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American Journal of PharmTech Research

📢 Latest Update:  Call for Papers 2026 — AJPTR Now Accepting Manuscripts for July 2026 | Open Access | Fast Review | Deadline: July 15, 2026

📢 Latest Update:  Call for Papers 2026 — AJPTR Now Accepting Manuscripts for July 2026 | Open Access | Fast Review | Deadline: July 15, 2026

Volume 16, Issue 3 - 2026 (June 2026 Issue 3)

Volume 16 Issue 3 Cover

Issue Details:

Volume 16 Issue 3
Published:Jun 1, 2026

Editorial: June 2026 Issue 3

Welcome to the 2026 issue of American Journal of PharmTech Research. This issue showcases the remarkable breadth and depth of contemporary research across multiple disciplines. From cutting-edge applications of machine learning in climate science to the revolutionary potential of quantum computing in drug discovery, our featured articles demonstrate the power of interdisciplinary collaboration in addressing global challenges.

We are particularly excited to present research that bridges traditional academic boundaries, reflecting our journal's commitment to fostering innovation through cross-disciplinary dialogue. The integration of artificial intelligence with environmental science, the application of blockchain technology to supply chain management, and the convergence of urban planning with smart city technologies exemplify the transformative potential of collaborative research.

As we continue to navigate an era of rapid technological advancement and global challenges, the research presented in this issue offers both insights and solutions that will shape our future. We thank our authors, reviewers, and editorial board members for their continued dedication to advancing knowledge and promoting scientific excellence.

Dr H J Patel
Editor-in-Chief
American Journal of PharmTech Research

Articles in This Issue

Showing 18 of 18 articles
Research PaperID: AJPTR3160001Pages 1-9

Pharmacokinetic and Pharmacodynamic Interactions between Glimepiride-Metformin Combination and Angiotensin Receptor Blockers: Necessity, Current Evidence and Future Research Directions

Nagaraju B, Anilkumar KV, Samhitha J, Padmavathi GV, Neerajraj GN

Type 2 diabetes mellitus (T2DM) frequently coexists with hypertension, substantially increasing the risk of cardiovascular morbidity, mortality, and progressive renal disease. Contemporary management of these comorbid conditions relies heavily on polypharmacy, with oral antidiabetic drugs and antihypertensive agents prescribed concomitantly for prolonged durations. Among antidiabetic therapies, the fixed-dose combination of glimepiride and metformin remains widely used because it addresses both insulin resistance and impaired insulin secretion. Angiotensin receptor blockers (ARBs) are commonly recommended antihypertensive agents in patients with T2DM due to their established renoprotective and cardioprotective benefits. However, accumulating experimental and clinical evidence suggests that ARBs are not metabolically inert; instead, they may influence glucose homeostasis, insulin sensitivity, and the pharmacokinetic disposition of antidiabetic drugs. These effects raise clinically relevant concerns regarding potential pharmacokinetic and pharmacodynamic interactions when ARBs are co-administered with glimepiride-metformin combinations. Preclinical investigations have demonstrated enhanced hypoglycemic responses when certain ARBs, such as losartan and telmisartan, are combined with glimepiride-metformin, possibly due to synergistic pharmacodynamic actions or alterations in drug metabolism and transport. Telmisartan, in particular, exhibits partial peroxisome proliferator-activated receptor gamma (PPAR-γ) agonist activity, which may confer additional insulin-sensitizing effects. Clinical evidence, however, remains limited and inconsistent, with some studies suggesting modest improvements in glycemic control and others indicating an increased risk of hypoglycemia, especially in regimens containing sulfonylureas. Moreover, most available studies lack integrated pharmacokinetic-pharmacodynamic assessments and fail to reflect chronic real-world combination therapy. This review critically synthesizes current preclinical and clinical evidence on pharmacokinetic and pharmacodynamic interactions between glimepiride-metformin combinations and ARBs. It highlights existing knowledge gaps, underscores the clinical necessity for systematic and ARB specific evaluation, and proposes future research directions aimed at optimizing safety and therapeutic outcomes in patients with coexisting T2DM and hypertension.

Type 2 diabetes mellitusGlimepirideMetforminAngiotensin receptor blockersDrug-drug interactionsPharmacokinetics+3 more
354,599 views
106,431 downloads

Contributors:

 Nagaraju B
,
 Anilkumar KV
,
 Samhitha J
,
 Padmavathi GV
,
 Neerajraj GN
Research PaperID: AJPTR3160002Pages 10-27

Carvedilol Microspheres: A Review of Formulation Strategies, Polymer Applications, and Drug Release Engineering

Anupama Chaturvedi, Deepak Marothia

Among the drugs used in long-term cardiovascular management, carvedilol occupies a special position owing to its combined non-selective beta-blockade and alpha-1 receptor antagonism. However, turning this pharmacological advantage into consistent clinical benefit is not straightforward. The molecule belongs to BCS Class II, meaning it crosses biological membranes readily but barely dissolves in physiological fluids. On top of that, extensive hepatic extraction during the first pass through the liver trims oral bioavailability to somewhere between 25 and 35 percent, and an elimination half-life of only 6 to 10 hours forces patients to take the drug multiple times a day. Together, these characteristics create the conditions for erratic plasma concentrations, missed doses, and avoidable side effects. Encapsulating carvedilol within polymer-matrix microspheres is a strategy with growing experimental support: the polymer network acts as a physical throttle on drug escape, stretching the release window well beyond what any immediate-release tablet can offer. This article brings together evidence published between 2016 and 2025 on how microsphere formulations of carvedilol are built, what polymers are chosen and why, how the finished particles are tested, and what the most informative recent studies have found. Across this body of work, entrapment efficiencies consistently exceed 75 percent when formulation conditions are properly optimised, and release profiles extending to 12 hours or beyond are regularly achieved. Floating, pH-sensitive, and mucoadhesive variants each address specific absorption or tolerability concerns, broadening the design toolbox available to formulators.

carvedilolmicrospherescontrolled-release oral deliveryethyl celluloseHPMCfloating microspheres+3 more
355,077 views
106,561 downloads

Contributors:

 Anupama Chaturvedi
,
 Deepak Marothia
Research PaperID: AJPTR3160003Pages 28-30

Autism spectrum disorder treated with homoeopathy

Dr.Babandeep kaur

Autism is lifelong neurodevelopmental condition characterised by persistent challenges in social communication and interaction, alongside restricted interests an repetitive behaviour

Autismautistic childHomoeopathy
354,963 views
106,599 downloads

Contributors:

 Dr.Babandeep kaur
Research PaperID: AJPTR3160004Pages 31-41

ANALYTICAL METHOD DEVELOPMENT AND VALIDATION FOR DETERMINATION OF LIDOCAINE USING RP-HPLC TECHNIQUES

Sandhya S Ahire, Divyank R. Patil, Sujeetkumar I. Ahire

The objective of this work was Analytical Method Development for Determination of Lidocaine Using HPLC methods which are simple, accurate, precise, specific, sensitive, reproducible and economical methods. Forced degradation is carried out to produce representative samples for developing stability-indicating methods for drug substances and drug products. Lidocaine works by inhibiting sodium ion channels in nerve membranes, which prevents the initiation and conduction of nerve impulses, producing local anesthesia. The result for subjected study was found to be Linearity rang (ug/ml) 20-100, Retention time 6.49/ml,% recovery 99%-101%,correlation coefficient (r²)0.9992, Intraday Precision (%RSD) 0.57, Interday Precision (%RSD)0.43. In summary, the study successfully developed and validated a simple, reliable, and stability-indicating HPLC method for the estimation of Lidocaine.

stability-indicating HPLCLidocaineForced degradationcorrelation coefficientPrecision
354,873 views
106,650 downloads

Contributors:

 Sandhya S Ahire
,
 Divyank R. Patil
,
 Sujeetkumar I. Ahire
Research PaperID: AJPTR3160005Pages 42-52

Reversed-Phase High-Performance Liquid Chromatography (RP-HPLC) Based Analytical Method Development and Validation for Pharmaceutical Dosage Forms: A Comprehensive Review

Lavesh Jain, Hitesh Kothari, Shaziya Yasmeen, Anju Goyal

Liquid chromatography forms the backbone of quality evaluation, regulatory compliance, and safety profiling in the pharmaceutical field. Out of the various available techniques, Reversed-Phase High-Performance Liquid Chromatography (RP-HPLC) is still the most widely used tool to identify and quantify active pharmaceutical ingredients (APIs) and their final dosage forms. This review takes a close look at the basic principles of RP-HPLC and provides a clear, step-by-step guide to developing reliable analytical methods. We practically evaluate key variables that affect separation, such as picking the right stationary phase, choosing suitable mobile phases and buffers, adjusting pH, and selecting the best detection systems. Beyond basic method development, this paper also dives into stability-indicating assays (SIAs) and forced degradation studies. These stress tests are crucial for understanding how drugs break down when exposed to heat, light, acid, base, and oxidation over time. Furthermore, we outline the current method validation requirements dictated by the updated International Council for Harmonization (ICH) Q2(R2) guidelines, breaking down parameters like specificity, linearity, precision, accuracy, detection limits, and robustness. To bridge the gap between traditional practices and modern trends, this review also touches upon the growing shift toward Analytical Quality by Design (AQbD) and Green Analytical Chemistry (GAC). Ultimately, this article aims to serve as a practical and comprehensive guide for laboratory analysts and researchers working in drug formulation and quality control.

Reversed-Phase HPLCMethod ValidationPharmaceutical Dosage FormsStability-Indicating AssayAnalytical Quality by Design (AQbD)Green Analytical Chemistry
355,402 views
106,695 downloads

Contributors:

 Lavesh Jain
,
 Hitesh Kothari
,
 Shaziya Yasmeen
,
 Anju Goyal
Research PaperID: AJPTR3160006Pages 53-63

Agni and Ahara Vidhi in Ayurveda: Bridging Gut Microbiome Science and Preventive Nutrition

Dr.Vikrant Sharma, Dr. Diksha, Dr.Abhinav Rathore, Dr.Sunil Sharma

The increasing prevalence of metabolic disorders, gastrointestinal diseases, immune dysregulation, and lifestyle-related illnesses has intensified global interest in preventive nutrition and gut microbiome research. Ayurveda, the traditional system of Indian medicine, emphasizes the concepts of Agni (digestive and metabolic fire) and Ahara Vidhi (dietary rules and eating practices) as the foundation of health and disease prevention. Classical Ayurvedic texts describe Agni as the central factor governing digestion, absorption, assimilation, tissue nourishment, immunity, and longevity. Disturbance of Agni leads to the formation of Ama (metabolic toxins), which is considered the root cause of many diseases. Similarly, Ahara Vidhi outlines systematic principles regarding food quality, quantity, combinations, timing, environment, and eating behaviour to maintain physiological balance. Recent advances in gut microbiome science reveal that dietary habits profoundly influence microbial diversity, intestinal permeability, immune modulation, metabolic homeostasis, and neuro-gastrointestinal interactions. Emerging evidence suggests significant conceptual parallels between Ayurvedic understanding of gut health and modern microbiota centered nutrition. Practices such as mindful eating, individualized diet planning, seasonal dietary adaptation, and proper food combinations demonstrate potential relevance in maintaining microbial balance and preventing chronic inflammatory disorders. This review aims to critically explore the correlation between Ayurvedic principles of Agni and Ahara Vidhi with current concepts of gut microbiome science and preventive nutrition. The article highlights the integrative potential of Ayurveda in developing personalized, sustainable, and preventive dietary strategies for modern healthcare systems.

AgniAhara VidhiGut MicrobiomePreventive NutritionAyurveda
355,511 views
106,576 downloads

Contributors:

 Dr.Vikrant Sharma
,
 Dr. Diksha
,
 Dr.Abhinav Rathore
,
 Dr.Sunil Sharma
Research PaperID: AJPTR3160007Pages 64-77

Evaluation of Nootropic Activity of Hydroalcoholic Fruit Extract of Annona Reticulata Linn. In Scopolamine induced Cognitive Impairment in Mice

Rajaputana Lakshmi Manisha, Dr. Meesala Gowthami, Dr. K Sumalatha, R Kiran Kumar Reddy, Poluri Sri Samanvitha Reddy, Ponugupati Kamala Sree, Poluri Tejashwini, Rajigani Ravi Kumar

Background: Memory and cognitive decline represent hallmark manifestations of Alzheimer's disease and related neurodegenerative conditions. Current pharmacological management relies predominantly on synthetic cognitive enhancers and cholinesterase inhibitors, whose long-term administration raises concerns regarding tolerability, systemic toxicity, and patient adherence. Consequently, attention has shifted toward plant-derived therapies — particularly those rich in neuroprotective and antioxidant constituents — as more sustainable and well-tolerated options for maintaining brain health. Annona reticulata, a member of the Annonaceae family, has attracted scientific interest owing to its phytochemical complexity and historically documented medicinal applications. Objective: The present investigation aimed to evaluate the cognitive-enhancing potential of the hydroalcoholic fruit extract of Annona reticulata in a scopolamine-induced murine model of cholinergic cognitive impairment. Methods: A total of thirty-six male Wistar mice were randomly allocated into six experimental groups, each comprising six animals. Group I served as the vehicle-treated normal control, while Group II received the reference nootropic, piracetam (400 mg/kg, per oral), administered daily for six consecutive days. Cholinergic cognitive impairment was established in Group III through intraperitoneal administration of scopolamine (1 mg/kg). Groups IV, V, and VI were co-administered scopolamine alongside graded doses of the hydroalcoholic fruit extract at 100, 200, and 400 mg/kg orally, respectively. Spatial learning and memory were evaluated employing the Morris Water Maze paradigm over six days. Following behavioural assessment, hippocampal tissues were harvested and processed for histopathological examination. Data were statistically analysed using one-way and two-way ANOVA, and values were reported as mean ± SEM. Results: Hydroalcoholic fruit extract of Annona reticulata elicited a statistically significant and dose-related amelioration of spatial learning and memory deficits in scopolamine-challenged animals. Extract-treated groups exhibited progressive reductions in escape latency and augmented target quadrant occupancy across training days. At the highest tested dose (400 mg/kg), cognitive performance closely approached that observed in the piracetam reference group, underscoring the extract's potent nootropic efficacy. Conclusion: Collectively, these findings indicate that Annona reticulata fruit extract harbours appreciable cognitive-enhancing and neuroprotective capabilities. The extract warrants further mechanistic and translational investigation to delineate its precise mode of action and validate its therapeutic applicability in cognitive dysfunction disorders.

Annona reticulataNootropic activityCognitive impairmentScopolamineMorris water mazeNeuroprotection.
355,597 views
106,720 downloads

Contributors:

 Rajaputana Lakshmi Manisha
,
 Dr. Meesala Gowthami
,
 Dr. K Sumalatha
,
 R Kiran Kumar Reddy
,
 Poluri Sri Samanvitha Reddy
,
 Ponugupati Kamala Sree
,
 Poluri Tejashwini
,
 Rajigani Ravi Kumar
Research PaperID: AJPTR3160008Pages 78-95

3D Printing of Bilayer Tablets: A Comprehensive Review of Technologies, Formulations, and Applications

Grace Rathnam, Rahul M

Bilayer tablets represent an advanced oral dosage form enabling the combination of two distinct drug layers within a single unit, facilitating improved drug delivery, reduced dosing frequency, and enhanced patient compliance. Conventional manufacturing of bilayer tablets by compression faces significant challenges, including cross-contamination, layer delamination, and limited design flexibility. Three-dimensional (3D) printing has emerged as a transformative technology in pharmaceutical manufacturing, offering unprecedented control over tablet geometry, drug loading, and release kinetics. This review comprehensively examines the application of 3D printing technologies, Fused Deposition Modelling (FDM), Selective Laser Sintering (SLS), and Semi-Solid Extrusion (SSE) — for the fabrication of 3D printing bilayer tablets. Key topics addressed include: the operating principles and comparative advantages of each technique; polymers and excipients employed in 3D-printed bilayer formulations; clinical applications across tuberculosis management cardiovascular, pain management, and respiratory indications; and future perspectives including artificial intelligence-assisted formulation design and continuous manufacturing integration. 3D printing offers a compelling pathway toward personalized, on-demand pharmaceutical manufacturing of complex bilayer dosage forms.

3D printingbilayer tabletsfused deposition modellingselective laser sinteringsemi-solid extrusionpersonalized medicine+1 more
355,666 views
106,695 downloads

Contributors:

 Grace Rathnam
,
 Rahul M
Research PaperID: AJPTR3160009Pages 97-103

FORMULATION AND EVALUATION OF HERBAL MOSQUITO CREAM FROM GRAPEFRUIT PEEL EXTRACT

FMITH CELVIA MIRANDA

Mosquito-borne infections, such as malaria and dengue, are a profound cause of illness and death in many countries. Personal protection against mosquitoes using repellents could be a useful method to reduce or prevent transmission of mosquito-borne diseases. However, due to the objectionable side effects and toxicity associated with synthetic repellents, an urge for developing natural repellents has come forward. The peel of citrus fruits has been reported to have excellent mosquito repellent properties. Hence, we aimed to develop a non-toxic, stable, and consistent cream using the peel extract of Citrus Paradisi. The cream was prepared and characterized based on sensory evaluation and consistency in terms of texture, greasiness, consistency, and pH. The present study concluded that the formulated mosquito repellent cream using essential oil is natural, safe, effective, and usable for the skin to afford mosquito repellent action. This herbal cream offers a promising alternative to marketed synthetic products.

MalariaToxicityNatural RepellentsCitrus Paradisi.
355,660 views
106,725 downloads

Contributors:

 FMITH CELVIA MIRANDA
Research PaperID: AJPTR3160010Pages 104-124

A Review on Exosome Based Drug Delivery System

Dr. Shashikant Sudarshan Upadhye, Nasruddin Rafik Inamdar, Deepa Shivaji Yadav, Dr. Yuvraj Dilip Dange, Dr. Mahesh Govind Saralaya

Because of their natural origin, superior biocompatibility, and inherent capacity to facilitate intercellular communication, exosome-based drug delivery systems have become a new and promising platform in nanomedicine. Extracellular vesicles [30 to 150 nm] called exosomes are released by almost every type of cell and can be found in a variety of bodily fluids, such as urine, saliva, and blood. They transport a complex cargo of lipids, proteins, and genetic elements like miRNA and mRNA transcripts, which are essential for controlling biological and disease-related processes. These biological vesicles have distinct benefits over manufactured nanoparticles, such as their high stability, minimal immunogenicity, effective cellular absorption, and capacity to pass through biological membranes that provide protection. Exosomes have drawn a lot of attention lately as natural carriers of therapeutic molecules, like as proteins, nucleic acids, and tiny medicines, for the treatment of diseases like cancer, neurological disorders, and cardiovascular disorders. Exosomes' targeting effectiveness and therapeutic potential have been improved by sophisticated methods in exosome extraction, purification, and engineering, including as surface modification and cargo loading. All things considered, exosome-based drug delivery systems offer a state-of-the-art, biocompatible, and adaptable approach to precise, targeted, and customized therapy in contemporary biomedical research. Current review focuses on types of exosomes, the biology and biogenesis of exosomes, isolation and characterization of exosomes.

ExosomesIsolationCharacterizationBiogenesis.
356,062 views
106,719 downloads

Contributors:

 Dr. Shashikant Sudarshan Upadhye
,
 Nasruddin Rafik Inamdar
,
 Deepa Shivaji Yadav
,
 Dr. Yuvraj Dilip Dange
,
 Dr. Mahesh Govind Saralaya
Research PaperID: AJPTR3160011Pages 125-138

Control Drug Delivery System – Recent Technological Developments

Sunisha Kulkarni

The abstract presents an overview of advancements in drug delivery systems, focusing on the evolution from conventional methods (like tablets, capsules, and syrups) to more sophisticated controlled delivery approaches. It emphasizes the limitations of traditional drug delivery, including poor bioavailability, inconsistent drug levels in the body, and the inability to sustain therapeutic effects. These shortcomings can make treatments less effective and potentially unsafe. To address these issues, controlled drug delivery systems (CDDS) have been developed, which allow for precise and sustained release of medication at targeted sites. Over the past two decades, these systems have evolved significantly; incorporating innovations at both the macro and nano scales, and now include intelligent systems that can respond to stimuli for targeted drug delivery. Artificial intelligence (AI) has emerged as a powerful tool to revolutionize the healthcare sector, including drug delivery and development. This review explores the current and future applications of AI in the pharmaceutical industry, focusing on drug delivery and development. It provides a comprehensive overview of AI's potential to transform the pharmaceutical industry and improve patient care while identifying further research and development areas. It also covers the fundamental aspects of drug delivery, exploring the pharmacokinetics involved, limitations of conventional methods, and the design and classification of CDDS. It also delves into cutting-edge topics such as nano-drug delivery, targeted therapy, and the use of smart biomaterials, concluding with a discussion of current challenges and future research directions in the field.

Artificial intelligence (AI)nano-drug deliverysmart biomaterials
355,742 views
106,790 downloads

Contributors:

 Sunisha Kulkarni
Research PaperID: AJPTR3160012Pages 139-173

Network pharmacology and molecular docking to elucidate the potential mechanism of Fernandoa adenophylla against oxidative stress-mediated nephroprotection

Neha Chauhan, Rajkiran ajkiran, Kaushal khatana, Ashutosh Upadhayay, Arun Garg, Yogendra Singh

Oxidative stress is a central pathomechanism in chronic kidney disease (CKD), yet the nephroprotective potential of Fernandoa adenophylla (Bignoniaceae), a medicinally important tree of South and Southeast Asia, remains mechanistically uncharacterised. This study employed an integrated network pharmacology and molecular docking strategy to systematically elucidate the multi-target mechanism of F. adenophylla against oxidative stress-mediated renal injury. Thirteen phytochemical constituents were retrieved from curated databases and subjected to ADME screening via SwissADME; eight compounds including lapachol, α-lapachone, adenophyllone, peshwaraquinone, ursolic acid, and oleanolic acid met Lipinski’s Rule-of-Five criteria and were retained. Protein targets for these compounds were predicted via SwissTargetPrediction and intersected with 287 oxidative stress nephroprotection disease targets retrieved from GeneCards, OMIM, DisGeNET, and TTD, yielding 53 shared candidate targets. A tripartite Compound–Target–Disease network constructed in Cytoscape identified AKT1, TP53, NFE2L2 (NRF2), KEAP1, CASP3, and MAPK1 as principal hub targets. STRING-based protein–protein interaction analysis and CytoHubba MCC ranking corroborated these hubs, while GO and KEGG enrichment mapped the target set to the PI3K/AKT, apoptosis, NF-κB, and HIF-1α signalling pathways. Molecular docking with AutoDock Vina revealed that adenophyllone exhibited the highest binding affinity for KEAP1 (−8.9 kcal/mol) and lapachol for AKT1 (−8.2 kcal/mol). These interactions were further validated by 100 ns GROMACS molecular dynamics simulations demonstrating stable RMSD profiles, sustained hydrogen-bond occupancy, and favourable MM-PBSA binding free energies. Collectively, these results indicate that F. adenophylla likely exerts nephroprotection through coordinated modulation of the KEAP1/NRF2 antioxidant axis, the AKT1/TP53/CASP3 survival–apoptosis axis, and the MAPK1/TNF inflammatory–oxidative crosstalk axis, providing a rational computational foundation for in-vitro and in-vivo experimental validation.

Fernandoa adenophyllanetwork pharmacologymolecular dockingoxidative stress nephroprotectionNRF2AKT1+1 more
356,032 views
106,782 downloads

Contributors:

 Neha Chauhan
,
 Rajkiran ajkiran
,
 Kaushal khatana
,
 Ashutosh Upadhayay
,
 Arun Garg
,
 Yogendra Singh
Research PaperID: AJPTR3160013Pages 174-183

Medicinal Importance of Nitrogen and Sulphur Containing Heterocycles in the Development of Anticancer Medicine: A Review

Shende A G, Ghodile N G, Kolhe S V

Breast and cervical cancers remain one of those significant global health challenges and are among the leading causes of mortality in women. Chalcone derivatives have attracted considerable attention owing to their diverse pharmacological properties, particularly their potential anticancer activity. In addition, the cytotoxicity evaluation against normal human cells indicated relatively low toxicity, highlighting the therapeutic potential and selectivity of these compounds. Collectively, in previous study [1] the results suggest that Chalcone represent promising lead candidates for the development of anticancer agents, while the MAOS methodology offers an efficient, high-yielding, and environmentally benign synthetic strategy consistent with green chemistry principles.

AntidermalAnticancerAntimicrobial ScreeningHeterocyclic compound
356,069 views
106,832 downloads

Contributors:

 Shende A G
,
 Ghodile N G
,
 Kolhe S V
Research PaperID: AJPTR3160014Pages 184-195

Role of Artificial Intelligence in Drug Discovery and Repurposing: A Comprehensive Review

Sunisha Kulkarni, Dwivedi S, Rajoriya H, Sen K, Subhash, Paw VS

Drug discovery is one of the most resource-intensive endeavours in modern science, requiring over 12 years and USD 2.6 billion on average to bring a single drug to market, with a clinical failure rate exceeding 90%. Artificial Intelligence (AI) is fundamentally transforming this process. This review examines how AI technologies — including machine learning, deep learning, graph neural networks, generative models, and natural language processing — are being applied across every stage of the drug discovery pipeline, with particular focus on drug repurposing. Key real-world case studies are analysed, including DeepMind’s AlphaFold2, which predicted over 200 million protein structures; Insilico Medicine’s AI-designed pulmonary fibrosis candidate developed in approximately 30 months; and BenevolentAI’s identification of baricitinib as an FDA-approved COVID-19 treatment. Advantages including accelerated timelines and improved molecular design are considered alongside persistent limitations in data quality, model interpretability, and regulatory frameworks. The review concludes with implications for pharmacy education and future directions including foundation models, multimodal AI, and quantum-enhanced simulation.

AINew technologydrug delivery
356,508 views
107,015 downloads

Contributors:

 Sunisha Kulkarni
,
 Dwivedi S
,
 Rajoriya H
,
 Sen K
,
 Subhash
,
 Paw VS
Research PaperID: AJPTR3160015Pages 196-218

A comprehensive overview of microemulsions innovations through artificial neural network approaches

Anchal Puri, Monika Devi

Microemulsions are multifunctional complex colloidal dispersed systems with widely utilized applications in drug delivery systems and chemical engineering. The interwoven relationship within their compositional variables, like surfactants, oil-to-water ratios, and co-surfactant type, leads to highly nonlinear phase behaviors that are difficult to analyze using traditional empirical or mechanistic models. This narrative review mainly focuses on the emerging role of artificial neural networks (ANNs) in optimizing microemulsion systems. Initially, the current study contextualizes the physicochemical factors of microemulsions and identifies their computational bottlenecks in formulation and phase behavior predictions. The review then analyses the relevant neural network structures, including feed forward networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs), for assessing their applicability to high-dimensional regression and classification and, furthermore, to reduce experimental load in microemulsion research. One of the advancements of using ANN is that it can identify the ideal concentration of excipients for the desirable properties of emulsion. Case studies are addressed wherein neural networks have been tutored on experimental and simulated datasets to estimate the droplet size distribution, construct pseudo-ternary phase diagrams, and identify optimal formulation properties. In addition to that, emphasis is applied to model structural design, feature selection strategies, and model validation techniques. The study also considers the current obstacles, such as paucity of data availability, over-fitting, and the integration of expertise knowledge in the learning models. Looking forward to the next context, this review illustrates that artificial neural network-based approaches provide a scalable and adaptable computational framework for boosting innovation in microemulsion science.

MicroemulsionsANN (Artificial Neural Networks)Formulation OptimizationData-driven modelsPhase behavior.
357,190 views
107,191 downloads

Contributors:

 Anchal Puri
,
 Monika Devi
Research PaperID: AJPTR3160016Pages 219-230

Phytochemical Screening and Evaluation of Banyan Tree (Ficus benghalensis) Aerial Root Extract for Anti-Inflammatory Activity in Gingivitis

Amrita Bharti, Dr. Rishikesh Sharma

The aerial root of the Banyan Tree was tested and assessed for its anti-inflammatory effects in the case of Gingivitis.The collection and identification of the plant material involved gathering the main aerial parts of the Banyan tree from a local area.The outer surface of the aerial root of *Ficus benghalensis* is gray in color, while the cut surface is reddish-brown and rough, with longitudinal and transverse cracks, as well as rows of lenticels.The fracture surface shows a fibrous, tough bark, and the wood portion is short.The anatomy of the roots showed a well-defined secondary growth pattern.The physiochemical properties of *Ficus benghalensis* were analyzed, including loss on drying, ash values, and extractive values.The aqueous extract was found to contain flavonoids, phenolics, saponins, proteins, and carbohydrates.The total alkaloid content was calculated in terms of atropine equivalent (mg/100mg) based on a calibration curve.The total flavonoid content in the test samples was determined using a calibration plot (Y = 0.0162x + 0.0044, R² = 0.999) and expressed as milligrams of quercetin equivalent (QE) per gram of dried plant material.Group III, which received the extract (EMM) at a dose of 400 mg/kg from the aerial roots of *Ficus benghalensis*, showed a higher percentage of paw edema inhibition compared to Group II (ESM) and Group IV (EDM) that received other extracts of the same plant.However, both groups treated with the extract exhibited lower anti-inflammatory activity than the positive control.

GingivitisArial rootPhytochemicalPharmacologicalBanyan TreeAnti-inflammatory+1 more
356,607 views
107,082 downloads

Contributors:

 Amrita Bharti
,
 Dr. Rishikesh Sharma
Research PaperID: AJPTR3160017Pages 231-244

A Comprehensive Review On Polyherbal Syrup Formulation Containing Rauvolfia serpentina (Sarpagandha) and Ocimum sanctum (Tulsi)

Dr. Arati Tamta, Pareena Saini

Ayurveda, one of the world's oldest systems of medicine, is founded on the principle of polyherbalism, which involves the therapeutic combination of multiple medicinal plants to produce synergistic effects greater than those achieved by individual herbs. This concept, described in the Sarangdhar Samhita (1300 A.D.) and supported by modern pharmacological studies, serves as the basis for the present polyherbal formulation. The current review focuses on the formulation and evaluation of a polyherbal syrup containing Rauvolfia serpentina (Sarpagandha) and Ocimum sanctum (Tulsi). Rauvolfia serpentina (Family: Apocynaceae) is widely recognized for its antihypertensive, sedative, tranquilizing, and antipsychotic properties. These therapeutic effects are primarily attributed to indole alkaloids, especially reserpine, which acts through irreversible inhibition of Vesicular Monoamine Transporter-2 (VMAT-2). Ocimum sanctum (Family: Lamiaceae), commonly known as Tulsi and revered as a “Rasayana” herb in Ayurveda, possesses antioxidant, anti-inflammatory, antimicrobial, immunomodulatory, and adaptogenic activities due to the presence of bioactive constituents such as eugenol, ursolic acid, rosmarinic acid, and flavonoids. The polyherbal syrup was prepared using the maceration method with sucrose, glycerin, sodium benzoate, citric acid, and distilled water as excipients. Syrup was selected as the dosage form because of its ease of administration, improved patient compliance, flexible dosing, rapid absorption, and suitability for individuals of all age groups. The formulated syrup was evaluated for various physicochemical and microbiological parameters, including pH, viscosity, specific gravity, organoleptic characteristics, microbial safety, and stability. The pH of the formulation was found to be 5.5, and all evaluation parameters complied with the standards prescribed by the World Health Organization (WHO) and the Indian Pharmacopoeia. The findings suggest that the polyherbal syrup exhibits synergistic antihypertensive, antioxidant, immunomodulatory, and adaptogenic effects. Therefore, it may serve as a safe, effective, and cost-efficient therapeutic option for the management of hypertension, stress-related disorders, and immune dysfunction. This formulation represents a successful integration of traditional Ayurvedic knowledge with modern pharmaceutical science, highlighting the potential of polyherbal medicines in contemporary healthcare. Keywords: Ayurveda, Polyherbalism, Rauvolfia serpentina, Ocimum sanctum, Reserpine, Eugenol, Polyherbal Formulation, Antihypertensive, Adaptogenic, Synergism, Herbal Syrup

AyurvedaPolyherbalismRauvolfia serpentinaOcimum sanctumReserpineEugenol+5 more
356,806 views
107,039 downloads

Contributors:

 Dr. Arati Tamta
,
 Pareena Saini
Research PaperID: AJPTR3160018Pages 245-254

Development and Evaluation of Sustained Release Carvedilol Microspheres Prepared by Ionotropic Gelation Technique

Anupama Chaturvedi, Deepak Marothia

Cardiovascular disorders require long-term treatment and continuous medication adherence to achieve effective disease management. Carvedilol is an important antihypertensive and cardioprotective drug widely used in the treatment of hypertension and heart failure. However, its therapeutic performance may be affected by poor aqueous solubility, extensive first-pass metabolism, and limited oral bioavailability. These challenges highlight the need for a drug delivery system capable of providing prolonged drug release and maintaining therapeutic drug levels for an extended period. The present study focused on the development of Carvedilol-loaded microspheres using the ionotropic gelation technique. Sodium alginate was selected as the polymeric carrier because of its biocompatibility, biodegradability, and gel-forming ability in the presence of calcium ions. Microspheres were prepared by ionic cross-linking and subsequently evaluated for their physicochemical and release characteristics. Various parameters, including percentage yield, particle size, drug entrapment efficiency, flow properties, and in vitro drug release, were assessed to determine the suitability of the developed formulations. The prepared microspheres demonstrated satisfactory formulation characteristics with effective drug incorporation and controlled-release behavior. Drug release was prolonged due to the formation of a cross-linked polymeric matrix, indicating the potential of the system to sustain drug delivery over an extended period. The optimized formulation exhibited desirable pharmaceutical properties and a release profile suitable for sustained therapeutic action. The study demonstrates that ionotropically gelled Carvedilol microspheres can be successfully developed as a sustained-release delivery system. Such a formulation may contribute to improved therapeutic effectiveness, reduced dosing frequency, and enhanced patient convenience during long-term cardiovascular therapy.

CarvedilolMicrospheresIonotropic GelationSodium AlginateSustained ReleaseControlled Drug Delivery
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Contributors:

 Anupama Chaturvedi
,
 Deepak Marothia
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