1808
e-ISSN: 1875-628X

Artificial intelligence and machine learning in drug discovery: From lead discovery to clinical validation (2020–2025)

Artificial intelligence (AI) and machine learning (ML) are fundamentally changing the small-molecule drug discovery process, primarily by moving the workflow from being empirically screened to data-driven,...

Alkylating agents in cancer: Current developments

The term cancer is derived from a Latin word “cancrum” which means crabs, and associated with group of disease which is related with cellular malfunctions. It is one of the major causes of death in...

Nanotechnology-enhanced herbal sunscreens: A natural approach to UV protection and skin care

Prolonged exposure to ultraviolet (UV) radiation is a leading cause of several skin-related concerns, including sunburn, premature aging, pigmentation, and even skin cancer. While conventional sunscreens...

An update on the role of inflammation in insulin resistance and islet β cell failure- A crosstalk between immune cells, adipose tissue, cytokines, and oxidative stress

One of the characteristics of type 2 diabetes mellitus (T2DM) is the growing malfunctioning of β-cells and the presence of insulin resistance. The recent literature on this aspect is reviewed in this...

Pharmacological treatment of adolescent depression: Current advances and future perspectives

Adolescent depression is a prevalent and increasingly concerning mental health condition, characterized by persistent low mood, loss of interest, and impaired social functioning. Due to the complexity...

The effects of hydrogen-rich water on gut microbiota and related health outcomes: A systematic review

Hydrogen-rich water (HRW) has emerged as a promising therapeutic intervention due to its antioxidant and anti-inflammatory properties. Recent studies suggest that the ingestion of HRW may alter gut...

Phytochemicals as promising lead compounds for drug discovery: A comprehensive review of mechanisms and pharmacological potentials

Phytochemicals, bioactive compounds derived from medicinal plants, have long contributed to drug discovery by providing diverse chemical scaffolds and broad biological activities. Despite strong preclinical...

Benzimidazole derivatives as anticancer agents: A review of recent literature and structure-activity relationships

The structural diversity and associated biological activities of benzimidazole derivatives have made them attractive to medicinal chemists. Due to diverse biological activities of benzimidazole derivatives,...

Automated detection of breast cancer using machine learning and deep learning models from tabular data

Detection of breast cancer remains an important global health issue, particularly in patients with dense breast tissue. Despite wide use of machine learning for breast cancer diagnosis, many existing...

AI-driven target discovery and clinical development of candidate drugs for idiopathic pulmonary fibrosis: A review

Idiopathic pulmonary fibrosis (IPF) is a chronic lung disease with high mortality and limited treatment options, urgently requiring new therapeutic targets and drug development strategies. In recent...

Phytochemical profiling, antiviral activities, molecular docking, and dynamic simulation of potential Indian medicinal plants against NDV

Newcastle disease remains a major threat to poultry farming, especially in village chickens, causing substantial economic losses estimated at 116,591 metric tons of poultry products annually. Despite...

Indazole, a privileged scaffold: Synthetic strategies, biological potential, and future prospects

Indazole, a bicyclic nitrogen-containing heterocycle formed by the fusion of benzene and pyrazole rings, emerges as a versatile scaffold in drug discovery. Although naturally occurring Indazole alkaloids...

From prediction to design: A machine learning model for de novo bioactive compounds and personalized biotherapeutics

Traditional approaches for identifying and improving bioactive molecules, important for pharmaceutical development, are laborious and inefficient. Therapeutic chemical screening, development, and customization...

Formulation, antimicrobial, and antioxidant effect of anti-acne serum containing extracts of striata scrophularia and rosemary plants

Infectious diseases like acne, caused by bacteria and fungi, are prevalent worldwide. The rise of antibiotic-resistant bacteria has prompted the search for natural alternatives....

Quality by design based analytical (RP-HPLC) method development and validation of coenzyme q10 in single and combination with clomiphene citrate: An extensive review

Analytical Quality by Design (AQbD) has emerged as a rigorous, science-driven framework that supports the development of robust and regulatory-compliant analytical procedures. Its application to RP-HPLC...

Regulation of hyperglycemia in type 2 diabetes mellitus: Insights into current therapeutic pathways

Diabetes mellitus (DM) has emerged as a rapidly growing global health challenge, affecting millions of people worldwide and posing a significant socio-economic burden on healthcare systems in both developing...

The effects of hydrogen-rich water on male fertility and spermatogenesis

Infertility is a significant health issue affecting the population globally, especially in the low- and middle-income countries. Molecular hydrogen (H2) has therapeutic effects that include the ability...

Quality by design-based development and validation of a robust RP-HPLC method for the simultaneous estimation of nirmatrelvir and ritonavir in pharmaceutical formulations

The current research sought to design and evaluate a robust, risk-based HPLC technique for the simultaneous quantification of Nir (Nir) and Ritonavir (Rit) in pharmaceutical formulations, using a Quality...

Formulation and optimization of Kaempferol nanoemulsion-based gel for treating skin erythema using Box-Behnken statistical design

The objective of this study is to develop and characterize Kaempferol (KMF)-loaded nanoemulsion-based gel formulations for the treatment of skin erythema. A Box-Behnken design was utilized to optimize...

Exploring coumarin derivatives as promising Acetylcholinesrtage inhibitors in alzheimer disease: Integrating QSAR, docking, MD simulations, and DFT study

Alzheimer’s disease, a major health concern primarily distressing older population, remains without a cure, with current treatments providing only symptomatic relief. This study focused on identifying...

Network pharmacology and machine learning-driven virtual screening with dynamic simulations of natural compounds for glioblastoma

Glioma progression is driven by dysregulated signaling networks, including CDK4-Cyclin D3, PI3K-Akt, and EGFR pathways....

Scutellaria Baicalensis Georgi: A review on botany, phytoconstituents, and pharmacological activities

Scutellaria baicalensis (Huang-Qin), prominently avowed as Chinese Skullcap, is a traditional herb that has been historically diversified and used culturally in Chinese medicine. The review focused...

Polymer-based nanofibers in biomedicine: Fabrication to therapeutic applications

Nanofibers emerge as a groundbreaking advancement in biomedical and pharmaceutical sciences due to their high surface area-to-volume ratio, porosity, and ability to deliver therapeutic agents in a controlled...

Identification of plant-derived secondary metabolites as potential CDK2 inhibitors against colorectal cancer: Molecular docking, dynamics simulations and DFT study

Colorectal cancer (CRC) ranks as the third most common cancer globally and remains the second leading cause of cancer-related deaths, with an estimated 1.9 million new cases and 0.93 million fatalities...

Structure-based drug designing and pharmacological profiling of Withanolide A as potential EGFR inhibitors for glioblastoma treatment

Glioblastoma (GBM) remains the most aggressive and lethal form of primary brain tumor, characterized by a poor prognosis and limited therapeutic options. Among the molecular targets under investigation,...

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