Metraipolis › archive › dc_bc2e713008ea

CS-DTA: a language model-driven framework for robust drug-target affinity prediction under strict cold-start scenarios — Europe PMC PMID:42131843

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/42131843
DOI: 10.3389/fchem.2026.1834317
License (as archived): solo-consultazione
Archived: 2026-11-03T01:51:21.872Z
SHA-256 of the archived text: 5104fae81f11594035e877657759fe1c5fbf71e6b9d9a2c413ba7085b1e258d1
Stable URL of this page: https://metraipolis.com/documento/dc_bc2e713008ea

How to cite

CS-DTA: a language model-driven framework for robust drug-target affinity prediction under strict cold-start scenarios — Europe PMC PMID:42131843 — Europe PMC (en), https://europepmc.org/article/MED/42131843 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_bc2e713008ea (Metraipolis archive dc_bc2e713008ea, sha256 5104fae81f11594035e877657759fe1c5fbf71e6b9d9a2c413ba7085b1e258d1)

BibTeX

@misc{dcbc2e713008ea,
  title = {CS-DTA: a language model-driven framework for robust drug-target affinity prediction under strict cold-start scenarios — Europe PMC PMID:42131843},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/42131843},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_bc2e713008ea; sha256 5104fae81f11594035e877657759fe1c5fbf71e6b9d9a2c413ba7085b1e258d1},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/42131843. Agents can read the archived copy with the MCP tool read_document.