Evidence map›Paper›PMID 40911906›Full record

ArticleJournal of chemical information and modeling2025

Data-Driven Generation of Conformational Ensembles and Ternary Complexes for PROTAC and Other Chimera Systems.

Fabio Montisci, Laura Friggeri, Kepa K Burusco-Goni, Patrick McCabe, Bojana Popovic, Jason C Cole

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Fabio MontisciCambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, U.K.ORCID 0000-0002-3391-3303
Laura FriggeriCambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, U.K.
Kepa K Burusco-GoniCambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, U.K.
Patrick McCabeCambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, U.K.
Bojana PopovicCambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, U.K.
Jason C ColeCambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, U.K.ORCID 0000-0002-0291-6317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the protolysis-targeting chimera (PROTAC) Conformer Generator, a fast and knowledge-based tool for generating robust conformational ensembles of PROTACs and other chimeric degraders. The modeling protocol integrates conformer generation, rigid-body ternary complex (TC) assembly, and conformational sampling strategies that address the inherent flexibility and complexity of these molecules. Each modeled TC is evaluated using a clash-score and a surface-score, designed to prioritize sterically and geometrically plausible models with favorable protein surface interactions. The protocol was validated using experimentally determined PROTAC-mediated TC structures from the Protein Data Bank and "PROTAC-like" structures from the Cambridge Structural Database, demonstrating accuracy across diverse systems. The results show that the PROTAC Conformer Generator can reliably reproduce experimental conformations and generate simple TC models that recapitulate the relative orientations between E3 ubiquitin ligase and the protein of interest as observed in protein crystal structures. This robust validation supports the method's reliability and establishes a reference framework for degrader modeling studies. The PROTAC Conformer Generator provides a structured and validated workflow for modeling and assessing degrader conformations and ternary complexes, enabling rapid ensemble generation and downstream integration into relevant early stage drug design pipelines.

Indexed as

Protein ConformationProteolysis Targeting ChimeraDatabases, ProteinModels, MolecularProteolysisUbiquitin-Protein LigasesProteolysis Targeting ChimeraUbiquitin-Protein Ligases

Identifiers

PMID40911906
PMCPMC12703653

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.