334-autodock-koto-a-gradient-boosting-differential-evolution-for-molecular-docking

https://github.com/szu-advtech-2024/334-autodock-koto-a-gradient-boosting-differential-evolution-for-molecular-docking

Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: SZU-AdvTech-2024
  • Default Branch: main
  • Size: 0 Bytes
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Citation

https://github.com/SZU-AdvTech-2024/334-AutoDock-Koto-A-Gradient-Boosting-Differential-Evolution-for-Molecular-Docking/blob/main/

alltest

config_size15CASF-2016koto

Molecular_Docking-mainkotokoto.exe

CASF-2016http://www.pdbbind-cn.org/casf.asp/

Owner

  • Name: SZU-AdvTech-2024
  • Login: SZU-AdvTech-2024
  • Kind: organization

Citation (citation.txt)

@article{REPO334,
    author = "Ji, Junkai and Zhou, Jin and Yang, Zhangfan and Lin, Qiuzhen and Coello, Carlos A. Coello",
    journal = "IEEE Transactions on Evolutionary Computation",
    number = "6",
    pages = "1648-1662",
    title = "{AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking}",
    volume = "27",
    year = "2023"
}

GitHub Events

Total
  • Push event: 3
  • Create event: 2
Last Year
  • Push event: 3
  • Create event: 2