Evidence map›Paper›PMID 31106363›Full record

ArticleNucleic acids research2019

NAPS update: network analysis of molecular dynamics data and protein-nucleic acid complexes.

Broto Chakrabarty, Varun Naganathan, Kanak Garg, Yash Agarwal, Nita Parekh

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. BaNDyT: Bayesian Network modeling of molecular Dynamics Trajectories.bioRxiv : the preprint server for biology · 2024
    Article
  9. Review
  10. Article
  11. AQcalc: A web server that identifies weak molecular interactions in protein structures.Protein science : a publication of the Protein Society · 2023
    Article
  12. Article
  13. Article
  14. Mechanistic Studies on the Stereoselectivity of FFAR1 Modulators.Journal of chemical information and modeling · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Journal of biosciences · 2022
    Review
  19. Computational tools to study RNA-protein complexes.Frontiers in molecular biosciences · 2022
    Review
  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

5 authors.

Broto ChakrabartyCentre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology - Hyderabad 500032, India.
Varun NaganathanCentre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology - Hyderabad 500032, India.
Kanak GargCentre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology - Hyderabad 500032, India.
Yash AgarwalCentre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology - Hyderabad 500032, India.
Nita ParekhCentre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology - Hyderabad 500032, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Network theory is now a method of choice to gain insights in understanding protein structure, folding and function. In combination with molecular dynamics (MD) simulations, it is an invaluable tool with widespread applications such as analyzing subtle conformational changes and flexibility regions in proteins, dynamic correlation analysis across distant regions for allosteric communications, in drug design to reveal alternative binding pockets for drugs, etc. Updated version of NAPS now facilitates network analysis of the complete repertoire of these biomolecules, i.e., proteins, protein-protein/nucleic acid complexes, MD trajectories, and RNA. Various options provided for analysis of MD trajectories include individual network construction and analysis of intermediate time-steps, comparative analysis of these networks, construction and analysis of average network of the ensemble of trajectories and dynamic cross-correlations. For protein-nucleic acid complexes, networks of the whole complex as well as that of the interface can be constructed and analyzed. For analysis of proteins, protein-protein complexes and MD trajectories, network construction based on inter-residue interaction energies with realistic edge-weights obtained from standard force fields is provided to capture the atomistic details. Updated version of NAPS also provides improved visualization features, interactive plots and bulk execution. URL: http://bioinf.iiit.ac.in/NAPS/.

Indexed as

Molecular Dynamics SimulationSoftwareDNADNA-Binding ProteinsMultiprotein ComplexesNucleic Acid ConformationProtein ConformationRNARNA-Binding ProteinsDNADNA-Binding ProteinsMultiprotein ComplexesRNARNA-Binding Proteins

Identifiers

PMID31106363
PMCPMC6602509

What OpenQuestion holds

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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.