A Scalable Design for Proximity-Inducing Molecules

Chimeric molecules, which bring together an effector enzyme and a protein-of-interest (POI) to add/remove post-translational modifications (PTMs), are furnishing transformative modalities (e.g., PROTACs). However, these chimeras' scalability is limited as they employ rare, non-inhibitory binders of effectors. We report GRoup-transfer chimeras for Inducing Proximity (GRIPs) that employ abundantly available effectors' inhibitors to append POI binder on the effector using group-transfer handles. To demonstrate scalability, we develop 6 GRIPs classes for 3 PTMs utilizing diverse inhibitor, spanning 16 effector-POI pairs. Furthermore, we report a toolbox of 42 tunable group-transfer handles for Cys/Lys residues and ~5000 inhibitor-residue pairs for diverse effectors. Using global proteomics, we confirm the specificity for group transfer and PTM editing. GRIPs endowed new functionalities to POI drugs, including preventing rebound signaling upon drug withdrawal, a more potent/persistent inhibition, and inhibitor-induced pathway activation in 4 fully-endogenous systems. In diverse <i>hemi</i>-endogenous systems (tagged POI), GRIPs induced condensate formation with reduced off-targets, cleared pathogenic PTMs, and initiated PTM crosstalk. Overall, GRIPs provide a scalable and versatile platform for PTM editing.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-02-21
DOI
https://doi.org/10.64898/2026.02.20.706349
Citations
1
Primary Topic
Protein Degradation and Inhibitors
Type
article
Field-Weighted Citation Impact
22.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Scalable Design for Proximity-Inducing Molecules

Rajaiah Pergu, Junya Kawai, Sameek Singh, Neel H. Shah et al.
1 citations
bioRxiv (Cold Spring Harbor Laboratory)
Protein Degradation and Inhibitors
22.24
article

A Scalable Design for Proximity-Inducing Molecules

Rajaiah Pergu, Junya Kawai, Sameek Singh, Neel H. Shah, Lisa M. Boatner, Santosh Kumar Chaudhary, Varsha Venkatarangan, Charlie Fehl, C. Lee, Prashant K. Singh, April Keyes, Jeffrey E. Fung, Karishma Kailass, Rohil Dhaliwal, Kien Tran, Amit Choudhary, Endri Karaj, Mahilet Tefera, Keriann M. Backus, Surached Siriwongsup, Sreekanth Vedagopuram, Ananthan Sadagopan, Shaimaa Hesham Sindi
article en
1 citations

Abstract

Chimeric molecules, which bring together an effector enzyme and a protein-of-interest (POI) to add/remove post-translational modifications (PTMs), are furnishing transformative modalities (e.g., PROTACs). However, these chimeras' scalability is limited as they employ rare, non-inhibitory binders of effectors. We report GRoup-transfer chimeras for Inducing Proximity (GRIPs) that employ abundantly available effectors' inhibitors to append POI binder on the effector using group-transfer handles. To demonstrate scalability, we develop 6 GRIPs classes for 3 PTMs utilizing diverse inhibitor, spanning 16 effector-POI pairs. Furthermore, we report a toolbox of 42 tunable group-transfer handles for Cys/Lys residues and ~5000 inhibitor-residue pairs for diverse effectors. Using global proteomics, we confirm the specificity for group transfer and PTM editing. GRIPs endowed new functionalities to POI drugs, including preventing rebound signaling upon drug withdrawal, a more potent/persistent inhibition, and inhibitor-induced pathway activation in 4 fully-endogenous systems. In diverse <i>hemi</i>-endogenous systems (tagged POI), GRIPs induced condensate formation with reduced off-targets, cleared pathogenic PTMs, and initiated PTM crosstalk. Overall, GRIPs provide a scalable and versatile platform for PTM editing.

bioRxiv (Cold Spring Harbor Laboratory)
Broad Institute (US), Brigham and Women's Hospital (US), Harvard University (US), University of California, Los Angeles (US), Wayne State University (US), Columbia University Irving Medical Center (US), Columbia University (US)
Openalex Percentile: Top 1%
Protein Degradation and Inhibitors
22.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.