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.

PMID: 31049593
PMCID: PMC6602499
Funding: - Spanish Ministry of Economy and Competitiveness: BIO2016-78310-R - National Science Center: MAESTRO2014/14/A/ST6/00088

Documentation

Links