{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T12:33:24Z","timestamp":1786365204633,"version":"build-2736575974"},"reference-count":44,"publisher":"American Chemical Society (ACS)","issue":"15","license":[{"start":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T00:00:00Z","timestamp":1784505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T00:00:00Z","timestamp":1784505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T00:00:00Z","timestamp":1784505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-045"}],"funder":[{"DOI":"10.13039\/na","name":"Noncommunicable Chronic Diseases-National Science and Technology Major Project","doi-asserted-by":"publisher","award":["2025ZD0547600"],"award-info":[{"award-number":["2025ZD0547600"]}],"id":[{"id":"10.13039\/na","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The rational generation of antibody-drug conjugate (ADC) linkers remains challenging due to the need to balance linker stability, payload release, and compatibility with antibody-payload components. We propose MolT5-Linker, a Transformer-based generative framework conditioned on antibody sequences and payload molecular structures. In the encoder stage, the model integrates a GAT-based Attachment Site Attention Network that infers putative attachment sites from antibody and payload representations. This site-related information guides the decoder to generate chemically compatible linker candidates, improving compatibility between generated linkers and ADC components. Following fine-tuning on a self-constructed ADC data set, MolT5-Linker achieves a generation validity of 0.8986 while maintaining a balance between molecular recovery (0.5802) and uniqueness (0.5438). Furthermore, the generated linker candidates exhibit medicinal chemistry property distributions\u2500including molecular weight, lipophilicity, and topological polar surface area (TPSA)\u2500consistent with ground-truth ADC linkers. These results highlight MolT5-Linker as a computational framework for ADC linker candidate generation.<\/jats:p>","DOI":"10.1021\/acs.jcim.6c01342","type":"journal-article","created":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T06:03:11Z","timestamp":1784527391000},"page":"8956-8967","source":"Crossref","is-referenced-by-count":0,"title":["MolT5-Linker: A\nTransformer-Based Sequence- and Putative\nSite-Guided Generative Framework for Antibody-Drug Conjugate Linkers"],"prefix":"10.1021","volume":"66","author":[{"given":"Yanjing","family":"Chen","sequence":"first","affiliation":[{"name":"Shanghai Institute of Technology , , ,","place":["Shanghai, China, 201418"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"FanHong","family":"Wu","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Technology , , ,","place":["Shanghai, China, 201418"]},{"name":"Shanghai Engineering Research Center of Green Fluoropharmaceutical Technology , ,","place":["Shanghai, China, 201418"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8812-6163","authenticated-orcid":true,"given":"Yiwei","family":"Liu","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Technology , , ,","place":["Shanghai, China, 201418"]},{"name":"Shanghai Engineering Research Center of Green Fluoropharmaceutical Technology , ,","place":["Shanghai, China, 201418"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yichu","family":"Wu","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Technology , , ,","place":["Shanghai, China, 201418"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Technology , , ,","place":["Shanghai, China, 201418"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5733-7670","authenticated-orcid":true,"given":"Jingjing","family":"Wu","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Technology , , ,","place":["Shanghai, China, 201418"]},{"name":"Shanghai Engineering Research Center of Green Fluoropharmaceutical Technology , ,","place":["Shanghai, China, 201418"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2026,7,20]]},"reference":[{"key":"2026081008105355800_cit1","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s13238-016-0323-0","article-title":"Antibody-drug conjugates: recent advances in conjugation and linker\nchemistries","volume":"9","author":"Tsuchikama","year":"2016","journal-title":"Protein Cell"},{"key":"2026081008105355800_cit2","doi-asserted-by":"publisher","first-page":"20525","DOI":"10.1038\/s41598-025-05555-3","article-title":"Linker-GPT: design\nof Antibody-drug\nconjugates linkers with molecular generators and reinforcement learning","volume":"15","author":"Su","year":"2025","journal-title":"Sci. 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