Evidence map›Paper›PMID 34368994›Full record

ArticleProteins2021

Assessing the binding properties of CASP14 targets and models.

Megan Egbert, Usman Ghani, Ryota Ashizawa, Sergei Kotelnikov, Thu Nguyen, Israel Desta, Nasser Hashemi, Dzmitry Padhorny, Dima Kozakov, Sandor Vajda

Abstract read
In one paragraph

Article in Proteins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Megan EgbertDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Usman GhaniDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Ryota AshizawaDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.
Sergei KotelnikovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.
Thu NguyenLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York, USA.
Israel DestaDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Nasser HashemiDivision of Systems Engineering, Boston University, Boston, Massachusetts, USA.
Dzmitry PadhornyDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.ORCID 0000-0002-7840-8677
Dima KozakovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.ORCID 0000-0003-0464-4500
Sandor VajdaDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.ORCID 0000-0003-1540-8220

Funding

Analysis and Prediction of Molecular InteractionsR35GM118078 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SANDOR VAJDA · 2016 to 2026
$6.5M
Fast energy evaluation for multi-protein systemsR21GM127952 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOZAKOV, DMYTRO · 2018 to 2019
$432k
NIGMS NIH HHS R21 GM127952NIGMS NIH HHS R35 GM118078
6 · The paper itself

Abstract

An important question is how well the models submitted to CASP retain the properties of target structures. We investigate several properties related to binding. First we explore the binding of small molecules as probes, and count the number of interactions between each residue and such probes, resulting in a binding fingerprint. The similarity between two fingerprints, one for the X-ray structure and the other for a model, is determined by calculating their correlation coefficient. The fingerprint similarity weakly correlates with global measures of accuracy, and GDT_TS higher than 80 is a necessary but not sufficient condition for the conservation of surface binding properties. The advantage of this approach is that it can be carried out without information on potential ligands and their binding sites. The latter information was available for a few targets, and we explored whether the CASP14 models can be used to predict binding sites and to dock small ligands. Finally, we tested the ability of models to reproduce protein-protein interactions by docking both the X-ray structures and the models to their interaction partners in complexes. The analysis showed that in CASP14 the quality of individual domain models is approaching that offered by X-ray crystallography, and hence such models can be successfully used for the identification of binding and regulatory sites, as well as for assembling obligatory protein-protein complexes. Success of ligand docking, however, often depends on fine details of the binding interface, and thus may require accounting for conformational changes by simulation methods.

Indexed as

Binding SitesModels, MolecularProtein BindingProtein Interaction Domains and MotifsProteinsComputational BiologyLigandsMolecular Docking SimulationProtein ConformationSoftwareLigandsProteinsbinding hot spotsligand dockingprotein binding siteprotein mappingprotein-protein interactionquality measuresstructure prediction

Identifiers

PMID34368994
PMCPMC8616776

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.