Evidence map›Paper›PMID 19247429›Full record

ArticlePLoS computational biology2009

Rapid sampling of molecular motions with prior information constraints.

Barak Raveh, Angela Enosh, Ora Schueler-Furman, Dan Halperin

Abstract read
In one paragraph

Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Using Spectral Representation to Classify Proteins' Conformational States.International journal of molecular sciences · 2018
    Article
  5. Article
  6. Article
  7. Maintaining and Enhancing Diversity of Sampled Protein Conformations in Robotics-Inspired Methods.Journal of computational biology : a journal of computational molecular cell biology · 2018
    Article
  8. Article
  9. As-Rigid-As-Possible molecular interpolation paths.Journal of computer-aided molecular design · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. MORPH-PRO: a novel algorithm and web server for protein morphing.Algorithms for molecular biology : AMB · 2013
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Markov dynamic models for long-timescale protein motion.Bioinformatics (Oxford, England) · 2010
    Article
  20. Tracing conformational changes in proteins.BMC structural biology · 2010
    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

4 authors.

Barak RavehDepartment of Molecular Genetics and Biotechnology, Institute of Medical Research, Hadassah Medical School, The Hebrew University, Jerusalem, Israel.
Angela Enosh
Ora Schueler-Furman
Dan Halperin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins are active, flexible machines that perform a range of different functions. Innovative experimental approaches may now provide limited partial information about conformational changes along motion pathways of proteins. There is therefore a need for computational approaches that can efficiently incorporate prior information into motion prediction schemes. In this paper, we present PathRover, a general setup designed for the integration of prior information into the motion planning algorithm of rapidly exploring random trees (RRT). Each suggested motion pathway comprises a sequence of low-energy clash-free conformations that satisfy an arbitrary number of prior information constraints. These constraints can be derived from experimental data or from expert intuition about the motion. The incorporation of prior information is very straightforward and significantly narrows down the vast search in the typically high-dimensional conformational space, leading to dramatic reduction in running time. To allow the use of state-of-the-art energy functions and conformational sampling, we have integrated this framework into Rosetta, an accurate protocol for diverse types of structural modeling. The suggested framework can serve as an effective complementary tool for molecular dynamics, Normal Mode Analysis, and other prevalent techniques for predicting motion in proteins. We applied our framework to three different model systems. We show that a limited set of experimentally motivated constraints may effectively bias the simulations toward diverse predicates in an outright fashion, from distance constraints to enforcement of loop closure. In particular, our analysis sheds light on mechanisms of protein domain swapping and on the role of different residues in the motion.

Indexed as

SoftwareProtein ConformationProteinsProteins

Identifiers

PMID19247429
PMCPMC2637990

What OpenQuestion holds

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LicenceCC BY
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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.