Project

CACHE Challenge #1. Team participation

Prospective hit finding for the ligand-naive LRRK2-WDR domain using de novo design, docking, molecular dynamics, and MM/GBSA.

Scientific problem

CACHE Challenge #1 asked participants to identify binders for the WDR domain of LRRK2 when no known ligands and only an apo protein structure were available.

Motivation

The blinded challenge provided a prospective test of computational hit-finding methods because submitted compounds were purchased and experimentally measured by the organizers.

My role

  • Developed and applied CReM-opt for molecular generation and local optimization.
  • Applied StreaMD in the MD/MM-GBSA part of the workflow.
  • Performed Glide docking and contributed to strategy discussions and analysis of the results.
  • Co-author of the collaborative CACHE publication.

Methodology

  • CReM-based de novo generation and optimization of candidate molecules.
  • Physicochemical and structural filtering followed by consensus docking.
  • MD-based analysis and MM/GBSA rescoring of prioritized compounds.
  • Similarity-based search of the Enamine REAL database to retrieve commercially accessible analogs of prioritized designs.
  • Experimental testing was performed independently by the CACHE organizers.

Results

  • Our Round 1 workflow produced 8 SPR binders among 82 compounds tested; one compound of interest was additionally supported by 19F-NMR.
  • Hit expansion produced two additional binders, with the best measured KD of 71 µM.
  • The workflow was among the third-place teams in the aggregated CACHE Challenge #1 ranking.

Software

  • Python
  • RDKit
  • CReM
  • StreaMD
  • AutoDock Vina
  • Gnina
  • Glide
  • GROMACS
  • gmx_MMPBSA

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