Evidence map›Paper›PMID 27667482›Full record

ArticleProteins2017

Modeling oblong proteins and water-mediated interfaces with RosettaDock in CAPRI rounds 28-35.

Nicholas A Marze, Jeliazko R Jeliazkov, Shourya S Roy Burman, Scott E Boyken, Frank DiMaio, Jeffrey J Gray

Abstract read
In one paragraph

Article in Proteins, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Nicholas A MarzeDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland.
Jeliazko R JeliazkovT.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland.
Shourya S Roy BurmanDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland.
Scott E BoykenDepartment of Biochemistry, University of Washington, Seattle, Washington.
Frank DiMaioDepartment of Biochemistry, University of Washington, Seattle, Washington.
Jeffrey J GrayDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0001-6380-2324
Johns Hopkins University · USUniversity of Washington · US

Funding

Prediction of the Structure of Therapeutic Antibodies with their AntigensR01GM078221 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GRAY, JEFFREY J · 2006 to 2020
$4.0M
NIGMS NIH HHS R01 GM078221
6 · The paper itself

Abstract

The 28th-35th rounds of the Critical Assessment of PRotein Interactions (CAPRI) served as a practical benchmark for our RosettaDock protein-protein docking protocols, highlighting strengths and weaknesses of the approach. We achieved acceptable or better quality models in three out of 11 targets. For the two α-repeat protein-green fluorescent protein (αrep-GFP) complexes, we used a novel ellipsoidal partial-global docking method (Ellipsoidal Dock) to generate models with 2.2 Å/1.5 Å interface RMSD, capturing 49%/42% of the native contacts, for the 7-/5-repeat αrep complexes. For the DNase-immunity protein complex, we used a new predictor of hydrogen-bonding networks, HBNet with Bridging Waters, to place individual water models at the complex interface; models were generated with 1.8 Å interface RMSD and 12% native water contacts recovered. The targets for which RosettaDock failed to create an acceptable model were typically difficult in general, as six had no acceptable models submitted by any CAPRI predictor. The UCH-L5-RPN13 and UCH-L5-INO80G de-ubiquitinating enzyme-inhibitor complexes comprised inhibitors undergoing significant structural changes upon binding, with the partners being highly interwoven in the docked complexes. Our failure to predict the nucleosome-enzyme complex in Target 95 was largely due to tight constraints we placed on our model based on sparse biochemical data suggesting two specific cross-interface interactions, preventing the correct structure from being sampled. While RosettaDock's three successes show that it is a state-of-the-art docking method, the difficulties with highly flexible and multi-domain complexes highlight the need for better flexible docking and domain-assembly methods. Proteins 2017; 85:479-486. © 2016 Wiley Periodicals, Inc.

Indexed as

AlgorithmsSoftwareAmino Acid MotifsATPases Associated with Diverse Cellular ActivitiesBenchmarkingBinding SitesComputational BiologyCrystallography, X-RayDeoxyribonucleasesDNA-Binding ProteinsDNA HelicasesEndopeptidasesHydrogen BondingMolecular Docking SimulationNucleosomesProtein BindingATPases Associated with Diverse Cellular ActivitiesDeoxyribonucleasesDNA-Binding ProteinsDNA HelicasesEndopeptidasesINO80 protein, humanNucleosomesubiquitin isopeptidaseWaterCAPRIconformational changeprotein-protein dockingRosettawater-mediated interfaces

Identifiers

PMID27667482
PMCPMC5710743
OpenAlexW2524536661

What OpenQuestion holds

Textmetadata
LicenceTDM
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.