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Modulating protein–protein interactions: the potential of peptides
Abstract
An updated review focused on the latest progress in the field of peptides as modulators of protein–protein interactions.
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Computational Analysis of Protein Hotspots
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Self-citationConstruction and Analysis of High-Complexity Ribosome Display Random Peptide Libraries
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Metadata
- Authors
- Nevola, L., & Giralt, E.
- Venue
- Chemical Communications
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 51
- Issue
- 16
- Pages
- 3302-3315
- ISSN
- 1359-7345 (ISSN-L)
- 1364-548X
- OpenAlex
- W1969350101
- Cited by
- 289
- References
- 145
- FWCI
- 7.91
- 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.
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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.