NPJ drug discovery最新文献

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A Metabolism-Informed Neural Network Identifies Pathways Influencing the Potency and Toxicity of Antimicrobial Combinations. 代谢信息神经网络识别影响抗菌药物组合效力和毒性的途径。
NPJ drug discovery Pub Date : 2026-01-01 Epub Date: 2026-04-01 DOI: 10.1038/s44386-026-00042-9
Harkirat Singh Arora, Katherine Lev, Aaron Robida, Ramraj Velmurugan, Sriram Chandrasekaran
{"title":"A Metabolism-Informed Neural Network Identifies Pathways Influencing the Potency and Toxicity of Antimicrobial Combinations.","authors":"Harkirat Singh Arora, Katherine Lev, Aaron Robida, Ramraj Velmurugan, Sriram Chandrasekaran","doi":"10.1038/s44386-026-00042-9","DOIUrl":"10.1038/s44386-026-00042-9","url":null,"abstract":"<p><p>Antimicrobial resistance poses a major global threat, driven by diminishing efficacy of current treatments and limited new therapies. Combination therapy with existing drugs offers a promising solution, yet current empirical screening methods are expensive and often lead to suboptimal efficacy and inadvertent toxicity. We introduce CALMA, a computational framework that quantitatively analyzes the potency-toxicity landscape of multi-drug combinations. Integrating genome-scale metabolic modeling with a neural network that reflects metabolic subsystems, CALMA enhances interpretability and prioritizes pathways influencing drug interactions. The incorporation of metabolic architecture in the neural network leads to over 92% reduction in model parameters, enabling it to learn generalizable mechanistic signals and reducing the experimental search space of optimal combinations by 97%. CALMA identified promising antimicrobial combinations against <i>Escherichia coli</i> and <i>Mycobacterium tuberculosis</i> that were antagonistic for kidney and liver toxicity and uncovered the nucleotide salvage pathway as a selective influencer of toxicity, which was validated in vitro. Mining of health records of over 400,000 patients showed reduced frequency of kidney side-effects in patients taking a vancomycin combination identified by CALMA. CALMA provides a rational, mechanistic approach to streamline combination treatment design.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":"11"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13043290/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147625467","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}
引用次数: 0
Large animal models for the assessment of snakebite envenoming therapies. 用于评估蛇咬伤治疗的大型动物模型。
NPJ drug discovery Pub Date : 2026-01-01 Epub Date: 2026-04-01 DOI: 10.1038/s44386-026-00043-8
Melisa Benard-Valle, Shirin Ahmadi, Cassandra M Modahl, Edgar Neri-Castro, Alejandro Alagón, Leslie Boyer, Anne Ljungars, Andreas H Laustsen
{"title":"Large animal models for the assessment of snakebite envenoming therapies.","authors":"Melisa Benard-Valle, Shirin Ahmadi, Cassandra M Modahl, Edgar Neri-Castro, Alejandro Alagón, Leslie Boyer, Anne Ljungars, Andreas H Laustsen","doi":"10.1038/s44386-026-00043-8","DOIUrl":"10.1038/s44386-026-00043-8","url":null,"abstract":"<p><p>Snakebite envenoming causes over 100,000 deaths annually, creating a need for more effective therapies. Traditionally, most preclinical testing relies on murine models with limited translational value. This review highlights the value of large animal models, particularly sheep and pigs, for studying venom toxicokinetics and antibody and small-molecule pharmacokinetics. Implementing clear guidelines and standardized endpoints in large-animal studies could help advance the clinical translation of new snakebite treatments.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":"12"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13043284/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147625480","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}
引用次数: 0
Accelerating GPCR drug discovery through computation and experiment integrated with direct detection of ligand binding events. 通过计算和实验结合直接检测配体结合事件,加速GPCR药物发现。
NPJ drug discovery Pub Date : 2026-01-01 Epub Date: 2026-04-09 DOI: 10.1038/s44386-026-00046-5
Judith Su, Stephen B Liggett, Soo-Kyung Kim, Donghwa Kim, William A Goddard
{"title":"Accelerating GPCR drug discovery through computation and experiment integrated with direct detection of ligand binding events.","authors":"Judith Su, Stephen B Liggett, Soo-Kyung Kim, Donghwa Kim, William A Goddard","doi":"10.1038/s44386-026-00046-5","DOIUrl":"10.1038/s44386-026-00046-5","url":null,"abstract":"<p><p>We present a perspective on an integrated workflow for GPCR drug discovery that combines computational modeling, functional cellular assays, and FLOWER, a label-free ultra-sensitive optical biosensing system for quantitating direct ligand receptor binding. We use bitter and sweet taste receptors (TAS2Rs and T1R2/T1R3) as examples of how FLOWER resolves receptor activation mechanisms left ambiguous after in silico screening and cell assays. This workflow offers a generalizable strategy for accelerating the discovery of selective and mechanism informed GPCR targeting therapeutics.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":"13"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13065477/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147680130","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}
引用次数: 0
A review of deep learning approaches for drug synergy prediction in cancer. 癌症药物协同作用预测的深度学习方法综述。
NPJ drug discovery Pub Date : 2025-12-16 DOI: 10.1038/s44386-025-00034-1
Lei Li, Hongyu Zhang, Chunhou Zheng, Yansen Su
{"title":"A review of deep learning approaches for drug synergy prediction in cancer.","authors":"Lei Li, Hongyu Zhang, Chunhou Zheng, Yansen Su","doi":"10.1038/s44386-025-00034-1","DOIUrl":"10.1038/s44386-025-00034-1","url":null,"abstract":"<p><p>Synergistic drug combinations enhance cancer treatment by improving efficacy and reducing toxicity. With advances in artificial intelligence and large-scale datasets, deep learning has become central to anti-cancer drug synergy prediction. This review summarizes classical and emerging deep learning models from single-task learning and multi-task learning perspectives, discusses data and technical challenges, and highlights future directions for advancing computational drug synergy prediction.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13267116/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148364758","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}
引用次数: 0
Preclinical characterization of EGT710, an oral non-peptidomimetic reversible covalent SARS-CoV-2 main protease inhibitor. 口服非肽类可逆性共价SARS-CoV-2主要蛋白酶抑制剂EGT710的临床前特征
NPJ drug discovery Pub Date : 2025-11-28 DOI: 10.1038/s44386-025-00030-5
Stephanie A Moquin, Suresh B Lakshminarayana, Kamal Kumar Balavenkatraman, Hilmar Schiller, Allison Claas, Barun Bhhatarai, Ioannis Loisios-Konstantinidis, Katarina Vulic, Chaitanya Kurhade, Birte K Kalveram, John Yun-Chung Chen, Jing Zou, Xuping Xie, Laura Tandeske, Dustin Dovala, Elizabeth Ornelas, Mark S Knapp, Daniel Fuller, Zachary Nguyen, David T Barkan, Lidiya Bebrevska, S Kirk Wright, Scott A Busby, Johanne Blais, Pei-Yong Shi, Suzanne Gaudet, Renee Bergeron, Hannah Yu, Julia Zack, Christopher Sarko, Feng Gu, James E Bradner, John A Tallarico, Thierry T Diagana, Julien P N Papillon
{"title":"Preclinical characterization of EGT710, an oral non-peptidomimetic reversible covalent SARS-CoV-2 main protease inhibitor.","authors":"Stephanie A Moquin, Suresh B Lakshminarayana, Kamal Kumar Balavenkatraman, Hilmar Schiller, Allison Claas, Barun Bhhatarai, Ioannis Loisios-Konstantinidis, Katarina Vulic, Chaitanya Kurhade, Birte K Kalveram, John Yun-Chung Chen, Jing Zou, Xuping Xie, Laura Tandeske, Dustin Dovala, Elizabeth Ornelas, Mark S Knapp, Daniel Fuller, Zachary Nguyen, David T Barkan, Lidiya Bebrevska, S Kirk Wright, Scott A Busby, Johanne Blais, Pei-Yong Shi, Suzanne Gaudet, Renee Bergeron, Hannah Yu, Julia Zack, Christopher Sarko, Feng Gu, James E Bradner, John A Tallarico, Thierry T Diagana, Julien P N Papillon","doi":"10.1038/s44386-025-00030-5","DOIUrl":"10.1038/s44386-025-00030-5","url":null,"abstract":"<p><p>EGT710 is an orally bioavailable non-peptidomimetic reversible covalent coronavirus main protease (Mpro) inhibitor with low nM cellular activity against SARS-CoV-2. Twice daily dosing of 10 mg/kg of EGT710 decreased lung viral load in a mouse model of SARS-CoV-2 infection to below the limit of detection. Resistance selection resulted in the emergence of several Mpro mutations, with recombinant viruses containing L50F + E166A substitutions showing the largest shift in potency. Development of a viral kinetics model using viremia data from clinical trials, along with a human physiologically based pharmacokinetic model, predicted efficacy in humans with once daily oral doses of >360 mg. EGT710 displays favorable pharmacokinetic properties and an acceptable in vitro and in vivo safety profile, with human exposures at the recommended clinical dose of 600 mg predicted to be below the no adverse effect level in preclinical toxicology studies. Together, EGT710 has a promising preclinical profile and has completed a Phase I study.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13267108/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148364644","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}
引用次数: 0
A novel drug series optimized to address cystic fibrosis and other CFTR deficiency diseases of human airways. 一种新型药物系列优化治疗囊性纤维化和其他CFTR缺乏性疾病的人类气道。
NPJ drug discovery Pub Date : 2025-11-03 DOI: 10.1038/s44386-025-00026-1
Andras Rab, Jeong S Hong, Candela Manfredi, Disha Joshi, Sadhana Ponnaluri, William F Tracy, Yujie Luo, Xun Yang, Alexander A Kolykhalov, Huw M L Davies, Eric J Sorscher
{"title":"A novel drug series optimized to address cystic fibrosis and other CFTR deficiency diseases of human airways.","authors":"Andras Rab, Jeong S Hong, Candela Manfredi, Disha Joshi, Sadhana Ponnaluri, William F Tracy, Yujie Luo, Xun Yang, Alexander A Kolykhalov, Huw M L Davies, Eric J Sorscher","doi":"10.1038/s44386-025-00026-1","DOIUrl":"10.1038/s44386-025-00026-1","url":null,"abstract":"<p><p>Pharmacologic activation of the cystic fibrosis transmembrane conductance regulator (CFTR) has transformed cystic fibrosis (CF) therapy. Other, more common airway diseases can also be associated with CFTR deficiency. For example, individuals with one dysfunctional CFTR variant (i.e., CF carriers), as well as those with acquired CFTR deficiency, are predisposed to both non-CF bronchiectasis and chronic rhinosinusitis, raising the possibility that CFTR stimulation in these settings could provide clinical improvement. This study describes a new triazolo-thiadiazine-based compound series optimized to augment mutant and wildtype CFTR function when administered topically to airway epithelium. Mechanism of action appears attributable-at least in part-to phosphodiesterase 4 inhibition (PDE4i), with effects on other PDEs also noted. Together with a growing body of previous and emerging evidence, our results suggest a novel therapeutic strategy for treating people with CF (PwCF) who lack access to effective modulator therapy-and addressing common diseases such as chronic bronchiectasis and rhinosinusitis in the non-CF population.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13267069/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148364776","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}
引用次数: 0
Mechanisms that matter: unbiased cellular screening for degraders. 重要的机制:对降解物进行无偏见的细胞筛选。
NPJ drug discovery Pub Date : 2025-10-17 DOI: 10.1038/s44386-025-00028-z
Helen E Burston, Elizabeth M Rosethorne, Francesca Cavallo, Allan Jordan, Prasamit S Baruah, Denise Swift, Roland Hjerpe
{"title":"Mechanisms that matter: unbiased cellular screening for degraders.","authors":"Helen E Burston, Elizabeth M Rosethorne, Francesca Cavallo, Allan Jordan, Prasamit S Baruah, Denise Swift, Roland Hjerpe","doi":"10.1038/s44386-025-00028-z","DOIUrl":"10.1038/s44386-025-00028-z","url":null,"abstract":"<p><p>Recent discoveries have highlighted that small monovalent molecules can leverage a variety of cellular mechanisms to induce degradation of a specific target protein. This perspective exemplifies and contextualizes these mechanisms within drug discovery, with a focus on identification of novel monovalent degraders via cell-based high-throughput screening (HTS) methodologies. Considerations for screening strategies, assay technologies and mechanistic deconvolution are discussed, with emphasis on identification of degrader compounds from diverse compound collections.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13267098/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148364504","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}
引用次数: 0
Integrating artificial intelligence into small molecule development for precision cancer immunomodulation therapy. 将人工智能整合到小分子开发中,用于精准的癌症免疫调节治疗。
NPJ drug discovery Pub Date : 2025-10-01 DOI: 10.1038/s44386-025-00029-y
Henry Sutanto, Deasy Fetarayani
{"title":"Integrating artificial intelligence into small molecule development for precision cancer immunomodulation therapy.","authors":"Henry Sutanto, Deasy Fetarayani","doi":"10.1038/s44386-025-00029-y","DOIUrl":"10.1038/s44386-025-00029-y","url":null,"abstract":"<p><p>This perspective examines how artificial intelligence (AI) is transforming small-molecule development for precision cancer immunomodulation therapy. It outlines AI-driven approaches for de novo design, virtual screening, multi-parameter optimization, and ADMET prediction, targeting immune checkpoints, tumor microenvironment modulation, antigen presentation, and metabolic pathways. The article highlights patient stratification, multi-omics integration, digital twin simulations, translational challenges, and future directions, underscoring AI's potential to deliver effective, personalized immunomodulatory therapeutics.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13267099/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148364483","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}
引用次数: 0
Challenges and opportunities in computational studies for lipid nanoparticle development. 脂质纳米颗粒开发计算研究中的挑战和机遇。
NPJ drug discovery Pub Date : 2025-09-01 DOI: 10.1038/s44386-025-00024-3
Younghoon Oh, Sean K Bedingfield, Severin T Schneebeli, Jianing Li, Arezoo M Ardekani, Kyle J Colston, Scott P Brown
{"title":"Challenges and opportunities in computational studies for lipid nanoparticle development.","authors":"Younghoon Oh, Sean K Bedingfield, Severin T Schneebeli, Jianing Li, Arezoo M Ardekani, Kyle J Colston, Scott P Brown","doi":"10.1038/s44386-025-00024-3","DOIUrl":"10.1038/s44386-025-00024-3","url":null,"abstract":"<p><p>Lipid nanoparticles (LNPs) are essential carriers for genetic medicines, yet optimizing their design remains challenging due to numerous parameters. Computational methods-including molecular dynamics (MD), computational fluid dynamics (CFD), and machine learning (ML)-offer molecular insights and predictive power. This perspective highlights recent advances, ongoing challenges, and the need for multiscale modeling frameworks and standardized experimental datasets to systematically explore LNP design space and improve the efficacy of next-generation formulations.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13267057/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148364712","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}
引用次数: 0
Therapeutic safety implications of SARM1 active site inhibitors: subinhibitory concentrations cause neurodegeneration. SARM1活性位点抑制剂的治疗安全性:亚抑制浓度导致神经退行性变。
NPJ drug discovery Pub Date : 2025-08-25 DOI: 10.1038/s44386-025-00023-4
Rebecca R Leahey, Martin Weber, Chang Hoon Cho, Seong Kwon Hur, Amber Cramer, Karla Manzanares, Brett Babin, Gladys Boenig, Taylor Kring, Liling Liu, Yusi Cui, Anjani Ganti, John P Evans, Marika Nespi, Justin Ly, Alicia A Nugent, Samantha A Green, Bryan K Chan, Casper C Hoogenraad, Anton Delwig, Flora I Hinz
{"title":"Therapeutic safety implications of SARM1 active site inhibitors: subinhibitory concentrations cause neurodegeneration.","authors":"Rebecca R Leahey, Martin Weber, Chang Hoon Cho, Seong Kwon Hur, Amber Cramer, Karla Manzanares, Brett Babin, Gladys Boenig, Taylor Kring, Liling Liu, Yusi Cui, Anjani Ganti, John P Evans, Marika Nespi, Justin Ly, Alicia A Nugent, Samantha A Green, Bryan K Chan, Casper C Hoogenraad, Anton Delwig, Flora I Hinz","doi":"10.1038/s44386-025-00023-4","DOIUrl":"10.1038/s44386-025-00023-4","url":null,"abstract":"<p><p>SARM1, an octameric NADase, is a key regulator of axon degeneration and an emerging target in drug discovery to treat a range of neurodegenerative diseases. Recently, a structurally diverse series of adduct-forming, orthosteric SARM1 inhibitors have been discovered. Here, we show that subinhibitory concentrations of these inhibitors, under mildly SARM1 activating conditions, cause sustained SARM1 activation. This may present a critical liability for orthosteric SARM1 inhibitors in certain patient populations.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13267063/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148364701","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}
引用次数: 0
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