SKEMPI
SKEMPI catalogs experimentally measured effects of mutations on protein–protein interactions to enable analysis of mutation impacts on binding affinity, kinetics, and thermodynamics in structure-resolved complexes.
Key Features:
- Manually curated mutation dataset: Contains 7,085 manually curated single and multiple mutations mapped to protein–protein complexes.
- Structure-resolved PPIs (PDB): Entries are linked to complex structures available in the Protein Data Bank (PDB).
- Binding free energy changes (ΔΔG): Reports experimental binding free energy changes for mutations to quantify effects on affinity.
- Kinetic rate constants: Provides changes in association and dissociation rate constants for 1,844 mutations.
- Thermodynamic parameters: Includes enthalpy and entropy changes for 443 mutations.
- Loss-of-binding annotations: Identifies 440 mutations that result in loss of detectable binding.
Scientific Applications:
- Mutation-impact analysis: Enables study of how sequence alterations affect binding affinity, kinetics, and thermodynamics.
- Protein engineering: Supports design and engineering of proteins with modified interaction properties.
- Signaling and complex regulation studies: Facilitates investigation of cellular signaling pathways and molecular complex regulation affected by interaction changes.
- Disease mechanism research: Aids analysis of how genetic mutations lead to loss or alteration of protein–protein interactions relevant to disease.
Methodology:
Manually curated experimental measurements of binding free energy, kinetic rate constants, and thermodynamic parameters are collected and mapped to PDB complex structures.
Topics
Details
- License:
- CC-BY-4.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Windows, Linux, Mac
- Added:
- 8/27/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Jankauskaitė J, Jiménez-García B, Dapkūnas J, Fernández-Recio J, Moal IH. SKEMPI 2.0: an updated benchmark of changes in protein–protein binding energy, kinetics and thermodynamics upon mutation. Bioinformatics. 2018;35(3):462-469. doi:10.1093/bioinformatics/bty635. PMID:30020414. PMCID:PMC6361233.
PMID: 30020414
PMCID: PMC6361233
Funding: - Future Leader Fellowship: BB/N011600/1
- MINECO: BIO2016-79930-R
- Interreg POCTEFA: EFA086/15
- European Commission: 676566
Documentation
FAQ', 'User manual
https://life.bsc.es/pid/skempi2/info/faq_and_helpDownloads
- Biological dataVersion: 2.0https://life.bsc.es/pid/skempi2/database/index