Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

First-in-Class Small Molecule ROBO2 Binders Identified through Integrated Virtual Screening and Biophysical Validation

Created on 06 Jan 2026

Authors

Upmanyu, K., Nada, H., Gabr, M.

Abstract

Roundabout homolog 2 (ROBO2) is a transmembrane receptor implicated in glioblastoma progression through its interaction with Slit2-mediated signaling pathways. Dysregulated Slit2-ROBO2 signaling enhances tumor cell migration, invasion, and tissue infiltration, while elevated ROBO2 levels contribute to an immunosuppressive tumor microenvironment supporting GBM aggressiveness and highlighting ROBO2 as a therapeutic target. Despite its therapeutic relevance, no ROBO2-targeted small molecules have been reported. To address this gap, we performed a structure-based virtual screening campaign targeting ROBO2, followed by experimental validation with Dianthus TRIC platform and microscale thermophoresis (MST). Fifteen compounds were screened for ROBO2 binding, from which four candidates exhibited robust TRIC signals. Subsequent affinity measurements revealed that two small molecules, Z1334432986 and Z1692774161, bind ROBO2 in a reproducible concentration-dependent manner, with dissociation constants (Kd) of 40.8 M and 25.8 M, respectively. Molecular docking with validated hits revealed a shared ROBO2 binding pocket defined by conserved anchor residues (ASN354, SER366, ASP385) and accommodation of distinct ligand conformations within the ROBO2 binding pocket. This work establishes a screening pipeline for identifying ROBO2-targeted small molecules and lays the foundation for developing therapeutics aimed at disrupting Slit-ROBO2 signaling in GBM.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 06 Jan 2026.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this preprint? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 20
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement