ANCHOR

ANCHOR predicts protein binding regions within intrinsically disordered proteins (IDPs) by estimating residue-level energetic propensity to remain disordered or to adopt ordered conformations upon binding, supporting identification of disordered binding sites and redox-sensitive regions.


Key Features:

  • Integration with IUPred2A and IUPred2: Operates alongside IUPred2 and ANCHOR2 functionalities to combine disorder prediction with disordered binding region detection.
  • Energy estimation: Uses energy estimation methods on amino acid sequences to predict ordered and disordered residues by evaluating the energetic favorability of local structure formation.
  • Disordered binding region prediction (ANCHOR2): Implements ANCHOR2 with a revised architecture and parameters optimized on novel datasets to identify IDP regions that bind globular protein partners.
  • Redox-sensitive region identification: Highlights regions whose predicted binding or disorder propensity is modulated by redox conditions.
  • RESTful programmatic access: Provides a RESTful interface for automated query and retrieval of prediction results.
  • Output formats: Produces text and graphical outputs representing per-residue disorder and binding propensity scores.

Scientific Applications:

  • Protein–protein interaction studies: Identification of candidate binding regions in IDPs to inform mapping of interactions with globular partners.
  • Disease mechanism exploration: Characterization of disordered regions implicated in disease-associated dysregulation of IDPs.
  • Drug discovery and development: Prioritization of disordered binding sites as targets for therapeutic intervention or modulation.

Methodology:

Computational analysis of protein amino acid sequences using energy estimation to model the energetic landscape of ordered versus disordered states and predict regions likely to form structure upon binding; ANCHOR2 employs a revised architecture and parameters optimized on novel datasets and predictions incorporate redox influence on propensity.

Topics

Details

Tool Type:
api, command-line tool
Operating Systems:
Mac, Linux, Windows
Added:
11/11/2021
Last Updated:
11/24/2024

Operations

Publications

Mészáros B, Erdős G, Dosztányi Z. IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding. Nucleic Acids Research. 2018;46(W1):W329-W337. doi:10.1093/nar/gky384. PMID:29860432. PMCID:PMC6030935.

PMID: 29860432
PMCID: PMC6030935
Funding: - Hungarian Academy of Sciences: LP2014-18 - Országos Tudományos Kutatási Alapprogramok: K108798

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