Aggrescan3D 2.0
Aggrescan3D 2.0 predicts the aggregation propensity of protein structures and supports rational design to improve protein solubility.
Key Features:
- Dynamic Mode Analysis: Incorporates a dynamic mode that accounts for the flexibility of natural and engineered polypeptides and their fluctuations when predicting aggregation propensity.
- Extended Dynamic Calculations: Extends dynamic calculations to handle significantly larger proteins and multimeric complexes.
- Simultaneous Solubility and Stability Predictions: Predicts changes in protein solubility and stability upon mutations in a single computational workflow.
- Rapid Screening for Functional Variants: Enables rapid computational screening to identify functional protein variants with improved solubility.
- RESTful Service Integration: Provides a RESTful service to integrate Aggrescan3D 2.0 calculations into automated pipelines and high-throughput workflows.
Scientific Applications:
- Study of disease-associated aggregation: Predicts aggregative tendencies relevant to human disorders, including neurodegenerative disorders.
- Therapeutic protein design: Aids identification and design of therapeutic protein variants with reduced aggregation risk.
- Biopharmaceutical protein engineering: Supports engineering of soluble proteins for biopharmaceutical manufacturing applications.
Methodology:
Structure-based prediction models that incorporate dynamic fluctuations of protein structures to assess aggregation propensity and predict effects of mutations.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 8/9/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Kuriata A, Iglesias V, Pujols J, Kurcinski M, Kmiecik S, Ventura S. Aggrescan3D (A3D) 2.0: prediction and engineering of protein solubility. Nucleic Acids Research. 2019;47(W1):W300-W307. doi:10.1093/nar/gkz321. PMID:31049593. PMCID:PMC6602499.
DOI: 10.1093/NAR/GKZ321
PMID: 31049593
PMCID: PMC6602499
Funding: - Spanish Ministry of Economy and Competitiveness: BIO2016-78310-R
- National Science Center: MAESTRO2014/14/A/ST6/00088
Documentation
Links
Repository
http://bitbucket.org/lcbio/aggrescan3d