Evidence map›Paper›PMID 36961978›Full record

ArticleJournal of the American Chemical Society2023

High Accuracy Prediction of PROTAC Complex Structures.

Mikhail Ignatov, Akhil Jindal, Sergei Kotelnikov, Dmitri Beglov, Ganna Posternak, Xiaojing Tang, Pierre Maisonneuve, Gennady Poda, Robert A Batey, Frank Sicheri and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

21 citing papers in PubMed, 50 citations in OpenAlex.

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  16. The Applications of Computational Tools in PROTAC Development.Current topics in medicinal chemistry · 2025
    Review
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  18. Article
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  20. 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

14 authors at 5 institutions in 2 countries.

Mikhail IgnatovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, United States.
Akhil JindalDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, United States.
Sergei KotelnikovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, United States.
Dmitri BeglovDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, United States.
Ganna PosternakCenter for Molecular, Cell and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario L4K-M9W, Canada.
Xiaojing TangCenter for Molecular, Cell and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario L4K-M9W, Canada.
Pierre MaisonneuveCenter for Molecular, Cell and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario L4K-M9W, Canada.ORCID 0000-0001-8292-5741
Gennady PodaDrug Discovery Program, Ontario Institute for Cancer Research, Toronto, Ontario L4K-M9W, Canada.
Robert A BateyDepartment of Chemistry, University of Toronto, Toronto, Ontario L4K-M9W, Canada.ORCID 0000-0001-8808-7646
Frank SicheriCenter for Molecular, Cell and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario L4K-M9W, Canada.ORCID 0000-0002-9824-2117
Adrian WhittyDepartment of Chemistry, Boston University, Boston, Massachusetts 02215, United States.ORCID 0000-0002-0331-4369
Peter J TongeDepartment of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.ORCID 0000-0003-1606-3471
Sandor VajdaDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, United States.ORCID 0000-0003-1540-8220
Dima KozakovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, United States.ORCID 0000-0003-0464-4500
Stony Brook University · USBoston University · USUniversity of Toronto · CALunenfeld-Tanenbaum Research Institute · CAOntario Institute for Cancer Research · CA

Funding

Analysis and Prediction of Molecular InteractionsR35GM118078 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SANDOR VAJDA · 2016 to 2026
$6.5M
Solvation modeling for next-gen biomolecule simulationsRM1GM135136 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI COUTSIAS, EVANGELOS A., DILL, KEN A · 2020 to 2024
$6.0M
Mechanism of Slow Onset Enzyme Inhibition and Translation to Time-Dependent Drug ActivityR01GM102864 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI TONGE, PETER J · 2012 to 2021
$2.6M
Enabling the Accelerated Discovery of Novel Chemical Probes by Integration of Crystallographic, Computational, and Synthetic Chemistry ApproachesR01GM140154 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TROPSHA, ALEXANDER, WILLSON, TIMOTHY M · 2021 to 2024
$2.4M
Simulation of Multi-Protein systemsR01GM140098 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOZAKOV, DMYTRO · 2021 to 2024
$1.4M
NIGMS NIH HHS R01 GM102864NIGMS NIH HHS R01 GM140098NIGMS NIH HHS R01 GM140154NIGMS NIH HHS R35 GM118078NIGMS NIH HHS RM1 GM135136
6 · The paper itself

Abstract

The design of PROteolysis-TArgeting Chimeras (PROTACs) requires bringing an E3 ligase into proximity with a target protein to modulate the concentration of the latter through its ubiquitination and degradation. Here, we present a method for generating high-accuracy structural models of E3 ligase-PROTAC-target protein ternary complexes. The method is dependent on two computational innovations: adding a "silent" convolution term to an efficient protein-protein docking program to eliminate protein poses that do not have acceptable linker conformations and clustering models of multiple PROTACs that use the same E3 ligase and target the same protein. Results show that the largest consensus clusters always have high predictive accuracy and that the ensemble of models can be used to predict the dissociation rate and cooperativity of the ternary complex that relate to the degrading activity of the PROTAC. The method is demonstrated by applications to known PROTAC structures and a blind test involving PROTACs against BRAF mutant V600E. The results confirm that PROTACs function by stabilizing a favorable interaction between the E3 ligase and the target protein but do not necessarily exploit the most energetically favorable geometry for interaction between the proteins.

Indexed as

ProteinsUbiquitin-Protein LigasesProteolysisUbiquitinationProteinsUbiquitin-Protein Ligases

Identifiers

PMID36961978
PMCPMC10240388
OpenAlexW4360825536

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.