Skip to content
DraconiticResearch
Search Sources API
181,713 studies31 sourcesUpdated 39 min ago
PreprintAll rights reservedbioRxiv

A closed-loop language-model agent for target-specific multi-objective hit-to-lead optimization

  • W. Cui
  • L. Tian
  • X. Qi
  • H. Wang
  • H. Wu
  • H. He
  • C. Fang
  • J. Hu1
  1. 1State Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
Read full textPDFDOICite

Related

  1. Multi-Objective Optimization of Nitrogen Management for Oat Production in the Agro-Pastoral Ecotone of China Using NSGA-II to Balance Yield, Quality, Nitrogen Use Efficiency and Environmental Sustainability
    Ying Wang, Xue Han, Yanli Zhang +2
    Plants (Basel, Switzerland)Peer-reviewedCC BYFull textPlant biologyEurope PMC
  2. Benchmarking Large Language Models for Assay-Aware Drug-Target Binding Affinity Prediction
    N. Gupta, A. Verma, P. Khandelwal +1
    bioRxivPreprintAll rights reservedFull textBioinformatics & computational biologybioRxiv
  3. Closed-head injury produces a delayed, region-specific defect in glucose-carbon routing at the pyruvate branchpoint in APP/PS1 KI mice
    E. Z. Moallem, R. C. Bruntz, M. F. Cox +11
    bioRxivPreprintAll rights reservedFull textNeurosciencebioRxiv
  4. Optimization of multi-objective flexible scheduling for container rail mounted gantry cranes in railway logistics yards
    Huawei Wang, Chunjie Xu, Yunjiao Hou +2
    PLOS OnePeer-reviewedCC BY 4.0Full textEvolutionary biologyGenetics & genomicsPLOS
  5. Large Language Models as Simulated Candidates in Objective Structured Clinical Examinations: A Rubric-Mapping Proof-of-Concept Study
    Elise Lupon, Alexandre Gérard, Alexandre Destere +3
    Advances in Medical Education and PracticePeer-reviewedCC BY-NCFull textGeneral biologyPharmacology & toxicologyHAL

Cite

BibTeXRIS
BibTeX
@misc{cui2026closedloop,
  title = {{A closed-loop language-model agent for target-specific multi-objective hit-to-lead optimization}},
  author = {W. Cui and L. Tian and X. Qi and H. Wang and H. Wu and H. He and C. Fang and J. Hu},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.19.752921},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.19.752921v1},
}
RIS
TY  - UNPB
TI  - A closed-loop language-model agent for target-specific multi-objective hit-to-lead optimization
AU  - W. Cui
AU  - L. Tian
AU  - X. Qi
AU  - H. Wang
AU  - H. Wu
AU  - H. He
AU  - C. Fang
AU  - J. Hu
PY  - 2026
DA  - 2026/09/19
PB  - bioRxiv
DO  - 10.64898/2026.09.19.752921
UR  - https://www.biorxiv.org/content/10.64898/2026.09.19.752921v1
ER  -