Evidence map›Paper›PMID 19274707›Full record

ArticleJournal of computational chemistry2009

MCCE2: improving protein pKa calculations with extensive side chain rotamer sampling.

Yifan Song, Junjun Mao, M R Gunner

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing 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

111 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. KaMLs for Predicting Protein pJournal of chemical theory and computation · 2025
    Article
  11. Improved Structure-Based Histidine pJournal of chemical information and modeling · 2025
    Article
  12. KaMLs for Predicting Protein pbioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Accurately Predicting Protein pJournal of chemical theory and computation · 2023
    Article
  18. Comparative Performance of High-Throughput Methods for Protein pJournal of chemical information and modeling · 2023
    Article
  19. Article
  20. Article

51 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

3 authors.

Yifan SongDepartment of Physics, J-419 City College of New York, 138th Street, Convent Avenue, New York, New York 10031, USA.
Junjun Mao
M R Gunner

Funding

TNC FUNCTION IN APOPTOTIC ANTIGEN DRIVEN AUTOIMMUNITYG12RR003060 · NCRR · CITY COLLEGE OF NEW YORK · PI GUYDEN, JERRY · 1985 to 2011
$26.1M
NCRR NIH HHS G12 RR003060NCRR NIH HHS RR03060
6 · The paper itself

Abstract

Multiconformation continuum electrostatics (MCCE) explores different conformational degrees of freedom in Monte Carlo calculations of protein residue and ligand pK(a)s. Explicit changes in side chain conformations throughout a titration create a position dependent, heterogeneous dielectric response giving a more accurate picture of coupled ionization and position changes. The MCCE2 methods for choosing a group of input heavy atom and proton positions are described. The pK(a)s calculated with different isosteric conformers, heavy atom rotamers and proton positions, with different degrees of optimization are tested against a curated group of 305 experimental pK(a)s in 33 proteins. QUICK calculations, with rotation around Asn and Gln termini, sampling His tautomers and torsion minimum hydroxyls yield an RMSD of 1.34 with 84% of the errors being <1.5 pH units. FULL calculations adding heavy atom rotamers and side chain optimization yield an RMSD of 0.90 with 90% of the errors <1.5 pH unit. Good results are also found for pK(a)s in the membrane protein bacteriorhodopsin. The inclusion of extra side chain positions distorts the dielectric boundary and also biases the calculated pK(a)s by creating more neutral than ionized conformers. Methods for correcting these errors are introduced. Calculations are compared with multiple X-ray and NMR derived structures in 36 soluble proteins. Calculations with X-ray structures give significantly better pK(a)s. Results with the default protein dielectric constant of 4 are as good as those using a value of 8. The MCCE2 program can be downloaded from http://www.sci.ccny.cuny.edu/~mcce.

Indexed as

Crystallography, X-RayHydrogen-Ion ConcentrationLigandsModels, MolecularMonte Carlo MethodProteinsReproducibility of ResultsStatic ElectricityThermodynamicsLigandsProteins

Identifiers

PMID19274707
PMCPMC2735604

What OpenQuestion holds

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Registered trials

None linked

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.