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A Reproducible Comparison of Machine Learning and Classic... | ResearchHub

A Reproducible Comparison of Machine Learning and Classical Docking Approaches for In Silico Drug Screening on KRAS

By
Harshit Kumar Soni
Harshit Kumar Soni
April 1, 2026•
4.0
3
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Key Insights

Beta

Proposes a 6-month, reproducible in silico screening study comparing AutoDock Vina (classical) and D…

  • Open Science Rigor
  • RFP Alignment
  • No Enrichment Controls
  • Limited Novelty

Funding Progress

0%
2
/
5K
Contributors
1
StatusOPEN

Funders

HY
Hao Yin
+
0

Peer Reviews

AR
AI Review

23 days ago

QG
Qi-hang Guo

about 2 months ago

Related Funding

In Silico Drug Screening

$5Kavailable
In Silico Drug Screening

Nonprofit Recipient

Topics

#protein-ligand-docking

DOI

10.55277/researchhub.tmfa2e2o
raised of
5,000
goal
Ended
Ended