The HADDOCK2.2 Web Server: User-Friendly Integrative Modeling of Biomolecular Complexes

Area of Science:

• Structural biology
• Computational chemistry
• Drug design

Background:

• Accurate prediction of quaternary structure is crucial for understanding cellular mechanisms and developing new drugs.
• Integrative structural biology methods improve modeling accuracy by incorporating diverse experimental and predictive data.
• The HADDOCK (High Ambiguity Driven DOCKing) approach utilizes information-driven strategies for biomolecular complex modeling.

Purpose of the Study:

• To present the updated HADDOCK2.2 portal, enhancing its capabilities for predicting biomolecular complex structures.
• To introduce new features, improved protocols, and a user-friendly interface for the HADDOCK web server.
• To support the scientific community in addressing complex biological questions through advanced structural modeling.

Main Methods:

• Information-driven docking approach (HADDOCK).
• Integration of experimental and predictive data into modeling protocols.
• Development of an updated web portal (HADDOCK2.2) with enhanced features and user interface.

Main Results:

• HADDOCK2.2 offers support for mixed molecule types and additional experimental restraints.
• Improved protocols and a user-friendly interface enhance the usability of the web server.
• The HADDOCK portal has a large user base (over 6000 registered users) and has served over 108,000 jobs.

Conclusions:

• The HADDOCK2.2 upgrade provides advanced tools for biomolecular structure prediction.
• The enhanced portal facilitates the integration of diverse data for more accurate modeling.
• This resource aims to accelerate discoveries in structural biology and drug design.