The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
De novo proteins from designed combinatorial libraries
Open accessAbstract
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 α‐helical and β‐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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lowenstam, H. A., & Weiner, S. (1989) · doi:10.1093/oso/9780195049770.001.0001 · Cited by 2,090
Control of Aragonite or Calcite Polymorphism by Mollusk Shell Macromolecules
Falini, G., Albeck, S., Weiner, S., & Addadi, L. (1996) · Science · doi:10.1126/science.271.5245.67 · Cited by 1,437
Rationally designed mutations convert de novo amyloid-like fibrils into monomeric β-sheet proteins
Wang, W., & Hecht, M. H. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.052706199 · Cited by 159
Self-citation
Cited by
Dill, K. A., Ozkan, S. B., Shell, M. S., & Weikl, T. R. (2008) · Annual Review of Biophysics · doi:10.1146/annurev.biophys.37.092707.153558 · Cited by 1,163
Global analysis of protein folding using massively parallel design, synthesis, and testing
Rocklin, G. J., Chidyausiku, T. M., Goreshnik, I., Ford, A., Houliston, S., Lemak, A., Carter, L., Ravichandran, R., Mulligan, V. K., Chevalier, A., et al. (2017) · Science · doi:10.1126/science.aan0693 · Cited by 501
Protein Design: Toward Functional Metalloenzymes
Yu, F., Cangelosi, V. M., Zastrow, M. L., Tegoni, M., Plegaria, J. S., Tebo, A. G., Mocny, C. S., Ruckthong, L., Qayyum, H., & Pecoraro, V. L. (2014) · Chemical Reviews · doi:10.1021/cr400458x · Cited by 441
Addressing the Numbers Problem in Directed Evolution
Reetz, M. T., Kahakeaw, D., & Lohmer, R. (2008) · ChemBioChem · doi:10.1002/cbic.200800298 · Cited by 438
Protein Design by Directed Evolution
Jäckel, C., Kast, P., & Hilvert, D. (2008) · Annual Review of Biophysics · doi:10.1146/annurev.biophys.37.032807.125832 · Cited by 409
Metadata
- Authors
- Hecht, M. H., Das, A., Go, A., Bradley, L. H., & Wei, Y.
- Venue
- Protein Science
- Publisher
- Wiley
- Published
- 2004-07
- Volume
- 13
- Issue
- 7
- Pages
- 1711-1723
- ISSN
- 0961-8368 (ISSN-L)
- 1469-896X
- OpenAlex
- W2156697496
- Cited by
- 268
- References
- 3
- FWCI
- 7.00
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: De novo proteins from designed combinatorial libraries. https://app.cochat.ai/papers/10.1110/ps.04690804
- The paper
- Hecht, M. H., Das, A., Go, A., Bradley, L. H., & Wei, Y. (2004). De novo proteins from designed combinatorial libraries. Protein Science. https://doi.org/10.1110/ps.04690804
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.