Pharmaceutical Industry Research Articles

Real-world persistence and adherence to glucagon-like peptide-1 receptor agonists among obese commercially insured adults without diabetes.

In 2014, the US Food and Drug Administration approved the first glucagon-like peptide-1 (GLP-1) receptor agonist product, liraglutide injection, for obesity treatment. Many GLP-1 obesity treatment clinical trials report significant weight loss and medication adherence at more than 85%. Little is known about the real-world GLP-1 obesity treatment adherence, persistence, and switch rates. To measure GLP-1 therapy persistence, adherence, and switch rates in a real-world cohort of members without diabetes using these drugs for obesity treatment. Integrated pharmacy and medical claims data from 16.5 million average monthly commercially insured membership were used to identify obese members without diabetes newly initiating GLP-1 therapy between January 1, 2021, and December 31, 2021. Members were required to be continuously enrolled 1-year before and after the GLP-1 therapy start date and aged 19 years of age or older. Persistence was measured as no greater than or equal to 60-day gap with allowance for GLP-1 switching. Adherence was measured as the proportion of days covered (PDC) and members with a PDC greater than or equal to 80% were considered adherent. GLP-1 product switching was also assessed descriptively. 4,066 commercially insured obese members without diabetes that newly initiated GLP-1 therapy met all study criteria. The mean age was 46 years, and 81% were female. Overall, GLP-1 persistence was 46.3% at 180 days and 32.3% at 1 year. The highest and lowest persistence rates at 1 year were observed for semaglutide (Ozempic) at 47.1% and liraglutide (Saxenda) 19.2%, respectively. Average PDC during the 1-year assessment was 51.0% with 27.2% adherent to therapy and 11.1% switched GLP-1 drugs. This GLP-1 weight loss treatment real-world analysis, among obese individuals without diabetes, found poor 1-year persistence and adherence and low rates of switching between products. These findings will aid in assessing products cost-effectiveness, understanding obesity care management program needs, forecasting future GLP-1 use and cost trends, and negotiating GLP-1 pharmaceutical manufacturer value-based purchasing agreements.

CURRENT TRENDS OF TRAINING SPECIALISTS IN THE PHARMACEUTICAL INDUSTRY THROUGH THE PRISM OF ETHICAL AND PROFESSIONAL STANDARDS

The article focuses attention on the need to research modern trends in the training of pharmaceutical industry specialists through the prism of deontological and professional standards. It was established that the modern system of professional training of future specialists in the pharmaceutical industry was influenced by the changes that the industry underwent after Ukraine gained independence: a significant reduction in the range and volume of production of domestic pharmaceutical products, orientation towards European standards of professional training of specialists, compliance with the ethical principles of the work of pharmaceutical specialists. It is noted that the Code of Ethics of Pharmaceutical Workers of Ukraine became the basic regulatory regulator of pharmacist professional ethics in Ukraine, but the further development of international legislation requires adaptation of the domestic pharmaceutical education system to its requirements. The article analyzes the key normative documents that determine the deontological and professional standards for the training of pharmaceutical industry specialists. Modern trends in the training of specialists in the pharmaceutical industry are defined as: the focus on increasing the prestige of the pharmacist profession, raising its status and improving its image in society; compliance with high standards of professional behavior of pharmaceutical industry specialists; strengthening of patient- and client-oriented professional activity in the field of pharmacy, which meets the modern requirements of deontological and professional standards regarding the transfer of emphasis from subject-object interaction in the specialist-client-patient plane to subject-subject interaction; strengthening the professional autonomy of pharmacists among other specialists of the health care system.

Green perspective on intellectual capital, corporate social responsibility, and competitive advantage: The role of firm performance

Green economy issues can occur both in the external and internal environment of business entities in terms of intellectual capital activities, social responsibility, and competitive advantage. This study aims to examine the relationship between intellectual capital, corporate social responsibility, firm performance, and competitive advantage through the mediating role of firm performance from a green perspective. Data were collected from annual reports accessed through the official Stock Exchange websites in each respective research country. The number of samples used is 60 sample data from pharmaceutical companies in Indonesia, Malaysia, and Singapore. Data analysis is carried out using multiple linear regression, path analysis, and Sobel test. This study shows that green intellectual capital, corporate social responsibility, and firm performance have a significant effect on green competitive advantage. Green intellectual capital and green corporate social responsibility have a significant effect on firm performance. Regarding mediating relationships, the results showed green intellectual capital and corporate social responsibility can increase green competitive advantage through firm performance. This shows that a company manager should pay attention to improving intellectual capital capability and corporate social responsibility because they have been proven to improve firm performance and competitive advantage in the context of green economy issues.

The Reporting of a Disproportionality Analysis for Drug Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Development and Statement.

Disproportionality analyses using reports of suspected adverse drug reactions are the most commonly used quantitative methods for detecting safety signals in pharmacovigilance. However, their methods and results are generally poorly reported in published articles and existing guidelines do not capture the specific features of disproportionality analyses. We here describe the development of a guideline (REporting of A Disproportionality analysis for drUg Safety signal detection using individual case safety reports in PharmacoVigilance [READUS-PV]) for reporting the results of disproportionality analyses in articles and abstracts. We established a group of 34 international experts from universities, the pharmaceutical industry, and regulatory agencies, with expertise in pharmacovigilance, disproportionality analyses, and assessment of safety signals. We followed a three-step process to develop the checklist: (1) an open-text survey to generate a first list of items; (2) an online Delphi method to select and rephrase the most important items; (3) a final online consensus meeting. Among the panel members, 33 experts responded to round 1 and 30 to round 2 of the Delphi and 25 participated to the consensus meeting. Overall, 60 recommendations for the main body of the manuscript and 13 recommendations for the abstracts were retained by participants after the Delphi method. After merging of some items together and the online consensus meeting, the READUS-PV guidelines comprise a checklist of 32 recommendations, in 14 items, for the reporting of disproportionality analyses in the main body text and four items, comprising 12 recommendations, for abstracts. The READUS-PV guidelines will support authors, editors, peer-reviewers, and users of disproportionality analyses using individual case safety report databases. Adopting these guidelines will lead to more transparent, comprehensive, and accurate reporting and interpretation of disproportionality analyses, facilitating the integration with other sources of evidence.

REVITALIZING THERAPEUTICS: DRUG REPURPOSING AS A COST-EFFECTIVE STRATEGY FOR DRUG DEVELOPMENT

The process of developing new drugs is known for being drawn-out, expensive, risky, and having a high attrition rate. Drug repurposing has grown in favor recently as a practical way to speed up the development of new medicines while reducing the costs and time constraints associated with traditional drug research. The description of this study's pharmacological repurposing highlights its promise as a practical method to fill gaps in the market and revitalize treatment options. This review provides a full analysis of the ground-breaking tactic of repurposing medications, supported by numerous cases that demonstrate its revolutionary potential. We examine instances of repurposed drugs, such as thalidomide, sildenafil, and metformin, that have performed astoundingly well in a range of therapeutic settings despite being used outside of their original scope. Overall, the paper's main goal-to study pharmacological repurposing as a potentially successful strategy for revitalizing treatments-is, succinctly summarized in this abstract. It highlights the potential benefits of this approach and how it might be used in the pharmaceutical industry's ongoing quest for more inexpensive and effective medicine development.

Formation of structural holes in R&D context: the effect of inventors’ knowledge abilities and patenting output

Purpose This study aims to investigate the influence of inventors’ abilities to acquire external knowledge, provide broad and professional knowledge and patenting output (i.e. different types of inventors) on the formation of structural holes. Design/methodology/approach The authors collected 59,798 patents applied for and granted in the USA by 33 of the largest firms worldwide in the pharmaceutical industry between 1975 and 2014. A random-effects tobit model was used to test the hypotheses. Findings The inventors’ ability to acquire external knowledge contributes to the formation of structural holes. While inventors’ ability to provide broad knowledge positively affects the formation of structural holes, their ability to provide professional knowledge works otherwise. In addition, key inventors and industrious inventors are more likely to form structural holes than talents. Originality/value The results identify individual factors that affect the formation of structural holes and improve the understanding of structural hole theory. This study is unique in that most scholars have studied the consequences of structural hole formation rather than their antecedents. Studies on the origin of structural holes neglect the effect of inventors’ knowledge abilities and patenting output. By addressing this gap, this study contributes to a more comprehensive theoretical understanding of structural holes. The results can guide managers in managing structural holes in accordance with inventors’ knowledge abilities and patenting outputs, which optimize the allocation of network resources.

AUTOMATION IN ANALYTICAL CHEMISTRY: THE ROLE OF AI IN CHROMATOGRAPHY

Artificial Intelligence (AI) has facilitated significant breakthroughs in drug discovery, the design of materials, and organic synthesis. The advancements in the latter group are especially remarkable due to the abilities of the latest computational methods (molecular design algorithms) that enable the exploration of extensive chemical spaces and enhance research in fields such as predicting molecule properties, designing molecules, retrosynthesis, predicting reaction conditions, and predicting reaction outcomes. A literary review was conducted following PRISMA guidelines. This study aimed to review existing data on the application of AI in separation chromatography. The evolution and utilization of AI in the pharmaceutical industry and its future aspects were articulated in this study. The utilization of AI can completely transform the field of chromatography analysis by facilitating expedited, more precise, and more effective data processing. By automating chromatography analysis, AI can enhance efficiency and minimize the potential for human mistakes. This advancement enables scientists to dedicate their efforts towards addressing intricate and demanding analytical issues. With the evolution of technology and the increasing adoption, we can anticipate more progress in chromatography analysis and analytical chemistry.

Capillary-based, multifunctional manipulation of particles and fluids via focused surface acoustic waves

Surface acoustic wave (SAW)-enabled acoustofluidic technologies have recently attracted increasing attention for applications in biology, chemistry, biophysics, and medicine. Most SAW acoustofluidic devices generate acoustic energy which is then transmitted into custom microfabricated polymer-based channels. There are limited studies on delivering this acoustic energy into convenient commercially-available glass tubes for manipulating particles and fluids. Herein, we have constructed a capillary-based SAW acoustofluidic device for multifunctional fluidic and particle manipulation. This device integrates a converging interdigitated transducer to generate focused SAWs on a piezoelectric chip, as well as a glass capillary that transports particles and fluids. To understand the actuation mechanisms underlying this device, we performed finite element simulations by considering piezoelectric, solid mechanic, and pressure acoustic physics. This experimental study shows that the capillary-based SAW acoustofluidic device can perform multiple functions including enriching particles, patterning particles, transporting particles and fluids, as well as generating droplets with controlled sizes. Given the usefulness of these functions, we expect that this acoustofluidic device can be useful in applications such as pharmaceutical manufacturing, biofabrication, and bioanalysis.

Combined effect of polyelectrolyte assisted interfacial polymerization and tannic acid protective surface modification to boost organic solvent nanofiltration performance

Organic solvent nanofiltration (OSN) is an effective technology for separating solute with molecular weight of 200–1000 Da (Da) from organic solvents. However, as the core of this technology, most of OSN membranes exhibit a low solvent permeance. Herein, a highly permeable OSN membrane was prepared via a poly (sodium 4-styrenesulfonate) (PSSNa)-assisted interfacial polymerization reaction using ultra-low content of aqueous monomer solution, followed by a protective modification using tannic acid (TA) grafting onto the nascent polyamide surface, and a post chemical crosslinking treatment as well as an activation treatment. PSSNa manipulates the diffusion and distribution of the m-Phenylenediamine monomers, leading to a looser and thinner polyamide layer. TA molecules successfully reacted with the remaining acyl chloride groups on the nascent polyamide layer surface and formed ester, thus preventing the surface from subsequent crosslinking reaction and also making the selective layer looser, which is beneficial for solvent permeation. Moreover, the TA modification makes the surface more hydrophilic, thus further helps to improve the solvent permeance of OSN membrane. The optimal membrane possesses an excellent ethanol permeance of 71.5 L m−2 h−1 MPa−1, an increment of 41.6 % as compared with the baseline OSN membrane, while keeping a rejection of 98.2 % for rhodamine B (RDB). Meanwhile, the surface of optimal membrane is ultra-smooth, with an average roughness of 4.4 nm, which is much beneficial for antifouling. Moreover, the OSN membrane possesses a brilliant durability performance, with only a 1.5 % decrease of the RDB rejection after being immersed in N, N-Dimethylformamide (DMF) at room temperature for 115 d, and only a further 0.3 % decrease of the RDB rejection after being further immersed in DMF at 80 °C for another 11 d, indicating its superior solvent resistance, which makes it a promising candidate for treating organic solutions from pharmaceutical and textile industries.

Cistus, Acacia, and Lemon verbena Valorization through Response Surface Methodology: Optimization Studies and Potential Application in the Pharmaceutical and Nutraceutical Industries

Cistus ladanifer L., Acacia dealbata L., and Aloysia citrodora Paláu were subject to an optimization procedure for two extraction techniques (heat-assisted extraction (HAE) and ultrasound-assisted extraction (UAE)). The extracts were then analyzed by HPLC-DAD-ESI/MS for their phenolic profile (cistus—15 compounds, acacia—21 compounds, and lemon verbena—9 compounds). The response surface methodology was applied, considering four varying factors: ethanol percentage; extraction time; temperature/power; and S/L ratio, generating two responses (the major phenolic compound, or family of compounds, and the extraction yield). For cistus, both techniques optimized the extraction yield of punicalagins, with UAE proving to be the most efficient extraction method (3.22% ethanol, 22 min, 171 W, and 35 g/L). For acacia, HAE maximized the extraction of procyanidin (74% ethanol, 86 min, 24 °C, and 50 g/L), and UAE maximized the content of myricetin (65% ethanol, 8 min, 50 W, and 50 g/L). For lemon verbena, HAE favored the extraction of martynoside (13% ethanol, 96 min, 49 °C and 17 g/L) and forsythiaside UAE (94% ethanol, 25 min, 399 W, and 29 g/L). The optimal conditions for the extraction of compounds with high added value and potential for use in pharmaceuticals and nutraceuticals were defined.

Developmental Formulation Principles of Food Preservatives by Nanoencapsulation-Fundamentals, Application, and Challenges.

The role of food additives is to preserve food by extending shelf life and limiting harmful microorganism proliferation. They prevent spoilage by enhancing the taste and safety of food by utilizing beneficial microorganisms and their antimicrobial metabolites. Current advances in food preservation and processing utilize green technology principles for green preservative formulation, enhancing nutrition and supplying essential micronutrients safely, while also improving quality, packaging, and food safety. Encapsulation is gaining attention for its potential to protect delicate materials from oxidative degradation and extend their shelf life, thereby ensuring optimal nutrient uptake. Nanoencapsulation of bioactive compounds has significantly improved the food, pharmaceutical, agriculture, and nutraceutical industries by protecting antioxidants, vitamins, minerals, and essential fatty acids by controlling release and ensuring delivery to specific sites in the human body. This emerging area is crucial for future industrial production, improving the sensory properties of foods like color, taste, and texture. Research on encapsulated bioactive compounds like bacteriocins, LAB, natamycin, polylysine, and bacteriophage is crucial for their potential antioxidant and antimicrobial activities in food applications and the food industry. This paper reviews nanomaterials used as food antimicrobial carriers, including nanoemulsions, nanoliposomes, nanoparticles, and nanofibers, to protect natural food antimicrobials from degradation and improve antimicrobial activity. This review discusses nanoencapsulation techniques for biopreservative agents like nisin, poly lysine, and natamycin, focusing on biologically-derived polymeric nanofibers, nanocarriers, nanoliposomes, and polymer-stabilized metallic nanoparticles. Nanomaterials, in general, improve the dispersibility, stability, and availability of bioactive substances, and this study discusses the controlled release of nanoencapsulated biopreservative agents.

Developing indicators for the social benefits of university-industry collaborations

This paper focuses on the social benefits of university-industry collaborations (UICs) based on the cases of winners of the Industry-Academia Collaboration Prize presented by the UK Royal Society of Chemistry (RSC) (2010–2023). The research question, which concerns the social and environmental benefits of UICs, has received little attention in the literature, as it focuses mainly on their economic effects. Taking the framework approach to thematic analysis, a list of thematic indicators, which serve as benchmark criteria for evaluating the social impact of UICs in medical, pharmaceutical and chemical industries, is developed. The use of a case study to identify indicators via this approach is appropriate for generating in-depth insights into the characteristics of UICs that have considerable societal impacts. Knowledge creation and contribution to training and improved skills levels constitute the main social benefits of UICs in the three industries cited above. Our findings have practical and theoretical implications, as they emphasize the importance of UICs in fulfilling a specific function in society, namely, facilitating research and developing skills that make the world a better place.

COMPLEX GENERICS AS A TREND OF MODERN PHARMACEUTICAL DEVELOPMENT

In the perspective of the pharmaceutical industry development, manufacturers expand their product portfolios by updating generic drugs. Complex Generics (CG) or Nonbiological Generic Drugs (NBGD) contain known pharmaceutical substances are out of patent protection and are made by using new technologies, excipients, nanocarriers, dosage form modernization, etc. These drugs are developed in the patients’ interests to improve their life quality and increase drugs’ efficacy and safety. The article discusses the categories and characteristics of CG, shows examples available on the pharmaceutical market, API and dosage forms. This article discusses approaches to quality control that pose challenges for developers and regulators. The fundamental importance of the innovative drugs manufacturing process and the ingredients standardization in the dosage forms formulations to create the standard product are indicated. First, a comprehensive control of polymers is required as an important tool to make the necessary pharmacokinetics. The influence degree on the API release and the effectiveness of dosage form (DF) depends on the polymer’s physicochemical characteristics. In this regard, it is important to create databases of these excipients accessible to developers containing information about properties, use, dosages and safety. In view of the complexity structure and manufacturing processes of the NBGD and insufficiency of pharmacopeial requirements for standard approaches for resolving issues of comparability and bioequivalence the current regulatory documents should be expanded and revise for a correct quality assessment. There is a need to create new scientific and regulatory roadmaps for the development and approval of complex generic drugs.

Multicriteria decision making attributes and estimation of physicochemical properties of kidney cancer drugs via topological descriptors.

Based on topological descriptors, QSPR analysis is an incredibly helpful statistical method for examining many physical and chemical properties of compounds without demanding costly and time-consuming laboratory tests. Firstly, we discuss and provide research on kidney cancer drugs using topological indices and done partition of the edges of kidney cancer drugs which are based on the degree. Secondly, we examine the attributes of nineteen drugs casodex, eligard, mitoxanrone, rubraca, and zoladex, etc and among others, using linear QSPR model. The study in the article not only demonstrates a good correlation between TIs and physical characteristics with the QSPR model being the most suitable for predicting complexity, enthalpy, molar refractivity, and other factors and a best-fit model is attained in this study. This theoretical approach might benefit chemists and professionals in the pharmaceutical industry to forecast the characteristics of kidney cancer therapies. This leads towards new opportunities to paved the way for drug discovery and the formation of efficient and suitable treatment options in therapeutic targeting. We also employed multicriteria decision making techniques like COPRAS and PROMETHEE-II for ranking of said disease treatment drugs and physicochemical characteristics.

BIOINFORMATICS TOOLS: ESSENTIAL FOR THE DEVELOPMENT AND DISCOVERY OF MEDICINES

Pharmaceutical research and development is a difficult, high-risk, time-consuming, and potentially lucrative process. Pharmaceutical corporations invest millions of dollars to get a medicine to market. A novel medication demands technical competence, human resources, and a large capital commitment. It also requires stringent adherence to laws on testing and manufacturing standards before a new medicine may be used in the general public; in fact, some drugs fail to enter the market. All of these considerations simply raise the expense of researching and developing a novel chemical entity. Bioinformatics/Tools in the drug design process has a favorable impact on the whole process and may speed up different processes of drug design while lowering costs and total time. The current note focuses on bioinformatics' importance in the drug development and research method.

Ginsenoside Rh2 Reduced Neurogenesis Dysfunction to Alleviate Depression-like Behaviour in CSDS-induced Mice

Background: Depression is a mental health disorder with high morbidity and disability rates that has harmful effects on public health worldwide. Despite many hypotheses about its mechanism have been put forward, its deeper mechanism is still unclear. Nowadays, there are many antidepressants developed by pharmaceutical companies, such as fluoxetine, ketamine, and paroxetine used in clinical practice, but the therapeutic effects are not satisfactory, with serious adverse reactions and drug addiction. Objective: Ginsenoside Rh2 (G-Rh2) is one of the major bioactive ginsenosides extracted from Panax ginseng that has been conducted for the treatment of many inflammatory diseases. However, the possible mechanisms of G-Rh2 involved in these neuroprotective effects on neuroinflammation are currently unclear. Methods: We established a CSDS depression model in normal mice, and then the depressive symptoms of mice were evaluated by a series of behavioral testing. Finally, molecular biology experiments were conducted to demonstrate that G-Rh2 had anti-inflammatory and antidepressant effects. Results: We showed that G-Rh2 (30 mg/kg) significantly relieved depressive behavior in mice via attenuating oxidative stress injury and release of proinflammatory cytokines. Moreover, G-Rh2 reduced impaired neurogenesis in the hippocampus of CSDS-induced mice. Conclusion: We demonstrated the anti-inflammatory and antioxidative effects of G-Rh2 to alleviate depression through improved neurogenesis in depressive mice for the first time. What's more, we aimed to verify the protective effects of G-Rh2 on neuroinflammation and provide novel insights for understanding the roles of G-Rh2 in the treatment of depression

DeepAVP-TPPred: identification of antiviral peptides using transformed image-based localized descriptors and binary tree growth algorithm.

Despite the extensive manufacturing of antiviral drugs and vaccination, viral infections continue to be a major human ailment. Antiviral peptides (AVPs) have emerged as potential candidates in the pursuit of novel antiviral drugs. These peptides show vigorous antiviral activity against a diverse range of viruses by targeting different phases of the viral life cycle. Therefore, the accurate prediction of AVPs is an essential yet challenging task. Lately, many machine learning-based approaches have developed for this purpose; however, their limited capabilities in terms of feature engineering, accuracy, and generalization make these methods restricted. In the present study, we aim to develop an efficient machine learning-based approach for the identification of AVPs, referred to as DeepAVP-TPPred, to address the aforementioned problems. First, we extract two new transformed feature sets using our designed image-based feature extraction algorithms and integrate them with an evolutionary information-based feature. Next, these feature sets were optimized using a novel feature selection approach called binary tree growth (BTG) Algorithm. Finally, the optimal feature space from the training dataset was fed to the Deep neural network (DNN) to build the final classification model. The proposed model DeepAVP-TPPred was tested using stringent 5-fold cross-validation and two independent dataset testing methods, which achieved the maximum performance and showed an enhanced efficiency over existing predictors in terms of both accuracy and generalization capabilities. https://github.com/MateeullahKhan/DeepAVP-TPPred. Supplementary data are available at Bioinformatics online.

Pengaruh Biaya Produksi dan Biaya Operasional Terhadap Laba Bersih pada Perusahaan Manufaktur Sub Sektor Farmasi yang Terdaftar di Bursa Efek Indonesia (BEI) Periode 2016-2020

This study was conducted to examine the effect of production costs and operating costs on the net profit of manufacturing companies in the Pharmaceutical Sub-Sector listed on the IDX for the 2016-2020 period. The research sample consists of 7 pharmaceutical sub-sector companies listed on the IDX. Meanwhile, there are 35 total observational data determined by purposive sampling. Annual report data obtained by indo-exchange file (IDX). The technique in collecting data is through documentation. Then the technique for analyzing the data in this study is multiple linear regression using SPSS 25. The study found that production costs showed a significant effect on net income. Likewise, operating costs show a significant effect on net income. Meanwhile, it was simultaneously found that production costs and operating costs significantly affected net income.

Adopting lean product development in new production system introduction process for sustainable operational performance

This research explores adopting the lean product development (LPD) concept in the new production system introduction process (NPSIP) to achieve both pre-launching and post-launching operational performance considering sustainability aspects. An empirical study was conducted in a multi-national pharmaceutical company, having lean practice for over a decade. Two case projects for launching the new production system were followed in retrospect, and data was collected by interviewing experts. In the case company, evidence were found regarding adoption of soft lean practices in the NPSIP, however, lack of adoption of hard lean practices. Several challenges were identified that hinder achieving both pre-launching and post-launching operational performance, which could be mitigated by adopting LPD practices. This paper contributes to the broad lean literature by expanding its implication within the NPSIP context. Additionally, a set of LPD principles and practices is proposed that could be adopted in the NPSIP context. Adopting the LPD principles and practices in the NPSIP, manufacturing companies can launch a new production system faster, and achieve target sustainable operational performance faster, resulting in additional competitive advantage.

Pharmaceutical exports and patents in India – a systems approach

Purpose The Indian pharmaceutical industry currently faces multiple challenges, including rising costs and slowing export growth, which in turn have limited its ability to expand presence in global canvas. Given the nature of sectoral dynamics, a pharmaceutical firm must undertake huge investments in R&D to introduce product innovation, in turn enhancing market share and sustaining profit streams. The development of novel medicines, confirmed by the granting of patent rights, provides a pharma company edge over its competitors. In addition, presence of innovator firms within the industry invigorates the sectoral value chain and raises efficiency. Hence, it is important to analyze whether granting patent rights enhances the exports of pharmaceutical products in the Indian context. Design/methodology/approach The current study explored this question using a simultaneous-equation framework. Specifically, the authors use the methods developed by Davidson and MacKinnon (1993) and Greene (2003) to obtain heteroscedasticity-consistent estimates. The time-series properties of the data were further probed, and robust estimates were used to test the theory. Methods developed by Baltagi (1981) have been used further to refine the authors’ estimations. Findings After controlling for relevant variables, it is observed that granting of patents caused a significantly positive impact on pharmaceutical exports. Furthermore, the change in the patent administration regime had a significant impact on patent fillings, which further impacted their exportability. Compared to patents granted patents filed had a higher impact on pharmaceutical exports. Originality/value This study attempts to apply the framework developed by Goldstein and Khan (1978) with necessary modifications to suit the context of a developing country. The application of the 3SLS method to estimate the export supply equation for pharmaceutical products is a novel approach to the research question in general and to the Indian context in particular. System autocorrelation and heteroscedasticity tests were performed to refine the results further.