The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Improving catalytic function by ProSAR-driven enzyme evolution
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Citations
Cites
SIMPLS: An alternative approach to partial least squares regression
de Jong, S. (1993) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/0169-7439(93)85002-x · Cited by 1,905
QSAR and 3D QSAR in drug design Part 1: methodology
Kubinyi, H. (1997) · Drug Discovery Today · doi:10.1016/s1359-6446(97)01079-9 · Cited by 357
Cited by
Unified rational protein engineering with sequence-based deep representation learning
Alley, E. C., Khimulya, G., Biswas, S., AlQuraishi, M., & Church, G. M. (2019) · Nature Methods · doi:10.1038/s41592-019-0598-1 · Cited by 1,131
Machine-learning-guided directed evolution for protein engineering
Yang, K. K., Wu, Z., & Arnold, F. H. (2019) · Nature Methods · doi:10.1038/s41592-019-0496-6 · Cited by 1,130
Directed evolution drives the next generation of biocatalysts
Turner, N. J. (2009) · Nature Chemical Biology · doi:10.1038/nchembio.203 · Cited by 785
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
Low-N protein engineering with data-efficient deep learning
Biswas, S., Khimulya, G., Alley, E. C., Esvelt, K. M., & Church, G. M. (2021) · Nature Methods · doi:10.1038/s41592-021-01100-y · Cited by 422
Metadata
- Authors
- Fox, R. J., Davis, S. C., Mundorff, E. C., Newman, L. M., Gavrilovic, V., Ma, S. K., Chung, L. M., Ching, C., Tam, S., Muley, S., Grate, J., Gruber, J., Whitman, J. C., Sheldon, R. A., & Huisman, G. W.
- Venue
- Nature Biotechnology
- Published
- 2007-02-18
- Volume
- 25
- Issue
- 3
- Pages
- 338-344
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2156454061
- Cited by
- 543
- References
- 2
- FWCI
- 11.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Improving catalytic function by ProSAR-driven enzyme evolution. https://app.cochat.ai/papers/10.1038/nbt1286
- The paper
- Fox, R. J., Davis, S. C., Mundorff, E. C., Newman, L. M., Gavrilovic, V., Ma, S. K., Chung, L. M., Ching, C., Tam, S., Muley, S., Grate, J., Gruber, J., Whitman, J. C., Sheldon, R. A., & Huisman, G. W. (2007). Improving catalytic function by ProSAR-driven enzyme evolution. Nature Biotechnology. https://doi.org/10.1038/nbt1286
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.
