Evidence map›Paper›PMID 15215517›Full record

ReviewProtein science : a publication of the Protein Society2004

De novo proteins from designed combinatorial libraries.

Michael H Hecht, Aditi Das, Abigail Go, Luke H Bradley, Yinan Wei

Abstract readReview
In one paragraph

Review in Protein science : a publication of the Protein Society, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Review
  2. Science of the gaps.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  3. ACS central science · 2025
    Article
  4. Article
  5. Article
  6. Crystal structure and activity of a de novo enzyme, ferric enterobactin esterase Syn-F4.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. A de novo protein catalyzes the synthesis of semiconductor quantum dots.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
  10. De novo metalloprotein design.Nature reviews. Chemistry · 2022
    Article
  11. Article
  12. Article
  13. Quarterly reviews of biophysics · 2020
    Review
  14. Article
  15. A new era for understanding amyloid structures and disease.Nature reviews. Molecular cell biology · 2018
    Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review

5 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

5 authors.

Michael H HechtDepartment of Chemistry, Princeton University, Princeton, NJ 08544, USA. hecht@princeton.edu
Aditi Das
Abigail Go
Luke H Bradley
Yinan Wei

Funding

Libraries of Uniquely Folded Alpha-Helical ProteinsR01GM062869 · NIGMS · PRINCETON UNIVERSITY · PI HECHT, MICHAEL H · 2001 to 2004
$935k
NIGMS NIH HHS R01 GM062869
6 · The paper itself

Abstract

Combinatorial libraries of de novo amino acid sequences can provide a rich source of diversity for the discovery of novel proteins with interesting and important activities. Randomly generated sequences, however, rarely fold into well-ordered proteinlike structures. To enhance the quality of a library, features of rational design must be used to focus sequence diversity into those regions of sequence space that are most likely to yield folded structures. This review describes how focused libraries can be constructed by designing the binary pattern of polar and nonpolar amino acids to favor proteins that contain abundant secondary structure, while simultaneously burying hydrophobic side chains and exposing hydrophilic side chains to solvent. The "binary code" for protein design was used to construct several libraries of de novo proteins, including both alpha-helical and beta-sheet structures. The recently determined solution structure of a binary patterned four-helix bundle is well ordered, thereby demonstrating that sequences that have neither been selected by evolution (in vivo or in vitro) nor designed by computer can form nativelike proteins. Examples are presented demonstrating how binary patterned libraries have successfully produced well-ordered structures, cofactor binding, catalytic activity, self-assembled monolayers, amyloid-like nanofibrils, and protein-based biomaterials.

Indexed as

Models, ChemicalProtein EngineeringProtein FoldingProtein Structure, TertiaryProteinsProteins

Identifiers

PMID15215517
PMCPMC2279937

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.