{"id":1863,"date":"2026-01-16T06:08:02","date_gmt":"2026-01-16T06:08:02","guid":{"rendered":"https:\/\/amm-journal.org\/?p=1863"},"modified":"2026-01-16T06:16:28","modified_gmt":"2026-01-16T06:16:28","slug":"drug-rd-ai-drug-design-precision-medicine","status":"publish","type":"post","link":"https:\/\/amm-journal.org\/index.php\/2026\/01\/16\/drug-rd-ai-drug-design-precision-medicine\/","title":{"rendered":"How new drug R&D can solve intractable scientific problems and meet clinical needs: insights from analysis of typical use cases"},"content":{"rendered":"

Announcing a new publication for Acta Materia Medica<\/em><\/a> journal. \u00a0New drug research and development (R&D) faces critical challenges such as drug resistance, ineffectiveness of single-target interventions, \u201cundruggable\u201d targets, long cycles, and high costs. This article analyzes five typical use cases to illustrate breakthrough strategies for addressing these issues.<\/p>\n

Innovations include the identification of dual-target antibiotics (paenimicin) and phospholipid-targeting antifungals (mandimycin) that overcome microbial resistance via mining silent biosynthetic gene clusters; development of \u201cmolecular glue\u201d compounds (D927 and BBO-10203) that regulate protein-protein interactions, thus addressing insulin resistance and tumor drug resistance; AI-driven discovery of the TNIK inhibitor rentosertib for reversing pulmonary fibrosis; use of protein interface remodeling to develop the KRAS G12D inhibitor zoldonrasib for \u201cundruggable\u201d targets; and repurposing of existing drug combinations (letrozole plus irinotecan), on the basis of multi-omics data for Alzheimer\u2019s disease.<\/p>\n

These use cases demonstrate how interdisciplinary technologies (e.g., AI and structural biology) and strategic innovations (multi-target design and drug repurposing) can drive a transformation from experience-driven to precision and intelligence-driven R&D, and provides a reference for meeting intractable clinical needs.<\/p>\n

Read More:\u00a0https:\/\/www.scienceopen.com\/hosted-document?doi=10.15212\/AMM-2025-0054<\/a><\/p>\n

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eISSN <\/strong>2737-7946<\/p>\n

Mei Wang, Kai Song and Haiyong Jia et al. How new drug R&D can solve intractable scientific problems and meet clinical needs: insights from analysis of typical use cases.\u00a0Acta Materia Medica.\u00a0<\/em>2026. Vol. 5(1):1-7. DOI: 10.15212\/AMM-2025-0054<\/p>\n","protected":false},"excerpt":{"rendered":"

Announcing a new publication for Acta Materia Medica journal. \u00a0New drug research and development (R&D) faces critical challenges such as drug resistance, ineffectiveness of single-target interventions, \u201cundruggable\u201d targets, long cycles, and high costs. This article analyzes five typical use cases to illustrate breakthrough strategies for addressing these issues. Innovations include the identification of dual-target antibiotics […]<\/p>\n","protected":false},"author":5,"featured_media":1864,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[549,482,550,551],"class_list":["post-1863","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-events","tag-drug-rd","tag-drug-resistance","tag-precison-medicine","tag-undruggable-targets"],"yoast_head":"\nHow new drug R&D can solve intractable scientific problems and meet clinical needs: insights from analysis of typical use cases<\/title>\n<meta name=\"description\" content=\"Illustrating breakthrough strategies against challenges in drug R&D, showing how interdisciplinary approach & strategic innovation drive precision medicine.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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