scholarly journals Repurposing existing drugs for new uses: a cohort study of the frequency of FDA-granted new indication exclusivities since 1997

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Babak Sahragardjoonegani ◽  
Reed F. Beall ◽  
Aaron S. Kesselheim ◽  
Aidan Hollis
Keyword(s):  
Therapeutic Potential ◽  
Drug Repurposing ◽  
Status Quo ◽  
New Drugs ◽  
Generic Entry ◽  
Small Molecule Drugs ◽  
Clinical Investigations ◽  
Fda Approval ◽  
Limited Duration ◽  
Observation Period

Abstract Background Drug repurposing (i.e., finding novel uses for existing drugs) is essential for maximizing medicines’ therapeutic utility, but obtaining regulatory approval for new indications is costly. Policymakers have therefore created temporary indication-specific market exclusivities to incentivize drug innovators to run new clinical investigations. The effectiveness of these exclusivities is poorly understood. Objective To determine whether generic entry impacts the probability of new indication additions. Methods For a cohort of all new small-molecule drugs approved by the FDA between July 1997 and May 2020, we tracked new indications added for the subset of drugs that experienced generic entry during the observation period and then analyzed how the probability of a new indication changed with the number of years since/to generic entry. Results Of the 197 new drugs that subsequently experienced generic entry, only 64 (32%) had at least one new indication added. The probability of a new indication addition peaked above 4% between 7 and 8 years prior to generic entry and then to dropped to near zero 15 years after FDA approval. We show that the limited duration of exclusivity reduces the number of secondary indications significantly. Conclusion Status quo for most drug innovators is creating novel one-indication products. Despite indication-specific exclusivities, the imminence of generic entry still has a detectable impact on reducing the chances of new indication additions. There is much room for improvement when it comes to incentivizing clinical investigations for new uses and unlocking existing medicines’ full therapeutic potential.

scholarly journals Role of Artificial Intelligence and Machine Learning in Bioinformatics: Drug Discovery and Drug Repurposing

2021 ◽  
Author(s):  
Sameer Quazi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Therapeutic Potential ◽  
Drug Repurposing ◽  
Cost Effective ◽  
New Drugs ◽  
Biomedical Sciences ◽  
Useful Knowledge ◽  
Resolution Imaging ◽  
Potential Activity

Artificial intelligence AI or machine learning has proven to be a potential activity in the health and biomedical sciences. Previous research it has found that AI can learn new data and transform it into the useful knowledge. In the field of pharmacology, the aim is to design more efficient and novel vaccines using this method which are also cost effective. The underlying fact is to predict the molecular mechanism and structure for increased likelihood of developing new drugs. Clinical, electronic and high resolution imaging datasets can be used as inputs to aid the drug development niche. Moreover, the use of comprehensive target activity has been performed for repurposing a drug molecule by extending target profiles of drugs which also include off targets with therapeutic potential providing a new indication.

Recent Advances in Drug Repurposing for Parkinson’s Disease

2019 ◽  
Vol 26 (28) ◽  
pp. 5340-5362 ◽  
Author(s):  
Xin Chen ◽  
Giuseppe Gumina ◽  
Kristopher G. Virga
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Drug Discovery ◽  
De Novo ◽  
Drug Repositioning ◽  
Drug Repurposing ◽  
Cost Effective ◽  
New Drugs ◽  
Recent Advances ◽  
Clinical Drugs

:As a long-term degenerative disorder of the central nervous system that mostly affects older people, Parkinson’s disease is a growing health threat to our ever-aging population. Despite remarkable advances in our understanding of this disease, all therapeutics currently available only act to improve symptoms but cannot stop the disease progression. Therefore, it is essential that more effective drug discovery methods and approaches are developed, validated, and used for the discovery of disease-modifying treatments for Parkinson’s disease. Drug repurposing, also known as drug repositioning, or the process of finding new uses for existing or abandoned pharmaceuticals, has been recognized as a cost-effective and timeefficient way to develop new drugs, being equally promising as de novo drug discovery in the field of neurodegeneration and, more specifically for Parkinson’s disease. The availability of several established libraries of clinical drugs and fast evolvement in disease biology, genomics and bioinformatics has stimulated the momentums of both in silico and activity-based drug repurposing. With the successful clinical introduction of several repurposed drugs for Parkinson’s disease, drug repurposing has now become a robust alternative approach to the discovery and development of novel drugs for this disease. In this review, recent advances in drug repurposing for Parkinson’s disease will be discussed.

scholarly journals Rho-Kinase Inhibitors for the Treatment of Refractory Diabetic Macular Oedema

Cells ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1683
Author(s):  
Milagros Mateos-Olivares ◽  
Luis García-Onrubia ◽  
Fco. Javier Valentín-Bravo ◽  
Rogelio González-Sarmiento ◽  
Maribel Lopez-Galvez ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Macular Oedema ◽  
Standard Therapy ◽  
Vision Loss ◽  
Therapeutic Potential ◽  
Rho Kinase ◽  
Diabetic Macular Oedema ◽  
New Drugs ◽  
Anti Vegf

Diabetic macular oedema (DMO) is one of the leading causes of vision loss associated with diabetic retinopathy (DR). New insights in managing this condition have changed the paradigm in its treatment, with intravitreal injections of antivascular endothelial growth factor (anti-VEGF) having become the standard therapy for DMO worldwide. However, there is no single standard therapy for all patients DMO refractory to anti-VEGF treatment; thus, further investigation is still needed. The key obstacles in developing suitable therapeutics for refractory DMO lie in its complex pathophysiology; therefore, there is an opportunity for further improvements in the progress and applications of new drugs. Previous studies have indicated that Rho-associated kinase (Rho-kinase/ROCK) is an essential molecule in the pathogenesis of DMO. This is why the Rho/ROCK signalling pathway has been proposed as a possible target for new treatments. The present review focuses on the recent progress on the possible role of ROCK and its therapeutic potential in DMO. A systematic literature search was performed, covering the years 1991 to 2021, using the following keywords: “rho-Associated Kinas-es”, “Diabetic Retinopathy”, “Macular Edema”, “Ripasudil”, “Fasudil” and “Netarsudil”. Better insight into the pathological role of Rho-kinase/ROCK may lead to the development of new strategies for refractory DMO treatment and prevention.

scholarly journals Neurobiology of Cancer: Introduction of New Drugs in the Treatment and Prevention of Cancer

2021 ◽  
Vol 22 (11) ◽  
pp. 6115
Author(s):  
Boris Mravec
Keyword(s):  
Nervous System ◽  
Animal Models ◽  
Therapeutic Potential ◽  
Clinical Findings ◽  
New Drugs ◽  
Adrenergic Signaling ◽  
Treatment And Prevention ◽  
Oncological Patients ◽  
Cancer Initiation ◽  
Prevention Of Cancer

Research on the neurobiology of cancer, which lies at the border of neuroscience and oncology, has elucidated the mechanisms and pathways that enable the nervous system to modulate processes associated with cancer initiation and progression. This research has also shown that several drugs which modulate interactions between the nervous system and the tumor micro- and macroenvironments significantly reduced the progression of cancer in animal models. Encouraging results were also provided by prospective clinical trials investigating the effect of drugs that reduce adrenergic signaling on the course of cancer in oncological patients. Moreover, it has been shown that reducing adrenergic signaling might also reduce the incidence of cancer in animal models, as well as in humans. However, even if many experimental and clinical findings have confirmed the preventive and therapeutic potential of drugs that reduce the stimulatory effect of the nervous system on processes related to cancer initiation and progression, several questions remain unanswered. Therefore, the aim of this review is to critically evaluate the efficiency of these drugs and to discuss questions that need to be answered before their introduction into conventional cancer treatment and prevention.

Phytochemical content and potential health applications of pecan [Carya illinoinensis (Wangenh) K. Koch] nutshell

2022 ◽  
Vol 22 ◽  
Author(s):  
Nohemí del C. Reyes-Vázquez ◽  
Laura A. de la Rosa ◽  
Juan Luis Morales-Landa ◽  
Jorge Alberto García-Fajardo ◽  
Miguel Ángel García-Cruz
Keyword(s):  
Therapeutic Potential ◽  
Biological Activities ◽  
Heart Diseases ◽  
Extraction Methods ◽  
New Drugs ◽  
Potential Health ◽  
In Vivo Models ◽  
Phytochemical Content ◽  
Pecan Nutshell

Background: The pecan nutshell contains phytochemicals with various biological activities that are potentially useful in the prevention or treatment of diseases such as cancer, diabetes, and metabolic imbalances associated with heart diseases. Objective: To update this topic by means of a literature review and include those that contribute to the knowledge of the chemical composition and biological activities of pecan nutshell, particularly of those related to the therapeutic potential against some chronic degenerative diseases associated with oxidative stress. Method: Exhaustive and detailed review of the existing literature using electronic databases. Conclusion: The pecan nutshell is a promising natural product with pharmaceutical uses in various diseases. However, additional research related to the assessment of efficient extraction methods and characterization, particularly the evaluation of the mechanisms of action in new in vivo models, is necessary to confirm these findings and development of new drugs with therapeutic use.

New Drugs Approved by the FDA New Dosage Forms and Indications Agents Pending FDA Approval Labeling Changes Related to Safety

2001 ◽  
Vol 36 (12) ◽  
pp. 1278-1289
Author(s):  
Danial E. Baker
Keyword(s):  
Dosage Forms ◽  
New Drugs ◽  
Fda Approval ◽  
New Information ◽  
Bold Type

This monthly feature will help readers keep current on new drugs, new indications and dosage forms, and safety-related changes in labeling or use. Each month, new information will be added to the table (shown in bold type) and older information will be removed. Efforts have been made to ensure the accuracy of the information; however, if there are any questions, let us know at [email protected] .

New Drugs Approved by the FDA; New Dosage Forms and Indications; Agents Pending FDA Approval; Significant Labeling Changes Related to Safety

2005 ◽  
Vol 40 (2) ◽  
pp. 170-183
Author(s):  
Danial E. Baker
Keyword(s):  
Dosage Forms ◽  
New Drugs ◽  
Fda Approval ◽  
New Information ◽  
Bold Type

This monthly feature will help readers keep current on new drugs, new indications and dosage forms, and safety-related changes in labeling or use. Each month, new information will be added to the table (shown in bold type) and older information will be removed. Efforts have been made to ensure the accuracy of the information; however, if there are any questions, let us know at [email protected] .

scholarly journals Computer-Aided Drug Design (CADD) to De-Orphanize Marine Molecules: Finding Potential Therapeutic Agents for Neurodegenerative and Cardiovascular Diseases

Marine Drugs ◽  
2022 ◽  
Vol 20 (1) ◽  
pp. 53
Author(s):  
Laura Llorach-Pares ◽  
Alfons Nonell-Canals ◽  
Conxita Avila ◽  
Melchor Sanchez-Martinez
Keyword(s):  
Natural Products ◽  
Drug Design ◽  
Therapeutic Potential ◽  
Marine Invertebrate ◽  
In Silico Analysis ◽  
New Drugs ◽  
Computer Aided Drug Design ◽  
Marine Habitats ◽  
Computer Aided ◽  
Promising Line

Computer-aided drug design (CADD) techniques allow the identification of compounds capable of modulating protein functions in pathogenesis-related pathways, which is a promising line on drug discovery. Marine natural products (MNPs) are considered a rich source of bioactive compounds, as the oceans are home to much of the planet’s biodiversity. Biodiversity is directly related to chemodiversity, which can inspire new drug discoveries. Therefore, natural products (NPs) in general, and MNPs in particular, have been used for decades as a source of inspiration for the design of new drugs. However, NPs present both opportunities and challenges. These difficulties can be technical, such as the need to dive or trawl to collect the organisms possessing the compounds, or biological, due to their particular marine habitats and the fact that they can be uncultivable in the laboratory. For all these difficulties, the contributions of CADD can play a very relevant role in simplifying their study, since, for example, no biological sample is needed to carry out an in-silico analysis. Therefore, the amount of natural product that needs to be used in the entire preclinical and clinical study is significantly reduced. Here, we exemplify how this combination between CADD and MNPs can help unlock their therapeutic potential. In this study, using a set of marine invertebrate molecules, we elucidate their possible molecular targets and associated therapeutic potential, establishing a pipeline that can be replicated in future studies.

scholarly journals Identification of distinct characteristics of antibiofilm peptides and prospection of diverse sources for efficacious sequences

2021 ◽  
Author(s):  
Bipasa Bose ◽  
Taylor Downey ◽  
Anand K. Ramasubramanian ◽  
David C. Anastasiu
Keyword(s):  
Regression Model ◽  
Sequence Similarity ◽  
Drug Repurposing ◽  
Classification Model ◽  
Antibiofilm Activity ◽  
High Sequence Similarity ◽  
Small Molecule Drugs ◽  
Microbial Infections ◽  
Positive Dataset ◽  
Therapeutic Properties

A majority of microbial infections are associated with biofilms. Targeting biofilms is considered an effective strategy to limit microbial virulence while minimizing the development of antibiotic resistance. Towards this need, antibiofilm peptides are an attractive arsenal since they are bestowed with properties orthogonal to small molecule drugs. In this work, we developed machine learning models to identify the distinguishing characteristics of known antibiofilm peptides, and to mine peptide databases from diverse habitats to classify new peptides with potential antibiofilm activities. Additionally, we used the reported minimum inhibitory/eradication concentration (MBIC/MBEC) of the antibiofilm peptides to create a regression model on top of the classification model to predict the effectiveness of new antibiofilm peptides. We used a positive dataset containing 242 antibiofilm peptides, and a negative dataset which, unlike previous datasets, contains peptides that are likely to promote biofilm formation. Our model achieved a classification accuracy greater than 98% and harmonic mean of precision-recall (F1) and Matthews correlation coefficient (MCC) scores greater than 0.90; the regression model achieved an MCC score greater than 0.81. We utilized our classification-regression pipeline to evaluate 135,015 peptides from diverse sources and identified antibiofilm peptide candidates that are efficacious against preformed biofilms at micromolar concentrations. Structural analysis of the top 37 hits revealed a larger distribution of helices and coils than sheets. Sequence alignment of these hits with known antibiofilm peptides revealed that, while some of the hits showed relatively high sequence similarity with known peptides, some others did not indicate the presence of antibiofilm activity in novel sources or sequences. Further, some of the hits had previously recognized therapeutic properties or host defense traits suggestive of drug repurposing applications. Taken together, this work demonstrates a new in silicio approach to predicting antibiofilm efficacy, and identifies promising new candidates for biofilm eradication.

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