Evidence map›Paper›PMID 18941751›Full record

ArticleJournal of mathematical biology2009

Geometric and potential driving formation and evolution of biomolecular surfaces.

P W Bates, Zhan Chen, Yuhui Sun, Guo-Wei Wei, Shan Zhao

Abstract read
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In one paragraph

Article in Journal of mathematical biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A review of mathematical representations of biomolecular data.Physical chemistry chemical physics : PCCP · 2020
    Review
  5. Variational implicit-solvent predictions of the dry-wet transition pathways for ligand-receptor binding and unbinding kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Object-oriented Persistent Homology.Journal of computational physics · 2016
    Article
  12. Article
  13. Article
  14. Multidimensional persistence in biomolecular data.Journal of computational chemistry · 2015
    Article
  15. Article
  16. Review
  17. Article
  18. Persistent homology analysis of protein structure, flexibility, and folding.International journal for numerical methods in biomedical engineering · 2014
    Article
  19. A unified discontinuous Galerkin framework for time integration.Mathematical methods in the applied sciences · 2014
    Article
  20. Variational Implicit Solvation with Poisson-Boltzmann Theory.Journal of chemical theory and computation · 2014
    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

5 authors.

P W BatesDepartment of Mathematics, Michigan State University, East Lansing, MI 48824, USA. bates@math.msu.edu
Zhan Chen
Yuhui Sun
Guo-Wei Wei
Shan Zhao

Funding

Temperature-Modulated Bioluminescence TomographyR21CA127189 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI WANG, GE · 2007 to 2008
$319k
NCI NIH HHS CA127189
6 · The paper itself

Abstract

This paper presents new geometrical flow equations for the theoretical modeling of biomolecular surfaces in the context of multiscale implicit solvent models. To account for the local variations near the biomolecular surfaces due to interactions between solvent molecules, and between solvent and solute molecules, we propose potential driven geometric flows, which balance the intrinsic geometric forces that would occur for a surface separating two homogeneous materials with the potential forces induced by the atomic interactions. Stochastic geometric flows are introduced to account for the random fluctuation and dissipation in density and pressure near the solvent-solute interface. Physical properties, such as free energy minimization (area decreasing) and incompressibility (volume preserving), are realized by some of our geometric flow equations. The proposed approach for geometric and potential forces driving the formation and evolution of biological surfaces is illustrated by extensive numerical experiments and compared with established minimal molecular surfaces and molecular surfaces. Local modification of biomolecular surfaces is demonstrated with potential driven geometric flows. High order geometric flows are also considered and tested in the present work for surface generation. Biomolecular surfaces generated by these approaches are typically free of geometric singularities. As the speed of surface generation is crucial to implicit solvent model based molecular dynamics, four numerical algorithms, a semi-implicit scheme, a Crank-Nicolson scheme, and two alternating direction implicit (ADI) schemes, are constructed and tested. Being either stable or conditionally stable but admitting a large critical time step size, these schemes overcome the stability constraint of the earlier forward Euler scheme. Aided with the Thomas algorithm, one of the ADI schemes is found to be very efficient as it balances the speed and accuracy.

Indexed as

Models, MolecularAlgorithmsAmino AcidsAnimalsApoproteinsBacterial ProteinsComputer SimulationEscherichia coli ProteinsHumansLeukemia Inhibitory FactorNeurotoxinsNuclear ProteinsNucleic AcidsPlant ProteinsPromyelocytic Leukemia ProteinProteinsAmino AcidsApoproteinsBacterial Proteinscrambin protein, Crambe abyssinicaEscherichia coli ProteinsLeukemia Inhibitory FactorNeurotoxinsNuclear ProteinsNucleic AcidsPlant ProteinsPML protein, humanPromyelocytic Leukemia ProteinProteinsReceptors, LDLRepressor ProteinsRho FactorSolventsTranscription FactorsTRPR protein, E coliTumor Suppressor Proteins

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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.