Evidence map›Paper›PMID 29800260›Full record

ArticleNucleic acids research2018

gRINN: a tool for calculation of residue interaction energies and protein energy network analysis of molecular dynamics simulations.

Onur Serçinoglu, Pemra Ozbek

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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.

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3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. De Novo Autogenic Engineered Living Functional Materials.Advanced materials (Deerfield Beach, Fla.) · 2026
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  7. STIM1 transmembrane helix dimerization captured by AI-guided transition path sampling.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  9. Review
  10. Review
  11. BaNDyT: Bayesian Network modeling of molecular Dynamics Trajectories.bioRxiv : the preprint server for biology · 2024
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  12. Characterization ofACS omega · 2024
    Article
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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

2 authors.

Onur SerçinogluDepartment of Bioengineering, Faculty of Engineering, Marmara University, Kadikoy, Istanbul 34722, Turkey.
Pemra OzbekDepartment of Bioengineering, Faculty of Engineering, Marmara University, Kadikoy, Istanbul 34722, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atomistic molecular dynamics (MD) simulations generate a wealth of information related to the dynamics of proteins. If properly analyzed, this information can lead to new insights regarding protein function and assist wet-lab experiments. Aiming to identify interactions between individual amino acid residues and the role played by each in the context of MD simulations, we present a stand-alone software called gRINN (get Residue Interaction eNergies and Networks). gRINN features graphical user interfaces (GUIs) and a command-line interface for generating and analyzing pairwise residue interaction energies and energy correlations from protein MD simulation trajectories. gRINN utilizes the features of NAMD or GROMACS MD simulation packages and automatizes the steps necessary to extract residue-residue interaction energies from user-supplied simulation trajectories, greatly simplifying the analysis for the end-user. A GUI, including an embedded molecular viewer, is provided for visualization of interaction energy time-series, distributions, an interaction energy matrix, interaction energy correlations and a residue correlation matrix. gRINN additionally offers construction and analysis of Protein Energy Networks, providing residue-based metrics such as degrees, betweenness-centralities, closeness centralities as well as shortest path analysis. gRINN is free and open to all users without login requirement at http://grinn.readthedocs.io.

Indexed as

User-Computer InterfaceAmino AcidsHumansInternetMolecular Dynamics SimulationProtein Interaction Domains and MotifsProteinsThermodynamicsAmino AcidsProteins

Identifiers

PMID29800260
PMCPMC6030995

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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.