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SWISS‐MODEL and the Swiss‐Pdb Viewer: An environment for comparative protein modeling
Abstract
Comparative protein modeling is increasingly gaining interest since it is of great assistance during the rational design of mutagenesis experiments. The availability of this method, and the resulting models, has however been restricted by the availability of expensive computer hardware and software. To overcome these limitations, we have developed an environment for comparative protein modeling that consists of SWISS‐MODEL, a server for automated comparative protein modeling and of the SWISS‐PdbViewer, a sequence to structure workbench. The Swiss‐PdbViewer not only acts as a client for SWISS‐MODEL, but also provides a large selection of structure analysis and display tools. In addition, we provide the SWISS‐MODEL Repository, a database containing more than 3500 automatically generated protein models. By making such tools freely available to the scientific community, we hope to increase the use of protein structures and models in the process of experiment design.
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Structural insight into the lactoferrin receptors from pathogenic Neisseria
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Developing the IVIG biomimetic, Hexa-Fc, for drug and vaccine applications
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Versatile Regulation of Neuronal Nitric Oxide Synthase by Specific Regions of Its C-Terminal Tail
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Characterization of zfs1 as an mRNA-binding and -destabilizing Protein in Schizosaccharomyces pombe
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Metadata
- Authors
- Guex, N., & Peitsch, M. C.
- Venue
- ELECTROPHORESIS
- Publisher
- Wiley
- Published
- 1997-01
- Volume
- 18
- Issue
- 15
- Pages
- 2714-2723
- ISSN
- 0173-0835 (ISSN-L)
- 1522-2683
- OpenAlex
- W2015642465
- Cited by
- 11,241
- References
- 2
- FWCI
- 25.76
- 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 ›
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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.