ArticleThe Journal of chemical physics2008
Electrostatic similarity of proteins: application of three dimensional spherical harmonic decomposition.
Article in The Journal of chemical physics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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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Who cites it
7 citing papers in PubMed.
- Multipole Expansion of the Scalar Potential on the Basis of Spherical Harmonics: Bridging the Gap Between the Inside and Outside Spaces via Solution of the Poisson Equation.Materials (Basel, Switzerland) · 2025Article
- Classification of Protein-Binding Sites Using a Spherical Convolutional Neural Network.Journal of chemical information and modeling · 2022Article
- AESOP: A Python Library for Investigating Electrostatics in Protein Interactions.Biophysical journal · 2017Article
- Electrostatic similarities between protein and small molecule ligands facilitate the design of protein-protein interaction inhibitors.PloS one · 2013Article
- The interaction properties of the human Rab GTPase family--comparative analysis reveals determinants of molecular binding selectivity.PloS one · 2012Article
- Electrostatically biased binding of kinesin to microtubules.PLoS biology · 2011Article
- Domain architecture evolution of pattern-recognition receptors.Immunogenetics · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
We present a method for describing and comparing global electrostatic properties of biomolecules based on the spherical harmonic decomposition of electrostatic potential data. Unlike other approaches our method does not require any prior three dimensional structural alignment. The electrostatic potential, given as a volumetric data set from a numerical solution of the Poisson or Poisson-Boltzmann equation, is represented with descriptors that are rotation invariant. The method can be applied to large and structurally diverse sets of biomolecules enabling to cluster them according to their electrostatic features.
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Registered trials
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.