Yuzhou Wang, Dongsheng Cao, Xiangzheng Fu, Xiangxiang Zeng, Xiaojun Yao
{"title":"Physicochemical rule-embedded generative modeling for constrained peptide therapeutics.","authors":"Yuzhou Wang, Dongsheng Cao, Xiangzheng Fu, Xiangxiang Zeng, Xiaojun Yao","doi":"10.1038/s44386-026-00090-1","DOIUrl":"10.1038/s44386-026-00090-1","url":null,"abstract":"<p><p>Constrained peptides couple covalent topology, stereochemistry, three-dimensional structure, conformational dynamics and developability. We review physicochemical rule embedding across chemical-language, target-conditioned structural, geometric, atom-bond, ensemble and property-guided generative models, distinguishing generated molecular objects from downstream inference and predictions from prospective evidence. We identify limitations in chemical coverage, applicability, uncertainty and pipeline attribution, and routes towards identity-preserving, environment-aware and experimentally calibrated design.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13720008/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149303120","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}
Isabella E Jacobsen, Rui Shi, Cole R Scholtz, William C K Pomerantz, Gunda I Georg
{"title":"Design of Tissue-Selective PROTACs Through Recruiting E3 Ligase Scaffolding Protein MAGEA11.","authors":"Isabella E Jacobsen, Rui Shi, Cole R Scholtz, William C K Pomerantz, Gunda I Georg","doi":"10.1038/s44386-026-00081-2","DOIUrl":"10.1038/s44386-026-00081-2","url":null,"abstract":"<p><p>Proteolysis targeting chimeras (PROTACs) are an emerging therapeutic modality that induces protein degradation by recruiting E3 ligases. Most reported PROTACs recruit ubiquitously expressed E3 ligases, such as cereblon and the von Hippel-Lindau tumor suppressor. Of the additional 600 + E3 ligases, recruiting those with tissue-restricted expression is attractive for increasing the specificity of PROTACs. This work describes the first reported PROTAC that recruits the tissue-specific E3 ligase scaffolding protein MAGEA11. As an initial demonstration, bromodomain and extra-terminal domain (BET)-targeting PROTACs that recruit MAGEA11 were synthesized and screened in osteosarcoma U2OS cells, identifying lead compound 105B. 105B degrades BET proteins in U2OS cells (BRD4 DC₅₀ = 0.130 nM, D<sub>max</sub> = 78%) and KYSE180 esophageal squamous cell carcinoma cell lines (DC₅₀ = 40 nM, D<sub>max</sub> = 70%), but shows no degradation in non-cancerous HEK293T cells. Mechanistic studies confirmed 105B's dependence on the ubiquitin-proteasome system and MAGEA11 and HUWE1 expression. 105B decreased levels of BET-regulated gene products RUNX2 and KRT14; however, improvements are still necessary to affect selective cytotoxicity. This work reports the first example of a PROTAC that recruits a tissue-specific E3 ligase to enable cancer-restricted degradation of BET proteins and highlights the need for further development of MAGEA11-recruiting degraders.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13710757/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149280591","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}
Aseel Kashkush, Kisanet Tadesse, Binyamin Insler, Raphael I Benhamou
{"title":"Molecular glue mediated degradation of cannabinoid receptor 1 for cancer therapy.","authors":"Aseel Kashkush, Kisanet Tadesse, Binyamin Insler, Raphael I Benhamou","doi":"10.1038/s44386-026-00087-w","DOIUrl":"10.1038/s44386-026-00087-w","url":null,"abstract":"<p><p>The cannabinoid receptor type 1 (CB<sub>1</sub>R), a G protein-coupled receptor within the endocannabinoid system, has been implicated in oncogenic signaling and cancer progression. Here, we developed a series of compact covalent molecular glue degraders designed to reduce CB<sub>1</sub>R abundance by recruiting components of the ubiquitin-proteasome system. Using rimonabant as a CB<sub>1</sub>R-binding scaffold, we generated small molecules incorporating electrophilic E3 ligase-recruiting handles and identified MG-CB2 as the most active degrader. MG-CB2 induced concentration- and time-dependent depletion of CB<sub>1</sub>R in MCF-7 breast cancer and HepG2 hepatocellular carcinoma cells. Proteasome inhibition blocked MG-CB2-mediated CB<sub>1</sub>R loss, while RNF126 knockdown abrogated degradation, supporting a proteasome- and RNF126-dependent mechanism. Rimonabant competition and cellular thermal shift experiments further supported cellular engagement of CB<sub>1</sub>R by MG-CB2. CB<sub>1</sub>R degradation was accompanied by modulation of CB<sub>1</sub>R-associated signaling, including reduced phosphorylation of ERK and mTOR and decreased BCL2 expression, along with reduced cancer-cell viability and migration. These findings establish covalent molecular glue-mediated degradation as a strategy for modulating CB<sub>1</sub>R abundance and signaling and expand the application of targeted protein degradation to a transmembrane GPCR.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13710980/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149280549","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}
Hannah B L Jones, Simeon D Draganov, Sofia Schönbauer Huamán, Peter A C Wing, Chuong Nguyen, Zhu Liang, Julia Dörner, Jasper Lithgow, Emma Murphy, Alice Beard, Angela Chen, Andrea Pierangelini, Jack W Houghton, Mackenzie E Robert, Sarah Flannery, Cara J Ellison, Sakshi Sharma, Anthony Tumber, Lynn Wambua, Iolanda Vendrell, Edward W Tate, Paul R Elliott, Graham M West, Darragh P O'Brien, Eidarus Salah, Andrew P Turnbull, Christopher J Schofield, Benedikt M Kessler, Lennart Brewitz, Adán Pinto-Fernández
{"title":"Activity-based proteomics discovery of deubiquitinating enzyme inhibitors with immunomodulatory activity.","authors":"Hannah B L Jones, Simeon D Draganov, Sofia Schönbauer Huamán, Peter A C Wing, Chuong Nguyen, Zhu Liang, Julia Dörner, Jasper Lithgow, Emma Murphy, Alice Beard, Angela Chen, Andrea Pierangelini, Jack W Houghton, Mackenzie E Robert, Sarah Flannery, Cara J Ellison, Sakshi Sharma, Anthony Tumber, Lynn Wambua, Iolanda Vendrell, Edward W Tate, Paul R Elliott, Graham M West, Darragh P O'Brien, Eidarus Salah, Andrew P Turnbull, Christopher J Schofield, Benedikt M Kessler, Lennart Brewitz, Adán Pinto-Fernández","doi":"10.1038/s44386-026-00092-z","DOIUrl":"10.1038/s44386-026-00092-z","url":null,"abstract":"<p><p>Deubiquitinases (DUBs) play key roles in human pathologies, including cancer, infectious, autoimmune, and neurodegenerative diseases. The progress of potent and selective active site-targeting DUB inhibitors into clinical trials has demonstrated the therapeutic opportunities of such molecules; however, the shared catalytic geometry among DUB family members poses a challenge for achieving inhibitor selectivity. We describe a high-throughput, DUB-focused, activity-based proteomics workflow to identify new types of cysteine-reactive DUB inhibitors. We demonstrate the potential of αβ,α'β'-diepoxyketones (DEKs) and ubiquitin-derived covalently reacting alkynes as the first selective, cell-active compounds targeting USP47, OTUD7B (Cezanne), and USP5. These DUBs are reported to have critical roles in inflammasome formation, hypoxia, and viral replication, respectively. The identified compounds phenocopy these findings, demonstrating the tractability of these DUBs as immunotherapeutic targets.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13710844/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149280628","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}
Adel Ersek, Myoung Sook Kim, Caterina Suelzu, Isabelle Piec, Aerielle Matsangos, Elmar Nurmemmedov, Emma C Bull, Tabitha Bartlett, Rachel Dunn, James R Dick, Rena Lapidus, Danielle M Copeman, Jonathan C Y Tang, Paul G Crichton, Matthew G Pontifex, William D Fraser, Nicole J Horwood, Antonino Passaniti, Darrell Green
{"title":"Publisher Correction: RUNX2 inhibitor CADD522 improves bone microarchitecture and lipid metabolism in post-menopausal bone loss.","authors":"Adel Ersek, Myoung Sook Kim, Caterina Suelzu, Isabelle Piec, Aerielle Matsangos, Elmar Nurmemmedov, Emma C Bull, Tabitha Bartlett, Rachel Dunn, James R Dick, Rena Lapidus, Danielle M Copeman, Jonathan C Y Tang, Paul G Crichton, Matthew G Pontifex, William D Fraser, Nicole J Horwood, Antonino Passaniti, Darrell Green","doi":"10.1038/s44386-026-00088-9","DOIUrl":"10.1038/s44386-026-00088-9","url":null,"abstract":"","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13691070/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149248383","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}
Lorenzo Cipriano, Matteo Rossi Sebastiano, Filippo Maria Santorelli
{"title":"Drug repurposing in hereditary ataxia.","authors":"Lorenzo Cipriano, Matteo Rossi Sebastiano, Filippo Maria Santorelli","doi":"10.1038/s44386-026-00079-w","DOIUrl":"10.1038/s44386-026-00079-w","url":null,"abstract":"<p><p>Hereditary ataxias are rare disorders, and a context where small cohorts and high development costs make drug repurposing a pragmatic route. Technological advances are creating opportunities to complement pathway-guided plausibility with more target-supported and AI-nominated mechanistically grounded candidates. Also, digital twin and The Virtual Brain frameworks should be viewed in hereditary ataxias as future-oriented research tools to integrate multimodal data, support stratification, and generate testable system-level predictions in rare cohorts.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13658799/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149171906","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":"Proportionate evidence in biosimilar development: when a comparative efficacy study can still change the regulatory conclusion.","authors":"Sarfaraz K Niazi","doi":"10.1038/s44386-026-00080-3","DOIUrl":"10.1038/s44386-026-00080-3","url":null,"abstract":"<p><p>Biosimilar regulation was established using a systematic, stepwise framework in which clinical comparisons addressed residual uncertainties following comprehensive quality and pharmacokinetic assessments. Advances in analytical resolution, clinical pharmacology, and over two decades of regulatory expertise have substantially mitigated this residual uncertainty. This publication examines circumstances in which a comparative efficacy study could still influence regulatory decisions. It presents four original analyses: a quantitative comparison of the nominal resolution of selected analytical methodologies, combined with predefined equivalence criteria, within specific clinical programs that operate at disparate scales and are used solely to demonstrate respective resolution and acceptance thresholds. Additionally, an audit of publicly available regulatory outcomes identifies 100 United States 351(k)-licensed biosimilar and interchangeable products, alongside 149 authorized European biosimilars. It also classifies 16 European nonpositive initial outcomes: nine primarily driven by quality, manufacturing, or product bridging issues; two involving clinical pharmacology or overall comparability; one following a positive opinion; and four lacking sufficient public detail. Notably, no case identified a failed comparative efficacy study as the sole decisive factor, a conclusion limited by excluding programs abandoned before filing from the dataset. An analysis of participant burden estimates indicates an aggregate of more than 10,000 enrollments for programs approved through 2019. A Bayesian value of information model shows that, under a defined base case, the net benefit of such a study diminishes once prior evidence indicates that clinical similarity substantially exceeds the decision threshold. The framework continues to emphasize targeted clinical evidence relevant to unresolved mechanisms, uncharacterized local exposure, potential immune risks, or unaddressed population-specific questions.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13658781/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149168519","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":"The rise of agentic AI in drug discovery from static tools to autonomous virtual scientists.","authors":"Donghai Zhao, Meijing Fang, Lexiao Mao, Yuchen Zhu, Qun Su, Hui Shi, Hongxia Xu, Lanqing Li, Tingjun Hou, Chang-Yu Hsieh","doi":"10.1038/s44386-026-00075-0","DOIUrl":"10.1038/s44386-026-00075-0","url":null,"abstract":"<p><p>Driven by large language models, AI agents are transforming drug discovery, enabling AI to break free from task-specific tools and advance toward the vision of autonomous virtual scientists. This perspective reviews applications across the R&D lifecycle. To evaluate system maturity, we introduce a 6-level \"Spectrum of Agentic Autonomy.\" We advocate for novel evaluation paradigms centered on full-chain traceability and outline adoption barriers, positioning AI agents as pragmatic scientist-in-the-loop co-pilots.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13658227/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149168544","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}
Waleska Stephanie da Cruz Nizer, Cesar Augusto Roque-Borda, Chongbing Liao, Heitor Leocádio de Souza Rodrigues, Subham Kumar Vishwakarma, Zidane Qriouet, Andreia Bagliotti Meneguin, Fernando Rogério Pavan
{"title":"Efflux modulation as an antimicrobial strategy: mechanisms and translational perspectives.","authors":"Waleska Stephanie da Cruz Nizer, Cesar Augusto Roque-Borda, Chongbing Liao, Heitor Leocádio de Souza Rodrigues, Subham Kumar Vishwakarma, Zidane Qriouet, Andreia Bagliotti Meneguin, Fernando Rogério Pavan","doi":"10.1038/s44386-026-00083-0","DOIUrl":"10.1038/s44386-026-00083-0","url":null,"abstract":"<p><p>Efflux pumps are widely viewed as antibiotic resistance determinants, yet their roles in stress adaptation, virulence, quorum sensing, and biofilm formation make them context-dependent therapeutic targets. This Perspective distinguishes four efflux intervention strategies: direct inhibition, bioenergetic or membrane-mediated suppression, regulatory modulation, and dual-effect approaches. We examine why promising in vitro findings rarely translate clinically and argue that efflux-targeting strategies require defined therapeutic objectives and integrated multidisciplinary approaches.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13658784/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149172246","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":"Benchmarking Boltz-2 for relative kinase-inhibitor interaction patterns across conformational states and resistance mutations.","authors":"Atsushi Suenaga, Noriaki Okimoto","doi":"10.1038/s44386-026-00086-x","DOIUrl":"10.1038/s44386-026-00086-x","url":null,"abstract":"<p><p>Generative structure-prediction models can directly predict protein-ligand complexes from sequence and ligand information, but their ability to capture pharmacologically relevant kinase-inhibitor interactions remains incompletely understood. We systematically evaluated Boltz-2 using curated biochemical IC<sub>50</sub> measurements across eight human kinases, nine clinically used inhibitors, and representative resistance mutations. Although predicted log<sub>10</sub>(IC<sub>50</sub>) values showed a compressed dynamic range relative to experimental measurements, mutation-dependent shifts in inhibitor sensitivity, inhibitor selectivity patterns, and overall potency rankings showed substantial agreement with the experimental patterns within the present benchmark. Predicted binding probability showed good discrimination between binder and non-binder pairs within the present benchmark and a consistent inverse relationship with experimental potency. Structural analyses showed that ligand-pose variability was associated with prediction behavior within the evaluated kinase-inhibitor systems, even when kinase-domain structures showed close agreement with the corresponding experimental structures. Larger ligand RMSD values were not associated with larger prediction errors in magnitude, but were linked to systematic shifts in prediction bias, indicating that ligand-pose accuracy and predictive utility are not equivalent measures of Boltz-2 performance. These findings suggest that, within the present benchmark, relative kinase-inhibitor interaction patterns were reproduced more consistently than absolute potency values. We provide a framework for interpreting Boltz-2 outputs within the kinase-inhibitor systems examined here.</p>","PeriodicalId":520448,"journal":{"name":"NPJ drug discovery","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13658129/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149168437","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}