REstretto

REstretto enhances virtual screening by performing protein-ligand docking with fragment decomposition and docking-score reuse to accelerate compound prioritization in drug discovery.


Key Features:

  • Compound Decomposition: Decomposes compounds into chemical substructures to enable reuse of docking scores.
  • Fragment Grid Storage: Stores k-best docking scores for common substructures in a fragment grid for score reuse.
  • Flexibility Modeling: Models molecular flexibility using pregenerated conformers.
  • Performance: Achieves speed and accuracy comparable to AutoDock Vina.

Scientific Applications:

  • Drug Discovery: Accelerates virtual screening of large compound databases through fragment-based docking and score reuse.

Methodology:

Decomposes compounds into fragments, reuses docking scores for common substructures stored in a fragment grid, and models flexibility with pregenerated conformers.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
C++
Added:
11/3/2022
Last Updated:
11/24/2024

Operations

Publications

Yanagisawa K, Kubota R, Yoshikawa Y, Ohue M, Akiyama Y. Effective Protein–Ligand Docking Strategy via Fragment Reuse and a Proof-of-Concept Implementation. ACS Omega. 2022;7(34):30265-30274. doi:10.1021/acsomega.2c03470. PMID:36061673. PMCID:PMC9435046.

PMID: 36061673
PMCID: PMC9435046
Funding: - Japan Agency for Medical Research and Development: JP22ama121026 - Japan Society for the Promotion of Science: 17H01814, 20H04280, 20K19917, 22H03684