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The pipeline of new antibiotics is insufficient to keep pace with the growing global burden of drug-resistant infections. Substantial economic challenges discourage private investment in antibiotic research and development (R&D), with a decline in the number of companies and researchers working in the field. Compounding these issues, many countries (from low income to high income) face a growing crisis of antibiotic shortages and inequitable access to existing and emerging treatments. This has led to an increasing role for public and philanthropic funding in supporting antibiotic R&D via the creation of nonprofit public-private partnerships, including Combating Antibiotic-Resistant Bacteria Biopharmaceutical Accelerator (CARB-X) and the Global Antibiotic Research and Development Partnership (GARDP), industry support for the AMR Action Fund, and pilot schemes to evaluate and reimburse antibiotics in innovative ways. Now is the time to raise the urgency, ambition and commitments of the world's leaders to fully support the antibiotic R&D ecosystem, incentivizing all sectors to conduct public health-driven antibiotic R&D and make effective antibiotics accessible to all who need them., (© 2024. Springer Nature America, Inc.)

The cost of drug discovery and development is driven primarily by failure 1 , with only about 10% of clinical programmes eventually receiving approval 2-4 . We previously estimated that human genetic evidence doubles the success rate from clinical development to approval 5 . In this study we leverage the growth in genetic evidence over the past decade to better understand the characteristics that distinguish clinical success and failure. We estimate the probability of success for drug mechanisms with genetic support is 2.6 times greater than those without. This relative success varies among therapy areas and development phases, and improves with increasing confidence in the causal gene, but is largely unaffected by genetic effect size, minor allele frequency or year of discovery. These results indicate we are far from reaching peak genetic insights to aid the discovery of targets for more effective drugs., (© 2024. The Author(s).)

Japanese pharmaceutical products continue to experience a trade deficit, since import values exceed export values. In drug discovery development, given the pace of technological innovations, there has been a major shift from low-molecular-weight compounds to biomedicine. It is anticipated that industry, academia and government will work more closely together in support of the pharmaceutical industry. Drug discovery requires much time and vast resources before the results can be put to practical use, and evidence suggests that many newly approved drugs derive from university-sourced technology. Pharmaceutical companies keep a close eye on technology evolving in universities. However, some reports state that there is a substantial difference compared to the development costs of the major Japanese pharmaceutical companies. Therefore, the authors hypothesized that there may be some issues hindering industrial-academic partnerships in drug discovery. In order to understand the actual situation and barriers to promoting industrial-academic collaboration, the Japan Pharmaceutical Manufacturers Association (JPMA), Japan Agency for Medical Research and Development (AMED), and the Medical Industry-Academia Collaboration Network (medU-net) Council will work together in issuing questionnaires and conducting an awareness survey. This survey sought the personal opinions of individuals belonging to JPMA and medU-net. Based on the results of this survey, we will introduce the issues related to industrial-academic collaboration and partnerships, and any gaps between industry and academia. Furthermore, we suggest solutions to promoting drug discovery innovation in Japan.

Drug discovery is an expensive and time-consuming process. To make this process more efficient quantum chemistry methods can be employed. The electrophilicity index is one property that can be calculated by quantum chemistry methods, and if calculated correctly gives insight into the reactivity of covalent inhibitors. Herein we present the usage of the electrophilicity index on three common warheads, i.e., acrylamides, 2-chloroacetamides, and propargylamides. We thoroughly examine the properties of the electrophilicity index, show which pitfalls should be avoided, and what the requirements to successfully apply the electrophilicity index are.

Absolute binding free energy calculations with explicit solvent molecular simulations can provide estimates of protein-ligand affinities, and thus reduce the time and costs needed to find new drug candidates. However, these calculations can be complex to implement and perform. Here, we introduce the software BAT.py, a Python tool that invokes the AMBER simulation package to automate the calculation of binding free energies for a protein with a series of ligands. The software supports the attach-pull-release (APR) and double decoupling (DD) binding free energy methods, as well as the simultaneous decoupling-recoupling (SDR) method, a variant of double decoupling that avoids numerical artifacts associated with charged ligands. We report encouraging initial test applications of this software both to re-rank docked poses and to estimate overall binding free energies. We also show that it is practical to carry out these calculations cheaply by using graphical processing units in common machines that can be built for this purpose. The combination of automation and low cost positions this procedure to be applied in a relatively high-throughput mode and thus stands to enable new applications in early-stage drug discovery.

Outsourcing has become an integral part of how research and early development (R&D) is executed in biotech companies and large pharmaceutical organizations. Drug discovery organizations can choose from several operational models when partnering with a service provider, ranging from short-term, fee-for-service (FFS)-based arrangements to more strategic full-time-equivalent (FTE)-based collaborations and even risk-sharing relationships. Clients should consider a number of criteria when deciding which contract research organization (CRO) is best positioned to help meet their goals. Besides cost, other factors such as intellectual property protection, problem solving skills, value-creation ability, communication, data integrity, safety and personnel policies, ease of communication, geography, duration of engagement, scalability of capacity, and contractual details deserve proper consideration. In the end, the success of a drug discovery partnership will depend in large part on the people who execute the science.

An increasing number of new drugs have their origin in small biotech or academia. In contrast to big pharma, these environments are often more limited in terms of resources, and this necessitates different approaches to the drug discovery process. In this review, we outline how computational methods can help advance drug discovery in a setting with more limited resources and we share what, based on our experience, are the best practices for these methods.

Background: In the current study, we present an integrated in silico cheminformaticsmolecular docking approach to screen and test potential therapeutic compounds against viruses. Fluoroquinolones have been shown to inhibit HCV replication by targeting HCV NS3-helicase. Based on this observation, we hypothesized that natural analogs of fluoroquinolones will have similar or superior inhibitory potential while having potentially fewer adverse effects., Methods: To screen for natural analogs of fluoroquinolones, we devised an integrated in silico Cheminformatics-Molecular Docking approach. We used 17 fluoroquinolones as bait reference, to screen large databases of natural analogs. 10399 natural compounds and their derivatives were retrieved from the databases. From these compounds, molecules bearing physicochemical similarities with fluoroquinolones were analyzed using a cheminformatics-docking approach., Results: From the 10399 compounds screened using our cheminformatics approach, only 20 compounds were found to share physicochemical similarities with fluoroquinolones, while the remaining 10379 compounds were physiochemically different from fluoroquinolones. Molecular docking analysis showed 32 amino acids in the HCV NS3 active site that were most frequently targeted by fluoroquinolones and their natural analogues, indicating a functional similarity between the two groups of compounds., Conclusion: This study describes a speedy and inexpensive approach to complement drug discovery and design against viral agents. The in silico analyses we used here can be employed to shortlist promising compounds/putative drugs that can be further tested in wet-lab., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Cell-based assays are an important part of the drug discovery process and clinical research. One of the main hurdles is to design sufficiently robust assays with adequate signal to noise parameters while maintaining the inherent physiology of the cells and not interfering with the pharmacology of target being investigated. A plethora of assays that assess cell viability (or cell heath in general) are commercially available and can be classified under different categories according to their concepts and principle of reactions. The assays are valuable tools, however, suffer from a large number of limitations. Some of these limitations can be procedural or operational, but others can be critical as those related to a poor concept or the lack of proof of concept of an assay, e.g. those relying on differential permeability of dyes in-and-out of viable versus compromised cell membranes. While the assays can differentiate between dead and live cells, most, if not all, of them can just assess the relative performance of cells rather than providing a clear distinction between healthy and dying cells. The possible impact of relatively high molecular weight dyes, used in most of the assay, on cell viability has not been addressed. More innovative assays are needed, and until better alternatives are developed, setup of current cell-based studies and data interpretation should be made with the limitations in mind. Negative and positive control should be considered whenever feasible. Also, researchers should use more than one orthogonal method for better assessment of cell health., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

While resistance to antibacterial drugs is increasing globally, it is unevenly distributed. The number of cases that are truly difficult to treat remain below the number required to drive an adequate market for needed new therapies. Without a sufficient market, companies pursuing these drugs risk financial failure. Here, I explore, at least briefly, the current situation and the financial risks to companies. I provide potential solutions to the failed market., (Copyright © 2019 American Society for Microbiology.)

Hydrogen/deuterium exchange mass spectrometry (HDX-MS) is a biophysical technique well suited to the characterization of protein dynamics and protein-ligand interactions. In order to accurately define the rate of exchange, HDX experiments require the repeated measure of deuterium incorporation into the target protein across a range of time points. Accordingly, the HDX-MS experiment is well suited to automation, and a number of automated systems for HDX-MS have been developed. The most widely utilized platforms all operate an integrated design, where robotic liquid handling is interfaced directly with a mass spectrometer. With integrated designs, the exchange samples are prepared and injected into the LC-MS following a "real-time" serial workflow. Here we describe a new HDX-MS platform that is comprised of two complementary pieces of automation that disconnect the sample preparation from the LC-MS analysis. For preparation, a plate-based automation system is used to prepare samples in parallel, followed by immediate freezing and storage. A second piece of automation has been constructed to perform the thawing and LC-MS analysis of frozen samples in a serial mode and has been optimized to maximize the duty cycle of the mass spectrometer. The decoupled configuration described here reduces experiment time, significantly improves capacity, and improves the flexibility of the platform when compared with a fully integrated system.

This article aims to provide an overview of drug discovery with a focus on application within dermatology. The term "drug" can be used to describe a wide variety of agents, including small molecules, cell therapies, and antibodies, which may be dosed intravenously, orally, topically, or by other routes of administration. We summarize the economics and risks involved in drug discovery. Understanding the needs of patients and clinicians through use of a target product profile before initiating drug discovery can reduce time and effort spent developing a poor or unneeded drug. For small molecule drug discovery, a chemical starting point is then required. We present four options for finding a chemical starting point for drug discovery projects: screening libraries of compounds or modifying, reformulating, or repositioning a known drug. Examples of each technique's use in dermatology are provided. We also describe the subsequent steps involved in discovery of a new drug. To help interested readers, we provide information on how to engage with academic drug discovery centers or industrial partners., (Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)

Public financing to incentivise private sector innovation in antimicrobial pharmaceuticals is believed by many to be necessary to defeat growing threats from antimicrobial resistance. Large cash incentives from the public sector are said to be essential to stimulate 'normal' market forces capable of unleashing much-needed innovation. However, there is little evidence to suggest that lack of innovation in drug development is peculiar to antimicrobials or that current deficits in the supply of antimicrobials is due to unique inefficiencies in the antimicrobial market. Neither the history of drug development in general nor of antimicrobial innovation in particular supports economic interventions intended to stimulate private sector supply of new antimicrobials. On the contrary, public underwriting of the private sector, which by definition is compelled to prioritise profit, risks dire consequences for future global health., (© The Author(s) 2018. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

We draw from documented characteristics of the biopharmaceutical industry to construct a model where two firms can choose to outsource R&D to an external unit, and/or engage in internal R&D, before competing in a final market. We investigate the distribution of profits among market participants, and the incentives to coordinate outsourcing activities or to integrate R&D and production. Consistent with the empirical evidence, we find that the sign and magnitude of an aggregate measure of direct (inter-firm) and indirect (through the external unit) technological externalities drives the distribution of industry profits, with higher returns to the external unit when involved in development (clinical trials) than in early-stage research (drug discovery). In the latter case, the delinkage of investment incentives from industry value, together with the ability of firms to transfer risks to the external unit, imply a vulnerability of early-stage investors' returns to negative shocks, and the likely abandonment of projects with economic and medical value. We also find that competition in the equity market makes a buyout by one of the two firms more profitable to a research biotech than to a clinical services unit, and can stimulate early-stage investments. However, this long-term incentive can be minimal, notably if the superior efficiency of outsourced operations originates from economies of scope that can hardly be exploited when a firm takes control of the external unit exclusively for itself. R&D outsourcing thus does not always qualify as a relevant pathway to address the declining productivity in innovation that has characterized the industry over several decades., (Copyright © 2019 Elsevier B.V. All rights reserved.)

In recent years, the field of quantitative structure-activity/property relationship (QSAR/QSPR) modeling has developed into a stable technology capable of reliably predicting new bioactive molecules. With the availability of inexpensive commercial sources of both synthetic chemicals and bioactivity assays, a cheminformatics-savvy scientist can readily establish a virtual drug discovery enterprise. A skilled computational chemist can not only develop a computer-aided drug discovery pipeline but also acquire or have the drug candidates made inexpensively for economical screening of desired on-target activity, critical off-target effects, and essential drug-likeness properties. As part of our drug discovery pipeline, a novel machine-learning model was built to relate chemical structures of synthetically accessible molecules to their prices. The model was trained from our "in stock" and "made on demand" diverse chemical entities, ranging in price from $20 to >$10,000. This novel model is encoded here as the quantitative structure-price relationship (QS$R) model.

The pipeline for new antibiotics is dry. Despite the creation of public/private initiatives like Combating Antibiotic Resistant Bacteria Biopharmaceutical Accelerator (Carb-X) and the Antimicrobial Resistance (AMR) Centre, the current focus on 'push-pull' incentives for the pharmaceutical industry still relies on economic return. We propose a joint, internationally-funded antimicrobial development institute that would fund permanent staff to take on roles previously assigned to pharmaceutical companies. This institute would receive ring-fenced, long-term, core funding from participating countries as well as charities, with the aim to focus on transforming the largely dormant antimicrobial pipeline. Resulting drugs would be sold globally and according to a principle of shared burdens. Our proposed model for antimicrobial development aims to maximise society's investment, through open science, investment in people, and the sharing of intellectual property., Competing Interests: No competing interests were disclosed.

Today's microbial infections' resistance to approved drugs, the emergence of new infectious diseases and lack of vaccines, create a huge threat to human health. Thus, there is an urgent need to create novel antimicrobial agents, but the high cost and prolonged timeline of novel drug discovery and development is the major barrier to make new drugs. Therefore, there is a need for specific cost effective approaches in order to identify new drugs for the treatment of various microbial infections. Drug repurposition is an alternative technique to find existing clinically approved drugs for other indications. This approach may enhance the portfolio of Pharmaceutical companies by reducing the time and money required for the development of new chemical entity. In literature, various studies have reported some encouraging results regarding the antimicrobial use of existing statin drugs. Further, some clinical studies have also shown the protective effect of statin drugs in reduction of the morbidity and mortality due to many infectious diseases but complete understanding is still lacking. Thus, there is a need for better understanding of the use of statin drugs, especially in the context of antimicrobial effects. In this review, we try to summarize the use of statin drugs in various infectious diseases and their proposed antimicrobial mechanism of action. Further, current challenges and future perspectives of repurposition of statin drugs as antimicrobial agents have also been discussed., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Failures in the current paradigm for drug development have resulted in soaring research and development costs and reduced numbers of new drug approvals. Over 90% of new drug programs fail, the majority terminated at the level of Phase 2/3 clinical trials, largely because of efficacy failures or unexplained toxicity. A recent workshop brought together members from research institutions, regulatory agencies, industry, academia, and nongovernmental organizations to discuss how existing programs could be better applied to understanding human biology and improving drug discovery. Recommendations include increased emphasis on human relevance, better access and curation of data, and improved interdisciplinary and international collaboration., (Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Here, we provide a comprehensive study related to the risks of all biopharmaceutical firms going public in the USA between 1996 and 2015. We found 355 firms that met our requirements for being in the sector that focuses on creating drugs for humans. Collectively, these firms spent approximately US$86.9 billion on research and development (R&D) during this time. They also lost approximately US$69.3 billion in combined net income. We also examine the delisting of these firms from a public market, their number of collaborators at the initial public offering (IPO), and estimate the percentage ownership by other biopharmaceutical firms at the IPO., (Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Aims: To examine how pharmaceutical products that were first marketed between 1950 and 1980 were promoted to physicians through advertisements and briefly review advertising regulations and accuracy of the advertisements in the light of modern knowledge., Methods: We systematically reviewed advertisements promoting drugs for specific therapeutic areas, namely central nervous system disorders (anxiety and sleep disorders, depression, psychoses, and Parkinson's disease), respiratory disorders, cardiovascular disorders, and gastrointestinal disorders. We examined about 800 issues of the British Medical Journal (1950-1980) and about 150 issues of World Medicine (1965-1984)., Results: Advertising material was minimally regulated until the mid-1970s. Many drugs were marketed with little preclinical or clinical knowledge and some with the expectation that prescribers would obtain further data. The peak of advertising occurred in parallel with the surge in the release of novel drugs during the 1960s, but declined markedly after the mid-1970s. Advertisements generally contained little useful prescribing information. The period we investigated saw the release of many novel pharmaceuticals in the therapeutic areas we examined, and many (or their class successors) still play important therapeutic roles, including benzodiazepines, tricyclic antidepressants, phenothiazines, levodopa, selective and non-selective β-adrenoceptor antagonists, thiazide diuretics, β-adrenoceptor agonists, and histamine H 2 receptor antagonists., Conclusions: Advertising pharmaceuticals in the BMJ and World Medicine in 1950-1980 was poorly regulated and often lacked rigour. However, advertisements were gradually modified in the light of increasing clinical pharmacological knowledge, and they reflect an exciting period for the introduction of many drugs that continue to be of benefit today., (© 2018 The British Pharmacological Society.)

Over the years, the pharmaceutical industry has been at the forefront of research and innovation in drug discovery and development. The process of drug discovery extending from preclinical studies to multicentric clinical trials and postmarketing phase is a costly affair running into billions of dollars. On the flip side, not all investigational molecules clear the trial phases and get approved, which puts pressure on the manufacturers to maximize the profit from approved drugs. It is in this key area that the practice of drug promotion plays its role. The World Health Organization defines drug promotion as "all informational and persuasive activities by manufacturers and distributors, the effect of which is to influence the prescription, supply, purchase or use of medicinal drugs". With its humble intent of creating awareness among healthcare professionals and updating their knowledge on recent advances in treatment options, drug promotion has been an important tool, but gradually it has evolved to embrace aggressive marketing strategies and sometimes unethical business and scientific practices where the need for profit-making eclipses commitment to patient care and scientific exploration. In this review, we discuss the evolution of drug promotion practices, the various types, its merits and demerits, the influence of drug promotion on physician prescribing behaviour, the role of regulatory bodies, unethical promotional practices and finally summarize with future directions., (© 2018 The British Pharmacological Society.)

About 7000 rare, or orphan, diseases affect more than 350 million people worldwide. Although these conditions collectively pose significant health care problems, drug companies seldom develop drugs for orphan diseases due to extremely limited individual markets. Consequently, developing new treatments for often life-threatening orphan diseases is primarily contingent on financial incentives from governments, special research grants, and private philanthropy. Computer-aided drug repositioning is a cheaper and faster alternative to traditional drug discovery offering a promising venue for orphan drug research. Here, we present eRepo-ORP, a comprehensive resource constructed by a large-scale repositioning of existing drugs to orphan diseases with a collection of structural bioinformatics tools, including eThread, eFindSite, and eMatchSite. Specifically, a systematic exploration of 320,856 possible links between known drugs in DrugBank and orphan proteins obtained from Orphanet reveals as many as 18,145 candidates for repurposing. In order to illustrate how potential therapeutics for rare diseases can be identified with eRepo-ORP, we discuss the repositioning of a kinase inhibitor for Ras-associated autoimmune leukoproliferative disease. The eRepo-ORP data set is available through the Open Science Framework at https://osf.io/qdjup/., (Copyright © 2017. Published by Elsevier Ltd.)