Evidence map›Paper›PMID 20483343›Full record

ArticleBiophysical journal2010

New compstatin variants through two de novo protein design frameworks.

M L Bellows, H K Fung, M S Taylor, C A Floudas, A López de Victoria, D Morikis

Abstract read
In one paragraph

Article in Biophysical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Forcefield_PTM:Journal of chemical theory and computation · 2013
    Article
  11. Article
  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

6 authors.

M L BellowsDepartment of Chemical Engineering, Princeton University, Princeton, New Jersey, USA.
H K Fung
M S Taylor
C A Floudas
A López de Victoria
D Morikis

Funding

STRUCTURE PREDICTION OF PEPTIDES VIA GLOBAL OPTIMIZATIONR01GM052032 · NIGMS · PRINCETON UNIVERSITY · PI FLOUDAS, CHRISTODOULOS ACHILLEUS · 1996 to 2011
$1.9M
Computer Aided Design of Complement TherapeuticsR24GM069736 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LAMBRIS, JOHN D · 2004 to 2007
$1.8M
NIGMS NIH HHS R01 GM052032NIGMS NIH HHS R01 GM52032NIGMS NIH HHS R24 GM069736
6 · The paper itself

Abstract

Two de novo protein design frameworks are applied to the discovery of new compstatin variants. One is based on sequence selection and fold specificity, whereas the other approach is based on sequence selection and approximate binding affinity calculations. The proposed frameworks were applied to a complex of C3c with compstatin variant E1 and new variants with improved binding affinities are predicted and experimentally validated. The computational studies elucidated key positions in the sequence of compstatin that greatly affect the binding affinity. Positions 4 and 13 were found to favor Trp, whereas positions 1, 9, and 10 are dominated by Asn, and position 11 consists mainly of Gln. A structural analysis of the C3c-bound peptide analogs is presented.

Indexed as

Binding SitesProtein IsoformsModels, MolecularPeptides, CyclicStructure-Activity RelationshipcompstatinPeptides, CyclicProtein Isoforms

Identifiers

PMID20483343
PMCPMC2872270

What OpenQuestion holds

Textmetadata
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.