Evidence map›Paper›PMID 23844614›Full record

ArticleAlgorithms for molecular biology : AMB2013

MORPH-PRO: a novel algorithm and web server for protein morphing.

Natalie E Castellana, Andrey Lushnikov, Piotr Rotkiewicz, Natasha Sefcovic, Pavel A Pevzner, Adam Godzik, Kira Vyatkina

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Article in Algorithms for molecular biology : AMB, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. As-Rigid-As-Possible molecular interpolation paths.Journal of computer-aided molecular design · 2017
    Article
4 · The record

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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

7 authors.

Natalie E CastellanaAlgorithmic Biology Laboratory, Saint Petersburg Academic University, Saint Petersburg, Russia. kira@math.spbu.ru.
Andrey Lushnikov
Piotr Rotkiewicz
Natasha Sefcovic
Pavel A Pevzner
Adam Godzik
Kira Vyatkina

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProteins are known to be dynamic in nature, changing from one conformation to another while performing vital cellular tasks. It is important to understand these movements in order to better understand protein function. At the same time, experimental techniques provide us with only single snapshots of the whole ensemble of available conformations. Computational protein morphing provides a visualization of a protein structure transitioning from one conformation to another by producing a series of intermediate conformations.

resultsWe present a novel, efficient morphing algorithm, Morph-Pro based on linear interpolation. We also show that apart from visualization, morphing can be used to provide plausible intermediate structures. We test this by using the intermediate structures of a c-Jun N-terminal kinase (JNK1) conformational change in a virtual docking experiment. The structures are shown to dock with higher score to known JNK1-binding ligands than structures solved using X-Ray crystallography. This experiment demonstrates the potential applications of the intermediate structures in modeling or virtual screening efforts.

conclusionsVisualization of protein conformational changes is important for characterization of protein function. Furthermore, the intermediate structures produced by our algorithm are good approximations to true structures. We believe there is great potential for these computationally predicted structures in protein-ligand docking experiments and virtual screening. The Morph-Pro web server can be accessed at http://morph-pro.bioinf.spbau.ru.

Identifiers

PMID23844614
PMCPMC3738870

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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.