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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...

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...

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...

Spray on science: Revolutionizing topical drug delivery with film-forming systems

Film-forming sprays (FFS) have emerged as advanced topical and transdermal drug delivery systems offering improved drug retention, enhanced bioavailability, and better patient compliance compared to...

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...

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,...

Unravelling various genetic and molecular targets of prostate cancer: Mechanisms of progression, resistance, and emerging therapeutic strategies

Prostate Cancer (PC) has emerged as a significant contributor to male mortality in Western countries, ranking fifth globally among male cancer-related causes of death. Prostate cancer is the second...

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...

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...

Ligand-based pharmacophore modelling, molecular docking, and molecular dynamic studies of VEGFR2 inhibitors

Vascular endothelial growth factor receptor-2 (VEGFR-2) is one of the main factors that facilitate the formation of new blood vessels in tumours and has been recognized as a target for treatment of...

Human microbiome-driven antimicrobial resistance: Biological mechanisms, pharmacological considerations and next-generation therapeutic prospects

Antimicrobial resistance (AMR) remains a serious global health challenge, threatening the effectiveness of existing antimicrobial therapies. Although resistance has traditionally been linked to antibiotic...

The evolving role of novel anesthetic agents for obstetric and gynecological anesthesia: The multidimensional value from esketamine to dexmedetomidine

Obstetric and gynecological anesthesia requires a delicate balance between maternal safety and fetal/neonatal health. Traditional anesthetic methods have limitations in analgesic efficacy, physiological...

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...

Computational strategies for drug discovery in neurodegeneration: Targeting Alzheimer’s and Parkinson’s disease

Neurodegenerative diseases such as Alzheimer’s and Parkinson’s remain among the most pressing global health challenges, with more than 50 million people affected worldwide and no curative therapies...

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,...

Computational identification of novel DPP-4 inhibitors based on QSAR modeling, molecular docking, and molecular dynamics simulations

Dipeptidyl peptidase-4 (DPP-4) inhibitors are important therapeutic agents for type 2 diabetes mellitus, and their efficacy depends on effective inhibition of DPP-4 enzymatic activity....

Organoid models in lung cancer research: A multidimensional perspective from basic biology to precision medicine

Lung cancer ranks among the most common and deadly malignancies worldwide. Its treatment and research face major obstacles due to tumor heterogeneity and the challenges of personalized therapy. Patient-derived...

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...

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...

EGFR-targeted chalcone derivatives: A rational design using integrated 3D-QSAR, docking, and ADMET analysis

Chalcone derivatives exhibit diverse biological activities, including anticancer effects, while Epidermal Growth Factor Receptor (EGFR) is a key therapeutic target requiring novel inhibitors with improved...

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...

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....

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