Evidence map›Paper›PMID 19113835›Full record

ArticleBiochemistry2009

Exploring the molecular design of protein interaction sites with molecular dynamics simulations and free energy calculations.

Shide Liang, Liwei Li, Wei-Lun Hsu, Meaghan N Pilcher, Vladimir Uversky, Yaoqi Zhou, A Keith Dunker, Samy O Meroueh

Open access · greenAbstract read
In one paragraph

Article in Biochemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

21 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 1 institution in 1 country.

Shide LiangDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA.
Liwei Li
Wei-Lun Hsu
Meaghan N Pilcher
Vladimir Uversky
Yaoqi Zhou
A Keith Dunker
Samy O Meroueh
Indiana University – Purdue University Indianapolis · US

Funding

Statistical Energy Functions: a Fragment-based ApproachR01GM085003 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI ZHOU, YAOQI · 2008 to 2011
$1.1M
NIGMS NIH HHS R01 GM085003
6 · The paper itself

Abstract

The significant work that has been invested toward understanding protein-protein interaction has not translated into significant advances in structure-based predictions. In particular redesigning protein surfaces to bind to unrelated receptors remains a challenge, partly due to receptor flexibility, which is often neglected in these efforts. In this work, we computationally graft the binding epitope of various small proteins obtained from the RCSB database to bind to barnase, lysozyme, and trypsin using a previously derived and validated algorithm. In an effort to probe the protein complexes in a realistic environment, all native and designer complexes were subjected to a total of nearly 400 ns of explicit-solvent molecular dynamics (MD) simulation. The MD data led to an unexpected observation: some of the designer complexes were highly unstable and decomposed during the trajectories. In contrast, the native and a number of designer complexes remained consistently stable. The unstable conformers provided us with a unique opportunity to define the structural and energetic factors that lead to unproductive protein-protein complexes. To that end we used free energy calculations following the MM-PBSA approach to determine the role of nonpolar effects, electrostatics and entropy in binding. Remarkably, we found that a majority of unstable complexes exhibited more favorable electrostatics than native or stable designer complexes, suggesting that favorable electrostatic interactions are not prerequisite for complex formation between proteins. However, nonpolar effects remained consistently more favorable in native and stable designer complexes reinforcing the importance of hydrophobic effects in protein-protein binding. While entropy systematically opposed binding in all cases, there was no observed trend in the entropy difference between native and designer complexes. A series of alanine scanning mutations of hot-spot residues at the interface of native and designer complexes showed less than optimal contacts of hot-spot residues with their surroundings in the unstable conformers, resulting in more favorable entropy for these complexes. Finally, disorder predictions revealed that secondary structures at the interface of unstable complexes exhibited greater disorder than the stable complexes.

Indexed as

Computer SimulationModels, MolecularThermodynamicsAlgorithmsAnimalsAprotininBacterial ProteinsBinding SitesBinding Sites, AntibodyCattleChickensEntropyHumansLymphokinesModels, ChemicalMuramidaseAprotininBacillus amyloliquefaciens ribonucleaseBacterial Proteinsbarstar protein, Bacillus amyloliquefaciensFv protein, humanhen egg lysozymeLymphokinesMuramidaseProteinsRibonucleasesSialoglycoproteinsTrypsin

Identifiers

PMID19113835
PMCPMC2754190
OpenAlexW1977157176

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.