Lingdi Nie, Courtney Irwin, Sarah Geahchan, Karun K Singh
{"title":"Human pluripotent stem cell (hPSC)-derived models for autism spectrum disorder drug discovery.","authors":"Lingdi Nie, Courtney Irwin, Sarah Geahchan, Karun K Singh","doi":"10.1080/17460441.2024.2416484","DOIUrl":"10.1080/17460441.2024.2416484","url":null,"abstract":"<p><strong>Introduction: </strong>Autism spectrum disorder (ASD) is a prevalent and complex neurodevelopmental disorder (NDD) with genetic and environmental origins. Currently, there are no effective pharmacological treatments targeting core ASD features. This leads to unmet medical needs of individuals with ASD and requires relevant human disease models recapitulating genetic and clinical heterogeneity to better understand underlying mechanisms and identify potential pharmacological therapies. Recent advancements in stem cell technology have enabled the generation of human pluripotent stem cell (hPSC)-derived two-dimensional (2D) and three-dimensional (3D) neural models, which serve as powerful tools for ASD modeling and drug discovery.</p><p><strong>Areas covered: </strong>This article reviews the applications of hPSC-derived 2D and 3D neural models in studying various forms of ASD using pharmacological perturbation and drug screenings, highlighting the potential use of these models to develop novel pharmacological treatment strategies for ASD.</p><p><strong>Expert opinion: </strong>hPSC-derived models recapitulate early human brain development spatiotemporally and have allowed patient-specific mechanistic investigation and therapeutic development using advanced molecular technologies, which will contribute to precision medicine for ASD therapy. Improvements are still required in hPSC-based models to further enhance their physiological relevance, clinical translation, and scalability for ASD drug discovery.</p>","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"233-251"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lessons learned from phenotypic drug discovery efforts.","authors":"David C Swinney","doi":"10.1080/17460441.2024.2442741","DOIUrl":"10.1080/17460441.2024.2442741","url":null,"abstract":"","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"141-144"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mareike Mertens, Leen Khalife, Xiaoting Ma, Olaf Bodamer
{"title":"Animal models of Kabuki syndrome and their applicability to novel drug discovery.","authors":"Mareike Mertens, Leen Khalife, Xiaoting Ma, Olaf Bodamer","doi":"10.1080/17460441.2025.2457624","DOIUrl":"10.1080/17460441.2025.2457624","url":null,"abstract":"<p><strong>Introduction: </strong>Kabuki Syndrome (KS) is a rare genetic disorder characterized by distinctive facial features, intellectual disability, and multiple congenital anomalies. It is caused by pathogenic variants in the <i>KMT2D</i> and <i>KDM6A</i> genes. Despite its significant disease burden, there are currently no approved therapies for KS, highlighting the need for advanced research and therapeutic development.</p><p><strong>Areas covered: </strong>This review examines the use of animal models in KS research, including mice, fish, frogs, and nematodes. These models replicate key mechanistic and clinical aspects of Kabuki Syndrome, facilitating preclinical studies to demonstrate therapeutic efficacy. The literature search focused on identifying studies that utilized these models to investigate the pathophysiology of Kabuki Syndrome and evaluate potential treatments.</p><p><strong>Expert opinion: </strong>Refining animal models is essential to enhance their relevance to human disease and accelerate the development of effective therapies for Kabuki Syndrome. Insights from these models are invaluable in understanding underlying molecular mechanisms and identifying therapeutic targets. Continued research and collaboration are crucial to translating these findings into clinical practice, offering hope for future treatments.</p>","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"253-265"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143037768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Approach advancements for engineering novel peptide analogs of existing lantibiotics: where are we today?","authors":"Thushinari Joseph, Leif Smith","doi":"10.1080/17460441.2024.2441351","DOIUrl":"10.1080/17460441.2024.2441351","url":null,"abstract":"<p><strong>Introduction: </strong>The emergence of antibiotic resistance among the clinically important bacterial pathogens has increased healthcare costs and reduced patient safety and quality of life. Lantibiotics is a large class of ribosomally synthesized, and posttranslationally modified peptides have been the primary focus of numerous research aimed at discovering compounds for treating bacterial infections.</p><p><strong>Areas covered: </strong>The article explains the most up to date hierarchy of methods followed in the field for high throughput screening of lantibiotics/analogs with improved therapeutic properties. Herein, we explain how the structure and the biosynthesis of lantibiotics can be manipulated for the expansion of the horizon of lantibiotic potency. Furthermore, we discuss the lantibiotic analogs that have demonstrated the efficacy against bacterial pathogens of interest in animal models.</p><p><strong>Expert opinion: </strong>In this current age of rapidly advancing antimicrobial resistance, there is a dire need for the development of therapeutic agents that possess distinct mechanisms of action to existing modes of treatment. Recent advances in the understanding of many of the lantibiotic biosynthesis systems and the discovery of new analogs with superior properties to the native compound may have paved the way for the development of a much-needed novel potent class of antibiotic.</p>","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"17-30"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142817733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jana Lemke, Maik Gollasch, Dmitry Tsvetkov, Lukas Schulig
{"title":"Advances in the design and development of chemical modulators of the voltage-gated potassium channels K<sub>V</sub>7.4 and K<sub>V</sub>7.5.","authors":"Jana Lemke, Maik Gollasch, Dmitry Tsvetkov, Lukas Schulig","doi":"10.1080/17460441.2024.2438226","DOIUrl":"10.1080/17460441.2024.2438226","url":null,"abstract":"<p><strong>Introduction: </strong>Hypertension remains a major public health concern, with significant morbidity and mortality worldwide. Despite the availability of various antihypertensive medications, blood pressure control remains suboptimal in many individuals. During the last decades, K<sub>V</sub>7.4 and K<sub>V</sub>7.5, which were already known from the view of neuronal regulation, emerged as possible important players in the regulation of vascular tone and blood pressure.</p><p><strong>Areas covered: </strong>This review covers physiological functions and current advancements in the development of K<sub>V</sub>7.4 and K<sub>V</sub>7.5 channel modulators. The authors highlight the structural elements likely to be important for the future design of K<sub>V</sub>7 subtype-selective modulators, underscoring their potential as an innovative hypertension treatment.</p><p><strong>Expert opinion: </strong>Extensive research has been focused on targeting neuronal K<sub>V</sub>7.2 and K<sub>V</sub>7.3 channels, while K<sub>V</sub>7.4 and K<sub>V</sub>7.5 attracted less attention. Many of the developed compounds represent derivatives of flupirtine or retigabine, whereby subtype channel selectivity has only been demonstrated for a handful of individual compounds. Novel substances address additional sites within the binding pocket by incorporating new functional groups. A comprehensive and systematic evaluation of a compound set with significant subtype selectivity should be performed. The discovery of new highly active, less toxic, and selective compounds, therefore, remains the goal of further research in the coming years.</p>","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"47-62"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A cautionary tale of paradox and false positives in cannabidiol research.","authors":"Peter S Cogan","doi":"10.1080/17460441.2024.2441359","DOIUrl":"10.1080/17460441.2024.2441359","url":null,"abstract":"<p><strong>Introduction: </strong>Decades of research on cannabidiol (CBD) have identified thousands of purported cellular effects, and many of these have been proposed to correlate with a vast therapeutic potential. Yet despite the large volume of findings fueling broad optimism in this regard, few have translated into any demonstrable clinical benefit or even notable side effects. Therein resides the great paradox of CBD: a drug that appears to affect almost everything <i>in vitro</i> does not clearly do much of anything in a clinical setting.</p><p><strong>Areas covered: </strong>Comparative critical evaluation of literature searched in PubMed and Google Scholar discovers multiple instances of inconsistent and contradictory findings regarding the pharmacology and clinical effects of CBD, as well as several uncelebrated reports that suggest potential explanations for these observations. Many of those effects attributed to the ostensible pharmacologic activity of cannabidiol are almost certainly the product of false-positive experimental results and artifactual findings that are unlikely to be realized under physiologic conditions.</p><p><strong>Expert opinion: </strong>Concerns regarding the physiological relevance and translational potential of <i>in vitro</i> findings across the field of cannabinoid research are both far-reaching and demanding of attention in the form of appropriate experimental controls that remain almost universally absent.</p>","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"5-15"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142812531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evolution of antisense oligonucleotides: navigating nucleic acid chemistry and delivery challenges.","authors":"Ruchi Ruchi, Govind Mukesh Raman, Vikas Kumar, Raman Bahal","doi":"10.1080/17460441.2024.2440095","DOIUrl":"10.1080/17460441.2024.2440095","url":null,"abstract":"<p><strong>Introduction: </strong>Antisense oligonucleotide (ASO) was established as a viable therapeutic option for genetic disorders. ASOs can target RNAs implicated in various diseases, including upregulated mRNA and pre-mRNA undergoing abnormal alternative splicing events. Therapeutic applications of ASOs have been proven with the Food and Drug Administration approval of several drugs in recent years. Earlier enzymatic stability and delivery remains a big challenge for ASOs. Introducing new chemical modifications and new formulations resolving the issues related to the nuclease stability and delivery of the ASOs. Excitingly, ASOs-based bioconjugates that target the hepatocyte have gained much attraction. Efforts are ongoing to increase the therapeutic application of the ASOs to the extrahepatic tissue as well.</p><p><strong>Area covered: </strong>We have briefly discussed the mechanism of ASOs, the development of new chemistries, and delivery strategies for ASO-based drug discovery and development. The discussion focuses more on the already approved ASOs and those in the clinical development stage.</p><p><strong>Expert opinion: </strong>To expand the clinical application of ASOs, continuous effort is required to develop precise delivery strategies for targeting extrahepatic tissue to minimize the off-target effects.</p>","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"63-80"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11823135/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142799877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Validation guidelines for drug-target prediction methods.","authors":"Ziaurrehman Tanoli, Aron Schulman, Tero Aittokallio","doi":"10.1080/17460441.2024.2430955","DOIUrl":"10.1080/17460441.2024.2430955","url":null,"abstract":"<p><strong>Introduction: </strong>Mapping the interactions between pharmaceutical compounds and their molecular targets is a fundamental aspect of drug discovery and repurposing. Drug-target interactions are important for elucidating mechanisms of action and optimizing drug efficacy and safety profiles. Several computational methods have been developed to systematically predict drug-target interactions. However, computational and experimental validation of the drug-target predictions greatly vary across the studies.</p><p><strong>Areas covered: </strong>Through a PubMed query, a corpus comprising 3,286 articles on drug-target interaction prediction published within the past decade was covered. Natural language processing was used for automated abstract classification to study the evolution of computational methods, validation strategies and performance assessment metrics in the 3,286 articles. Additionally, a manual analysis of 259 studies that performed experimental validation of computational predictions revealed prevalent experimental protocols.</p><p><strong>Expert opinion: </strong>Starting from 2014, there has been a noticeable increase in articles focusing on drug-target interaction prediction. Docking and regression stands out as the most commonly used techniques among computational methods, and cross-validation is frequently employed as the computational validation strategy. Testing the predictions using multiple, orthogonal validation strategies is recommended and should be reported for the specific target prediction applications. Experimental validation remains relatively rare and should be performed more routinely to evaluate biological relevance of predictions.</p>","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"31-45"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142681195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrated machine learning and physics-based methods assisted de novo design of Fatty Acyl-CoA synthase inhibitors.","authors":"Atul Pawar, Hemchandra Deka, Monishka Battula, Hossam M Aljawdah, Preeti Chunarkar Patil, Rupesh Chikhale","doi":"10.1080/17460441.2024.2432972","DOIUrl":"10.1080/17460441.2024.2432972","url":null,"abstract":"<p><strong>Background: </strong>Tuberculosis is an infectious disease that has become endemic worldwide. The causative bacteria <i>Mycobacterium tuberculosis</i> (Mtb) is targeted via several exciting drug targets. One newly discovered target is the Fatty Acyl-CoA synthase, which plays a significant role in activating the long-chain fatty acids.</p><p><strong>Research design & methods: </strong>This study aims to generate novel compounds using Machine Learning (ML) algorithms to inhibit this synthase. Experimentally derived bioactive compounds were chosen from ChEMBL and used as inputs for effective molecule generation by Reinvent4. The library of new molecules generated was subjected to a two-tiered molecular docking protocol, and the results were further studied to obtain a binding free energy check.</p><p><strong>Results: </strong>The ML-based de novo drug design (DNDD) approach successfully generated a diverse library of novel molecules targeting Fatty Acyl-CoA synthase. After rigorous molecular docking and binding free energy analysis, four new compounds were identified as potential lead candidates with promising inhibitory effects on Mtb lipid metabolism.</p><p><strong>Conclusions: </strong>The study demonstrated the effectiveness of a machine-learning approach in generating novel drug candidates against Mtb. The identified hit compounds show potential as inhibitors of Fatty Acyl-CoA synthase, offering a new avenue for developing treatments for tuberculosis, particularly in combating drug-resistant strains.</p>","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"123-135"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142715894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael G Bertram, Bob B M Wong, Klaus Kümmerer, Manuela Jörg
{"title":"Development of environmentally biodegradable drugs: what are the key challenges?","authors":"Michael G Bertram, Bob B M Wong, Klaus Kümmerer, Manuela Jörg","doi":"10.1080/17460441.2024.2442746","DOIUrl":"10.1080/17460441.2024.2442746","url":null,"abstract":"","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"1-4"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142863772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}