Evidence map›Paper›PMID 21645855›Full record

ArticleStructure (London, England : 1993)2011

A smoothed backbone-dependent rotamer library for proteins derived from adaptive kernel density estimates and regressions.

Maxim V Shapovalov, Roland L Dunbrack

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 524 papers.

0numbers the graph read from it
0cells of the map it votes in
524citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

524 citing papers in PubMed.

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  4. EvoMut: A computational framework for engineering oxidative stability in proteins.Protein science : a publication of the Protein Society · 2026
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  14. Integrated mapping resolves pathogenicity of 11Journal of the Endocrine Society · 2026
    Article
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  20. Article

464 more citing papers are in PubMed but not listed here.

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

2 authors.

Maxim V ShapovalovInstitute for Cancer Research, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA.
Roland L Dunbrack

Funding

New Methods for High-Resolution Comparative ModelingP20GM076222 · NIGMS · RESEARCH INST OF FOX CHASE CAN CTR · PI DUNBRACK, ROLAND L · 2006 to 2009
$3.3M
Bayesian Statistics and Algorithms for Homology ModelingR01GM084453 · NIGMS · RESEARCH INST OF FOX CHASE CAN CTR · PI DUNBRACK, ROLAND L · 2008 to 2016
$2.6M
NIGMS NIH HHS P20 GM076222NIGMS NIH HHS P20 GM76222NIGMS NIH HHS R01 GM084453NIGMS NIH HHS R01 GM84453
6 · The paper itself

Abstract

Rotamer libraries are used in protein structure determination, prediction, and design. The backbone-dependent rotamer library consists of rotamer frequencies, mean dihedral angles, and variances as a function of the backbone dihedral angles. Structure prediction and design methods that employ backbone flexibility would strongly benefit from smoothly varying probabilities and angles. A new version of the backbone-dependent rotamer library has been developed using adaptive kernel density estimates for the rotamer frequencies and adaptive kernel regression for the mean dihedral angles and variances. This formulation allows for evaluation of the rotamer probabilities, mean angles, and variances as a smooth and continuous function of phi and psi. Continuous probability density estimates for the nonrotameric degrees of freedom of amides, carboxylates, and aromatic side chains have been modeled as a function of the backbone dihedrals and rotamers of the remaining degrees of freedom. New backbone-dependent rotamer libraries at varying levels of smoothing are available from http://dunbrack.fccc.edu.

Indexed as

Models, MolecularAlgorithmsAmino AcidsComputational BiologyComputer SimulationProtein ConformationProteinsThermodynamicsAmino AcidsProteins

Identifiers

PMID21645855
PMCPMC3118414

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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.