Assessing the reaction to and efficacy of the Screener drug discovery and development board game as a pedagogical tool in postgraduate courses

Screener, a board game supplemented with online resources, was introduced and distributed by the Brazilian Society of Pharmacology and Experimental Therapeutics to postgraduate programs as an instructional tool for the process of drug discovery and development (DDD). In this study, we provided a comprehensive analysis of five critical aspects for evaluating the quality of educational games, namely: 1) description of the intervention; 2) underlying pedagogical theory; 3) identification of local educational gaps; 4) impact on diverse stakeholders; and 5) elucidation of iterative quality enhancement processes. We also present qualitative and quantitative assessments of the effectiveness of this game in 11 postgraduate courses. We employed the MEEGA+ online survey, comprising thirty-three close-ended unipolar items with 5-point Likert-type response scales, to assess student perceptions of the quality and utility of Screener. Based on 115 responses, the results indicated a highly positive outlook among students. In addition, we performed a preliminary evaluation of learning outcomes in two courses involving 28 students. Pre- and post-quizzes were applied, each consisting of 20 True/False questions directly aligned with the game's content. The analysis revealed significant improvement in students' performance following engagement with the game, with scores rising from 8.4 to 13.3 (P<0.0001, paired t-test) and 9.7 to 12.7 (P<0.0001, paired t-test). These findings underscore the utility of Screener as an enjoyable and effective tool for facilitating a positive learning experience in the DDD process. Notably, the game can also reduce the educational disparities across different regions of our continental country.

Organoides de origen humano como modelo fisiopatológico de evaluación terapéutica de fármacos en COVID-19 / Organoids as a physiopathology model and therapeutic drug evaluation tool in COVID-19

Introducción: La pandemia causada por SARS-CoV-2 ha impactado al mundo gravemente en diversos ámbitos y con ello ha surgido la necesidad de contar con herramientas con mayor relevancia fisiológica para investigar patologías complejas como el COVID-19. Los organoides son un modelo experimental con características únicas como la capacidad de autoformar una estructura tridimensional utilizando células en cultivo. Sobre esta base, surge la siguiente pregunta ¿son los organoides un modelo experimental factible para reflejar la fisiopatología del COVID-19 y evaluar la eficacia de fármacos que limiten su progresión? Metodología: Para abordar esta interrogante, esta revisión plantea el analizar la validez de los organoides como modelo experimental y verificar su utilidad en la evaluación de fármacos para el COVID-19. Para cumplir estos objetivos se realizó una revisión sistemática cualitativa de la literatura, a través de una búsqueda en PubMed con el término 'COVID-19 and stem cells and organoids' y también en un número especial de la revista Cell. Resultados: Se organizaron los resultados relevantes por sistema fisiológico y en la evaluación de fármacos. Los organoides más empleados para estudios de COVID-19 correspondieron a tejido respiratorio, nervioso y digestivo. Algunos resultados encontrados en la revisión fueron similares a aquellos obtenidos a partir de tejidos de pacientes COVID-19 o autopsias, encontrándose hallazgos relevantes como la posible disrupción de la barrera epitelial del sistema nervioso por infección del plexo coroideo. También se logró observar efectividad de fármacos que posteriormente pasaron a ser aprobados y utilizados exitosamente en pacientes. Conclusión: Los organoides se pueden componer a partir de diferentes tipos celulares y bajo diferentes protocolos experimentales, siendo relevante la lectura crítica de los artículos científicos para decidir si sus resultados son extrapolables a la fisiopatología de la enfermedad.

Introduction: The pandemic caused by SARS-CoV-2 has impacted the world severely in several aspects and has created the need for research tools to study the COVID-19 disease. Organoids are experimental models with unique characteristics, like the ability to self-assemble in a tridimensional structure. Based on this, the following question arises: are organoids an experimental model suitable to reflect the physiopathology of COVID-19 and to allow the evaluation of the efficacy of drugs that limit its progression? Methods: To approach this question, this review aimed to analyze the validity of organoids as an experimental model and verify their utility in COVID-19 drug evaluation. To resolve these objectives, a qualitative systematic review was done through a PubMed search with the terms 'COVID-19 and stem cells and organoids' and on a special issue of the Cell Journal. Results: The results were organized by physiologic system and therapeutic drug evaluation. The most utilized tissues for the COVID-19 study were respiratory, nervous, and digestive. Some results found in the review were like those obtained from COVID-19 patient tissue or autopsies, finding some relevant discoveries like the possibility of the choroid plexus disruption in the nervous system caused by the infection. Efficacy was also observed in approved drugs and used later in patients successfully. Conclusion: Organoids might be composed starting with different cell types and under a variety of experimental protocols, being relevant the critical reading of the scientific literature to decide whether their results can be extrapolated to the pathophysiology of the disease

Live biotherapeutic products: the forefront of innovative drug development driven by biotechnology / 生物工程学报

As human microbiome research advances, a large body of evidence shows that microorganisms are closely related to human health. Probiotics were discovered and used as foods or dietary supplements with health benefits in the last century. Microorganisms have shown broader application prospects in human health since the turn of the century, owing to the rapid development of technologies such as microbiome analysis, DNA synthesis and sequencing, and gene editing. In recent years, the concept of "next-generation probiotics" has been proposed as new drugs, and microorganisms are considered as "live biotherapeutic products (LBP)". In a nutshell, LBP is a living bacterial drug that can be used to prevent or treat certain human diseases and indications. Because of its distinct advantages, LBP has risen to the forefront of drug development research and has very broad development prospects. This review introduces the varieties and research advances on LBP from a biotechnology standpoint, followed by summarizing the challenges and opportunities for LBP clinical implementations, with the aim to facilitate LBP development.

FBDD and drugs originated from FBDD / 药学学报

The binding of small molecule drugs to targets is mostly through non-covalent bonds, and hydrogen bond, electrostatic, hydrophobic and van der Waals interactions function to maintain the binding force. The more these binding factors lead to strong bindings and high activities. However, it is often accompanied by the increase of molecular size, resulting in pharmacokinetic problems such as membrane penetration and absorption, as well as metabolism, which ultimately affects the drug success. Fragment-based drug discovery (FBDD) is to screen high-quality fragment library to find hits. Combine with structural biology, FBDD generates lead compounds by means of fragment growth, linking and fusion, and finally drug candidates by the optimization operation. During the value chain FBDD is closely related to structure-based drug discovery (SBDD). In this paper, the principle of FBDD is briefly described by several launched drugs.

Perspective of CADD and AIDD in medicinal chemistry / 药学学报

Artificial intelligence-aided drug discovery (AIDD) is a new version of computer-aided drug discovery (CADD). AIDD is featured in significantly promoting the performance of conventional CADD. AI markedly enhances the learning ability of CADD. In the 1960s, CADD was established from conventional QSAR approaches, which mainly used regression approaches to derive substructure-activity relationship for compounds with a common scaffold, and guide drug molecular design, figure out the binding features of drugs, and identify potential drug targets. Since the 1990s, structural biology has provided three-dimensional structures of drug targets, enabling drug discovery based on target structure (SBDD), fragment-based drug discovery (FBDD), and structure-based virtual screening (SBVS) with CADD approaches. In the past 30 years, many first in class (FIC) and best in class (BIC) drugs were discovered with CADD. Now, AIDD will further revolutionize CADD by reducing human interventions and mining big chemical and biological data. It is expected that AIDD will significantly enhance the abilities of CADD, virtual screening and drug target identification. This article tries to provide perspectives of CADD and AIDD in medicinal chemistry with case studies.

Advances and prospects in targeted protein degradation / 药学实践杂志

Targeted protein degradation (TPD) techniques eliminate pathogenic proteins by hijacking the intracellular proteolysis machinery which includes the ubiquitin-proteasome system (UPS) and the lysosomal degradation pathway, holding promise to overcome the limitations of traditional inhibitors and further broaden the target space including many “undruggable” targets, and provide new targeted treatments for drug discovery. In this review, recent advances in a variety of promising TPD strategies were summarized, such as proteolysis targeting chimera (PROTAC), molecular glue, lysosome-targeting chimaera (LYTAC), autophagosome-tethering compound (ATTEC), autophagy-targeting chimera AUTAC and AUTOTAC, particularly. The representative case studies, potential applications and challenges were analyzed.

A novel IRAK4/PIM1 inhibitor ameliorates rheumatoid arthritis and lymphoid malignancy by blocking the TLR/MYD88-mediated NF-κB pathway

Interleukin-1 receptor-associated kinase 4 (IRAK4) is a pivotal enzyme in the Toll-like receptor (TLR)/MYD88 dependent signaling pathway, which is highly activated in rheumatoid arthritis tissues and activated B cell-like diffuse large B-cell lymphoma (ABC-DLBCL). Inflammatory responses followed by IRAK4 activation promote B-cell proliferation and aggressiveness of lymphoma. Moreover, proviral integration site for Moloney murine leukemia virus 1 (PIM1) functions as an anti-apoptotic kinase in propagation of ABC-DLBCL with ibrutinib resistance. We developed a dual IRAK4/PIM1 inhibitor KIC-0101 that potently suppresses the NF-κB pathway and proinflammatory cytokine induction in vitro and in vivo. In rheumatoid arthritis mouse models, treatment with KIC-0101 significantly ameliorated cartilage damage and inflammation. KIC-0101 inhibited the nuclear translocation of NF-κB and activation of JAK/STAT pathway in ABC-DLBCLs. In addition, KIC-0101 exhibited an anti-tumor effect on ibrutinib-resistant cells by synergistic dual suppression of TLR/MYD88-mediated NF-κB pathway and PIM1 kinase. Our results suggest that KIC-0101 is a promising drug candidate for autoimmune diseases and ibrutinib-resistant B-cell lymphomas.

Chemistry-led investigations into the mode of action of NAMPT activators, resulting in the discovery of non-pyridyl class NAMPT activators

The cofactor nicotinamide adenine dinucleotide (NAD+) plays a key role in a wide range of physiological processes and maintaining or enhancing NAD+ levels is an established approach to enhancing healthy aging. Recently, several classes of nicotinamide phosphoribosyl transferase (NAMPT) activators have been shown to increase NAD+ levels in vitro and in vivo and to demonstrate beneficial effects in animal models. The best validated of these compounds are structurally related to known urea-type NAMPT inhibitors, however the basis for the switch from inhibitory activity to activation is not well understood. Here we report an evaluation of the structure activity relationships of NAMPT activators by designing, synthesising and testing compounds from other NAMPT ligand chemotypes and mimetics of putative phosphoribosylated adducts of known activators. The results of these studies led us to hypothesise that these activators act via a through-water interaction in the NAMPT active site, resulting in the design of the first known urea-class NAMPT activator that does not utilise a pyridine-like warhead, which shows similar or greater activity as a NAMPT activator in biochemical and cellular assays relative to known analogues.

Emerging trends in organ-on-a-chip systems for drug screening

New drug discovery is under growing pressure to satisfy the demand from a wide range of domains, especially from the pharmaceutical industry and healthcare services. Assessment of drug efficacy and safety prior to human clinical trials is a crucial part of drug development, which deserves greater emphasis to reduce the cost and time in drug discovery. Recent advances in microfabrication and tissue engineering have given rise to organ-on-a-chip, an in vitro model capable of recapitulating human organ functions in vivo and providing insight into disease pathophysiology, which offers a potential alternative to animal models for more efficient pre-clinical screening of drug candidates. In this review, we first give a snapshot of general considerations for organ-on-a-chip device design. Then, we comprehensively review the recent advances in organ-on-a-chip for drug screening. Finally, we summarize some key challenges of the progress in this field and discuss future prospects of organ-on-a-chip development. Overall, this review highlights the new avenue that organ-on-a-chip opens for drug development, therapeutic innovation, and precision medicine.

SARS-CoV-2 spike host cell surface exposure promoted by a COPI sorting inhibitor

Via an insufficient coat protein complex I (COPI) retrieval signal, the majority of SARS-CoV-2 spike (S) is resident in host early secretory organelles and a tiny amount is leaked out in cell surface. Only surface-exposed S can be recognized by B cell receptor (BCR) or anti-S therapeutic monoclonal antibodies (mAbs) that is the trigger step for B cell activation after S mRNA vaccination or infected cell clearance by S mAbs. Now, a drug strategy to promote S host surface exposure is absent. Here, we first combined structural and biochemical analysis to characterize S COPI sorting signals. A potent S COPI sorting inhibitor was then invented, evidently capable of promoting S surface exposure and facilitating infected cell clearance by S antibody-dependent cellular cytotoxicity (ADCC). Importantly, with the inhibitor as a probe, we revealed Omicron BA.1 S is less cell surface exposed than prototypes because of a constellation of S folding mutations, possibly corresponding to its ER chaperone association. Our findings not only suggest COPI is a druggable target against COVID-19, but also highlight SARS-CoV-2 evolution mechanism driven by S folding and trafficking mutations.

Discovery of new Schistosoma mansoni aspartyl protease inhibitors by structure-based virtual screening

BACKGROUND Schistosomiasis is a neglected tropical disease caused by trematodes of the genus Schistosoma, with a limited treatment, mainly based on the use of praziquantel (PZQ). Currently, several aspartic proteases genes have already been identified within the genome of Schistosoma species. At least one enzyme encoded from this gene family (SmAP), named SmCD1, has been validated for the development of schistosomicidal drugs, since it has a key role in haemoglobin digestion by worms. OBJECTIVE In this work, we integrated a structure-based virtual screening campaign, enzymatic assays and adult worms ex vivo experiments aiming to discover the first classes of SmCD1 inhibitors. METHODS Initially, the 3D-structures of SmCD1, SmCD2 and SmCD3 were generated using homology modelling approach. Using these models, we prioritised 50 compounds from 20,000 compounds from ChemBridge database for further testing in adult worm aqueous extract (AWAE) and recombinant SmCD1 using enzymatic assays. FINDINGS Seven compounds were confirmed as hits and among them, two compounds representing new chemical scaffolds, named 5 and 19, had IC50 values against SmCD1 close to 100 μM while presenting binding efficiency indexes comparable to or even higher than pepstatin, a classical tight-binding peptide inhibitor of aspartyl proteases. Upon activity comparison against mammalian enzymes, compound 50 was selective and the most potent against the AWAE aspartic protease activity (IC50 = 77.7 μM). Combination of computational and experimental results indicate that compound 50 is a selective inhibitor of SmCD2. Compounds 5, 19 and 50 tested at low concentrations (10 uM) were neither cytotoxic against WSS-1 cells (48 h) nor could kill adult worms ex-vivo, although compounds 5 and 50 presented a slight decrease on female worms motility on late incubations times (48 or 72 h). MAIN CONCLUSION Overall, the inhibitors identified in this work represent promising hits for further hit-to-lead optimisation.

Amoebicidal and trichomonicidal capacity of polymeric nanoparticles loaded with extracts of the plants Curcuma longa (Zingiberaceae) and Berberis vulgaris (Berberidaceae) / Capacidad amebicida y tricomonicida de nanopartículas poliméricas cargadas con extractos de las plantas Curcuma longa (Zingiberaceae) y Berberis vulgaris (Berberidaceae)

Abstract Introduction: Pathogenic protozoans, like Entamoeba histolytica and Trichomonas vaginalis, represent a major health problem in tropical countries; and polymeric nanoparticles could be used to apply plant extracts against those parasites. Objective: To test Curcuma longa ethanolic extract and Berberis vulgaris methanolic extracts, and their main constituents, against two species of protozoans. Methods: We tested the extracts, as well as their main constituents, curcumin (Cur) and berberine (Ber), both non-encapsulated and encapsulated in polymeric nanoparticles (NPs), in vitro. We also determined nanoparticle characteristics by photon correlation spectroscopy and scanning electron microscopy, and hemolytic capacity by hemolysis in healthy erythrocytes. Results: C. longa consisted mainly of tannins, phenols, and flavonoids; and B. vulgaris in alkaloids. Encapsulated particles were more effective (P < 0.001); however, curcumin and berberine nanoparticles were the most effective treatments. CurNPs had IC50 values (µg/mL) of 9.48 and 4.25, against E. histolytica and T. vaginalis, respectively, and BerNPs 0.24 and 0.71. The particle size and encapsulation percentage for CurNPs and BerNPs were 66.5 and 73.4 nm, and 83.59 and 76.48 %, respectively. The NPs were spherical and significantly reduced hemolysis when compared to non-encapsulated extracts. Conclusions: NPs represent a useful and novel bioactive compound delivery system for therapy in diseases caused by protozoans.

Resumen Introducción: Los protozoos patógenos, como Entamoeba histolytica y Trichomonas vaginalis, representan un importante problema de salud en los países tropicales; y se podrían usar nanopartículas poliméricas para aplicar extractos de plantas contra esos parásitos. Objetivo: Probar los extractos etanólicos de Curcuma longa y Berberis vulgaris, y sus principales constituyentes, contra dos especies de protozoos. Métodos: Probamos los extractos, así como sus principales constituyentes, curcumina (Cur) y berberina (Ber), tanto no encapsulados como encapsulados en nanopartículas poliméricas (NPs), in vitro. También determinamos las características de las nanopartículas por espectroscopía de correlación de fotones y microscopía electrónica de barrido, y la capacidad hemolítica por hemólisis en eritrocitos sanos. Resultados: C. longa tenía principalmente: taninos, fenoles y flavonoides; y B. vulgaris, alcaloides. Las partículas encapsuladas fueron más efectivas (P < 0.001); sin embargo, las nanopartículas de curcumina y berberina fueron los tratamientos más efectivos. CurNPs tenía valores IC50 (µg/mL) de 9.48 y 4.25, contra E. histolytica y T. vaginalis, respectivamente, y BerNPs 0.24 y 0.71. El tamaño de partícula y el porcentaje de encapsulación para CurNPs y BerNPs fueron: 66.5 y 73.4 nm, y 83.59 y 76.48 %, respectivamente. Los NP son esféricos y redujeron significativamente la hemólisis en comparación con los extractos no encapsulados. Conclusiones: Las NP representan un sistema de administración de compuestos bioactivos útil y novedoso para la terapia enfermedades causadas por protozoos.

Need for artificial intelligence in pharmaceutical industry and its limitations

Artificial intelligence (AI) is often being touted as the means to bring about the fourth industrial revolution and its role in almost all sectors of our society is almost certain. This brings about an urgent need for evaluating the benefits and limitations of AI and machine learning (ML) across various sectors. Pharmaceutical industry has pioneered in embracing the use of AI in all its core areas but the success as of now seems very limited. The major advantage of AI is that it reduces the time that is needed for drug development, and in turn, it reduces the costs that are associated with drug development, enhances the returns on investment, and may even cause a decrease in cost for the end user along with improved drug safety. Hence, in this article, we will review the scope and limitations of AI in the pharmaceutical industry along with the brief review of how AI/ML can impact geriatric health care.

Evolution of modern age drug discovery of lipopeptides and computer-aided drug discovery in India

The endeavor has been attempted to present a review on the evolution of modern age drug discovery in India. The contribution of next generation therapeutics options microbial metabolites and the computational drug discovery aspects to the global market from India have been represented. Microbial metabolites such as lipopeptides and peptide therapeutics are gaining worldwide importance due to their multiple applications as broad-spectrum antimicrobial, antiviral, anticancer properties etc. Due to the surge of microbial resistance, tumor resistance, and ongoing pandemic due to constantly mutating corona virus, there is a need to develop next-generation therapeutics options from natural origin, less toxic to the environment, and have higher specificity towards target. Small molecule therapeutics are certainly less specific towards cancer targets hence the cytotoxicity is a major issue in cancer treatment while drug resistance due to the mutations are coming as challenges every day for drug discovery researchers. Microbial lipopeptide reserves a sweet spot in between the small molecule inhibitors and peptide therapeutics because of their amphiphilic compounds consist of a fatty acid side chain and a cyclic peptide moiety of hydrophilic nature. The computational drug discovery approach accelerates the drug discovery process due to the advancement in supercomputer facilities provided by various funding agencies such as the Department of Biotechnology (DBT) and the Department of Science and Technology (DST) in India. The current review article is focusing light on the research contribution of Indian Scientists and Govt. of India in the field of lipopeptide-based research and applications of Computer-aided drug discovery.

A novel approach for drug discovery-drug repurposing

Drug repurposing refers to finding a new indication for a pre-existing drug. It is a novel way of drug discovery that greatly reduces the time and money spent in the drug discovery process. This approach is associated with a better chance of successful drug approval. Both previously approved drugs as well as drugs that have failed in the trials conducted for their original indication can be repurposed. Even drugs withdrawn from market for their original indication can be repurposed for a new indication. Starting with Sildenafil which is the oldest example of repurposed drug to the recently repurposed drug tocilizumab for COVID-19, the list of repurposed drugs is a big one. The regulatory pathway to be followed for a repurposed drug is different from that for a new chemical entity. Furthermore, the period of marketing exclusivity for repurposed drug is only 3 years as against the 20 years of patent protection period for new drug. The strategy for drug repurposing may be a serendipitous one or hypothesis driven one. The hypothesis driven strategy includes the experimental and computational approaches. Computational approaches for drug discovery, especially the Connectivity map approach, offer a lot of scope to understand the drug-disease-gene link, thereby acting as a kick-starter for drug repurposing. Drug repurposing has real potential to offer a cure for rare genetic conditions and cancers. This review covers the various drug repurposing approaches in detail, the regulatory pathway for repurposed drugs, salient examples of repurposed drugs and also the challenges associated with drug repurposing.

Advances in the research and development of new drugs for chronic hepatitis B / 临床肝胆病杂志

At present, antiviral therapy for chronic hepatitis B (CHB) has a low clinical cure rate and hardly remove cccDNA. With the progress of medical science, more and more new drugs are in the stage of research and development. This article focuses on the research and development of representative drugs with relatively detailed clinical trial data. Rapid progress has been made in the new drugs such as small-interfering RNA and core protein allosteric modulators in recent years. The results of clinical trials show that it still takes some time for new drugs to enter clinical use, and multi-drug combination therapy may become the trend of treatment in the future.

Remembering your A, B, C's: Alzheimer's disease and ABCA1

The function of ATP binding cassette protein A1 (ABCA1) is central to cholesterol mobilization. Reduced ABCA1 expression or activity is implicated in Alzheimer's disease (AD) and other disorders. Therapeutic approaches to boost ABCA1 activity have yet to be translated successfully to the clinic. The risk factors for AD development and progression, including comorbid disorders such as type 2 diabetes and cardiovascular disease, highlight the intersection of cholesterol transport and inflammation. Upregulation of ABCA1 can positively impact APOE lipidation, insulin sensitivity, peripheral vascular and blood-brain barrier integrity, and anti-inflammatory signaling. Various strategies towards ABCA1-boosting compounds have been described, with a bias toward nuclear hormone receptor (NHR) agonists. These agonists display beneficial preclinical effects; however, important side effects have limited development. In particular, ligands that bind liver X receptor (LXR), the primary NHR that controls ABCA1 expression, have shown positive effects in AD mouse models; however, lipogenesis and unwanted increases in triglyceride production are often observed. The longstanding approach, focusing on LXRβ vs. LXRα selectivity, is over-simplistic and has failed. Novel approaches such as phenotypic screening may lead to small molecule NHR modulators that elevate ABCA1 function without inducing lipogenesis and are clinically translatable.

Pharmaceutical applications of framework nucleic acids

DNA is a biological polymer that encodes and stores genetic information in all living organism. Particularly, the precise nucleobase pairing inside DNA is exploited for the self-assembling of nanostructures with defined size, shape and functionality. These DNA nanostructures are known as framework nucleic acids (FNAs) for their skeleton-like features. Recently, FNAs have been explored in various fields ranging from physics, chemistry to biology. In this review, we mainly focus on the recent progress of FNAs in a pharmaceutical perspective. We summarize the advantages and applications of FNAs for drug discovery, drug delivery and drug analysis. We further discuss the drawbacks of FNAs and provide an outlook on the pharmaceutical research direction of FNAs in the future.

Computer-aided screening for potential inhibitory compounds against a Klebsiella pneumoniae local isolate containing SHV-1 and CTX-M antibiotic resistance genes

Background@#Extended-spectrum beta-lactamases (ESBLs), which allow bacteria to become resistant to commonly used antibiotics against common pathogens such as Klebsiella pneumoniae, are a significant public health concern as their presence severely limits treatment options. Discovery and development of new drug entities are critical to effectively combat infections with these increasingly common antibiotic-resistant variants. @*Objective@#Computational approaches can accelerate and reduce the cost of the discovery phase by screening for inhibitors of “druggable” pathogen enzyme targets in silico. In this study, protein structures of the ESBL enzymes SHV-1 and CTX-M-15 were used as targets in molecular docking experiments to identify potential inhibitors for K. pneumoniae. @*Methodology@#5000 compounds from the Enamine Real HTS compound database were screened in silico for binding to SHV-1 and CTX-M-15. Twenty-six (26) compounds that were identified to have more favorable interactions compared to Avibactam, a known inhibitor of the target proteins, were tested for cytotoxic activities in vivo using Resazurin Microtiter Assay (REMA) against a K. pneumoniae clinical isolate containing both SHV-1 and CTX-M-15 resistance genes. @*Results and Conclusion@#Despite favorable binding energies in in silico screening, most of the compounds exhibited negligible inhibition on the growth of the K. pneumoniae clinical isolate in in vitro assays. This may be attributed to the fact that a phenotypic whole-cell assay, instead of an enzyme-targeted assay, was used for validation. Cell permeability requires a different set of molecular parameters which were not part of the study. Doxorubicin exhibited the highest in vitro bactericidal activity against this strain, which agrees with its known activity against many other bacterial pathogens and may be a promising compound for further lead optimization.

Recent advances in the translation of drug metabolism and pharmacokinetics science for drug discovery and development

Drug metabolism and pharmacokinetics (DMPK) is an important branch of pharmaceutical sciences. The nature of ADME (absorption, distribution, metabolism, excretion) and PK (pharmacokinetics) inquiries during drug discovery and development has evolved in recent years from being largely descriptive to seeking a more quantitative and mechanistic understanding of the fate of drug candidates in biological systems. Tremendous progress has been made in the past decade, not only in the characterization of physiochemical properties of drugs that influence their ADME, target organ exposure, and toxicity, but also in the identification of design principles that can minimize drug-drug interaction (DDI) potentials and reduce the attritions. The importance of membrane transporters in drug disposition, efficacy, and safety, as well as the interplay with metabolic processes, has been increasingly recognized. Dramatic increases in investments on new modalities beyond traditional small and large molecule drugs, such as peptides, oligonucleotides, and antibody-drug conjugates, necessitated further innovations in bioanalytical and experimental tools for the characterization of their ADME properties. In this review, we highlight some of the most notable advances in the last decade, and provide future perspectives on potential major breakthroughs and innovations in the translation of DMPK science in various stages of drug discovery and development.