Evidence map›Paper›PMID 31879831›Full record

ArticleJournal of computer-aided molecular design2020

Sampling and refinement protocols for template-based macrocycle docking: 2018 D3R Grand Challenge 4.

Sergei Kotelnikov, Andrey Alekseenko, Cong Liu, Mikhail Ignatov, Dzmitry Padhorny, Emiliano Brini, Mark Lukin, Evangelos Coutsias, Ken A Dill, Dima Kozakov

Abstract read
In one paragraph

Article in Journal of computer-aided molecular design, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. MELD in Action: Harnessing Data to Accelerate Molecular Dynamics.Journal of chemical information and modeling · 2025
    Review
  4. Article
  5. Article
  6. High Accuracy Prediction of PROTAC Complex Structures.Journal of the American Chemical Society · 2023
    Article
  7. Review
  8. Article
  9. Protein storytelling through physics.Science (New York, N.Y.) · 2020
    Review
  10. Article
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

10 authors.

Sergei KotelnikovLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Andrey AlekseenkoLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Cong LiuLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Mikhail IgnatovLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Dzmitry PadhornyLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Emiliano BriniLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Mark LukinDepartment of Pharmacological Sciences, Stony Brook University, Stony Brook, NY, USA.
Evangelos CoutsiasLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Ken A DillLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Dima KozakovLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA. midas@laufercenter.org.ORCID 0000-0003-0464-4500

Funding

MELD: accelerating MD modeling of proteins using Bayesian inferenceR01GM125813 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI DILL, KEN A · 2018 to 2021
$1.3M
Fast energy evaluation for multi-protein systemsR21GM127952 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOZAKOV, DMYTRO · 2018 to 2019
$432k
NIGMS NIH HHS R01 GM125813NIGMS NIH HHS R21 GM127952
6 · The paper itself

Abstract

We describe a new template-based method for docking flexible ligands such as macrocycles to proteins. It combines Monte-Carlo energy minimization on the manifold, a fast manifold search method, with BRIKARD for complex flexible ligand searching, and with the MELD accelerator of Replica-Exchange Molecular Dynamics simulations for atomistic degrees of freedom. Here we test the method in the Drug Design Data Resource blind Grand Challenge competition. This method was among the best performers in the competition, giving sub-angstrom prediction quality for the majority of the targets.

Indexed as

Drug DesignMolecular Docking SimulationAmyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesBinding SitesHumansLigandsMacrocyclic CompoundsMolecular Dynamics SimulationMonte Carlo MethodProtein BindingThermodynamicsAmyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesBACE1 protein, humanLigandsMacrocyclic CompoundsBACE-1D3RMacrocyclesProtein–ligand dockingTemplate-based docking

Identifiers

PMID31879831
PMCPMC7553231

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.