The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Computational tools for designing and engineering enzymes
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
Rational Engineering of Enzyme Allosteric Regulation through Sequence Evolution Analysis
Yang, J.-S., Seo, S. W., Jang, S., Jung, G. Y., & Kim, S. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002612 · Cited by 87
Cited by
The Crucial Role of Methodology Development in Directed Evolution of Selective Enzymes
Qu, G., Li, A., Acevedo‐Rocha, C. G., Sun, Z., & Reetz, M. T. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.201901491 · Cited by 473
Embracing Nature’s Catalysts: A Viewpoint on the Future of Biocatalysis
Hauer, B. (2020) · ACS Catalysis · doi:10.1021/acscatal.0c01708 · Cited by 284
Machine learning for biochemical engineering: A review
Mowbray, M., Savage, T., Wu, C., Song, Z., Cho, B. A., Del Rio-Chanona, E. A., & Zhang, D. (2021) · Biochemical Engineering Journal · doi:10.1016/j.bej.2021.108054 · Cited by 188
Rubisco Adaptation Is More Limited by Phylogenetic Constraint Than by Catalytic Trade-off
Bouvier, J. W., Emms, D. M., Rhodes, T., Bolton, J. S., Brasnett, A., Eddershaw, A., Nielsen, J. R., Unitt, A., Whitney, S. M., & Kelly, S. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab079 · Cited by 65
Mutexa: A Computational Ecosystem for Intelligent Protein Engineering
Yang, Z. J., Shao, Q., Jiang, Y., Jurich, C., Ran, X., Juarez, R. J., Yan, B., Stull, S. L., Gollu, A., & Ding, N. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.3c00602 · Cited by 28
Metadata
- Authors
- Damborsky, J., & Brezovsky, J.
- Venue
- Current Opinion in Chemical Biology
- Publisher
- Elsevier BV
- Published
- 2014-04
- Volume
- 19
- Pages
- 8-16
- ISSN
- 1367-5931 (ISSN-L)
- OpenAlex
- W2116329058
- Cited by
- 211
- References
- 1
- FWCI
- 1.63
- Type
- journal article
- Language
- en
- Open access
- closed
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: Computational tools for designing and engineering enzymes. https://app.cochat.ai/papers/10.1016/j.cbpa.2013.12.003
- The paper
- Damborsky, J., & Brezovsky, J. (2014). Computational tools for designing and engineering enzymes. Current Opinion in Chemical Biology. https://doi.org/10.1016/j.cbpa.2013.12.003
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.