Future drug discovery最新文献

{"title":"The role of immunotherapy in treating lung cancer: current status and future perspective","authors":"Carlton Bijesh Ray, Vinesan Vijayarasa, Maariyah Vankad, M. Sherif, A. Harky","doi":"10.4155/fdd-2021-0006","DOIUrl":"https://doi.org/10.4155/fdd-2021-0006","url":null,"abstract":"Lung cancers have the worst incident and mortality rates. Cancers such as advanced non-small-cell lung carcinomas are inoperable and often the only treatment available is chemo-radiotherapy. There has been little improvement in long-term survival recently, prompting research into novel treatments. Immune checkpoint inhibitors (ICIs) are a form of immunotherapy used in lung cancer. The efficacy of ICIs is dependent on: the part of the pathway affected; the presence of prognostic biomarkers; the method of efficacy assessment; the stage of the disease and other drugs involved. Monoclonal antibodies, Toll-like receptor agonists and cancer vaccines have shown modest effects on survival. Refinement of treatment regimens and prognostic biomarkers will help improve the survival of patients in the future.","PeriodicalId":73122,"journal":{"name":"Future drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48970587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Role of pharmaceutical sciences in future drug discovery","authors":"S. Bonam, M. Sekar, Girija S Guntuku, S. G. Nerella, Krishna M Pawar A, S. Challa, Gopala Kmt Eswara, Sivamma Mettu","doi":"10.4155/fdd-2021-0005","DOIUrl":"https://doi.org/10.4155/fdd-2021-0005","url":null,"abstract":"The recent emergence of COVID-19 influenced the layman’s knowledge of drugs. Although several drugs have been discovered serendipitously, research has moved to the next-generation era of drug discovery. The use of drugs is inevitable and they have become lifesavers in the present era. Although research from different scientific backgrounds has supported the translational research of drug discovery, the prime role of pharmacy has to be remembered. Here we have summarized the role of some important subjects in pharmacy education, which have paved different ways in drug discovery and development.","PeriodicalId":73122,"journal":{"name":"Future drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47969352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biofabrication of advanced in vitro and ex vivo cancer models for disease modeling and drug screening","authors":"Kylie G. Nairon, A. Skardal","doi":"10.4155/fdd-2020-0034","DOIUrl":"https://doi.org/10.4155/fdd-2020-0034","url":null,"abstract":"Bioengineered in vitro models have advanced from 2D cultures and simple 3D cell aggregates to more complex organoids and organ-on-a-chip platforms. This shift has been substantial in cancer research; while simple systems remain in use, multi-tissue type tumor and tissue chips and patient-derived tumor organoids have grown rapidly. These more advanced models offer new tools to cancer researchers based on human tumor physiology and the potential for interactions with nontumor tissue physiology while avoiding critical differences between human and animal biology. In this focused review, the authors discuss the importance of organoid and organ-on-a-chip platforms, with a particular focus on modeling cancer, to highlight oncology-focused in vitro model platform technologies that improve upon the simple 2D cultures and 3D spheroid models of the past.","PeriodicalId":73122,"journal":{"name":"Future drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45983601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An interview with Dr. Mike Robertson on the development of novel drugs for HIV treatment in diverse populations","authors":"Michael Robertson","doi":"10.4155/fdd-2021-0007","DOIUrl":"https://doi.org/10.4155/fdd-2021-0007","url":null,"abstract":"","PeriodicalId":73122,"journal":{"name":"Future drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47179990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence in drug design: algorithms, applications, challenges and ethics","authors":"A. Arabi","doi":"10.4155/FDD-2020-0028","DOIUrl":"https://doi.org/10.4155/FDD-2020-0028","url":null,"abstract":"The discovery paradigm of drugs is rapidly growing due to advances in machine learning (ML) and artificial intelligence (AI). This review covers myriad faces of AI and ML in drug design. There is a plethora of AI algorithms, the most common of which are summarized in this review. In addition, AI is fraught with challenges that are highlighted along with plausible solutions to them. Examples are provided to illustrate the use of AI and ML in drug discovery and in predicting drug properties such as binding affinities and interactions, solubility, toxicology, blood–brain barrier permeability and chemical properties. The review also includes examples depicting the implementation of AI and ML in tackling intractable diseases such as COVID-19, cancer and Alzheimer’s disease. Ethical considerations and future perspectives of AI are also covered in this review.","PeriodicalId":73122,"journal":{"name":"Future drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46105665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"COVID-19 vaccines: challenges and promises of trials, manufacturing and allocation of doses","authors":"B. Spadaro","doi":"10.4155/fdd-2020-0031","DOIUrl":"https://doi.org/10.4155/fdd-2020-0031","url":null,"abstract":"Tweetable abstract Reflections on challenges and promises of COVID-19 vaccine development show opportunities for innovation and collaboration between stakeholders.","PeriodicalId":73122,"journal":{"name":"Future drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44590936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of potential anti-COVID-19 therapies","authors":"Clare L Box, Kevin S J Thompson","doi":"10.4155/fdd-2020-0029","DOIUrl":"https://doi.org/10.4155/fdd-2020-0029","url":null,"abstract":"COVID-19 – the infectious disease caused by the SARS-CoV-2 virus, a member of the ssRNA coronavirus family – has given rise to over 51.5 million confirmed infections and 1,275,979 deaths worldwide, as of 12 November 2020 [1]. It is known to be related to both the SARS-CoV and MERS-CoV viruses, responsible for severe acute respiratory syndrome and Middle East respiratory syndrome, respectively [2–4]. Human-to-human transmission of COVID-19 is widely recognized to be through a respiratory mechanism [3]. The severity of the disease ranges from asymptomatic to fatal [4,5]. The main reported symptoms include fever, nonproductive cough and loss of taste and smell, with severe cases reporting acute respiratory distress, viral pneumonia and requiring intubation and mechanical ventilation [1,4,6]. To date, there is no clinically approved vaccine available, nor any antiviral drug treatment for severe cases of this disease [1,4].\u0000 Virus-encoded anti-infective targets\u0000 A number of potential drug targets expressed by members of the coronavirus family have been identified. These include the ‘Spike’ glycoprotein, a trimer that binds to ACE2 on the host cell membrane [3,4]. This allows fusion of the viral and host cell membranes and viral entry into the cell [3]. Other potential targets include the cysteine proteases – 3CLpro (also known as Mpro) and PLpro – which are essential for production of new mature virions [7,8]. Another potential target is RdRP, which is needed for replication of the viral genome [5].\u0000 Drug repurposing\u0000 In order to rapidly progress new drug therapies into clinical use against COVID-19, drug repurposing has been widely investigated [9]. This has the advantage that potential therapeutics have already been approved for use in humans [9]. Virtual screening has been widely employed to aid in the repurposing of existing drug therapies for COVID-19 [2,10]. This approach is more rapid and economical than conventional lab-based testing. A number of potential drug treatments have been identified using this process. These include remdesivir, previously used for treatment of the Ebola and hepatitis C viruses and ribavirin, previously used for treatment of respiratory syncytial virus infection, hepatitis C and some hemorrhagic fevers. Remdesivir is reported to target RdRP, whereas ribavirin has been reported to target both 3CLpro and RdRP [2,6,11]. Recently, the US FDA (MD, USA) approved the use of remdesivir for COVID-19 patients aged over 12 years [12]. However, the WHO (Geneva, Switzerland) have released unpublished data from a clinical trial suggesting remdesivir does not reduce the mortality rate, shorten hospital stays or reduce the need for ventilation in patients with severe COVID-19 [1]. Other clinical trials of drug combinations are still ongoing.\u0000 Development of new therapeutic antiviral agents\u0000 The need to develop novel, targeted antivirals to treat SARS-CoV-2 infection is clear. However, the drug discovery and development process is lik","PeriodicalId":73122,"journal":{"name":"Future drug discovery","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4155/fdd-2020-0029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43847803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-throughput approaches of diagnosis and therapies for COVID-19: antibody panels, proteomics and metabolomics","authors":"Rwik Sen","doi":"10.4155/fdd-2020-0027","DOIUrl":"https://doi.org/10.4155/fdd-2020-0027","url":null,"abstract":"The urgent need for diagnostics and therapeutics against the COVID-19 pandemic has shown the great potential of antibodies, proteomics and metabolomics in this direction. Several clinical trials are underway using antibodies from COVID-19 patients that show very specific and strong binding to viral proteins leading to neutralization. On the other hand, proteomic and metabolomic profiles of COVID-19 patients present novel diagnostic biomarkers to predict patient outcomes and enable the development of personalized therapeutics to target the dysregulated pathways, as revealed by those profiles. Here, we discuss how studies based on antibodies, proteomics and metabolomics contribute to the development of diagnostics and therapeutics against COVID-19. The elegant technology can extend to high-throughput, rapid and reliable drug discovery strategies of the future.","PeriodicalId":73122,"journal":{"name":"Future drug discovery","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70334130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<i>Withania somnifera</i> as a potential future drug molecule for COVID-19.","authors":"Vivek K Kashyap, Anupam Dhasmana, Murali M Yallapu, Subhash C Chauhan, Meena Jaggi","doi":"10.4155/fdd-2020-0024","DOIUrl":"10.4155/fdd-2020-0024","url":null,"abstract":"","PeriodicalId":73122,"journal":{"name":"Future drug discovery","volume":"2 4","pages":"FDD50"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/e7/1f/fdd-02-50.PMC7702281.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10549755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Overcoming nonstructural protein 15-nidoviral uridylate-specific endoribonuclease (nsp15/NendoU) activity of SARS-CoV-2","authors":"Suranga L Senanayake","doi":"10.4155/fdd-2020-0012","DOIUrl":"https://doi.org/10.4155/fdd-2020-0012","url":null,"abstract":"COVID-19 has become the gravest global public health crisis since the Spanish Flu of 1918. Combination antiviral therapy with repurposed broad-spectrum antiviral agents holds a highly promising immediate treatment strategy, especially given uncertainties of vaccine efficacy and developmental timeline. Here, we describe a novel hypothetical approach: combining available broad-spectrum antiviral agents such as nucleoside analogs with potential inhibitors of NendoU, for example nsp15 RNA substrate mimetics. While only hypothesis-generating, this approach may constitute a ‘double-hit’ whereby two CoV-unique protein elements of the replicase–transcriptase complex are inhibited simultaneously; this may be an Achilles' heel and precipitate lethal mutagenesis in a coronavirus. It remains to be seen whether structurally optimized RNA substrate mimetics in combination with clinically approved and repurposed backbone antivirals can synergistically inhibit this endonuclease in vitro, thus fulfilling the ‘double-hit hypothesis’.","PeriodicalId":73122,"journal":{"name":"Future drug discovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4155/fdd-2020-0012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44421856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}