DREAMM

DREAMM is a novel machine learning tool that predicts the protein-membrane interfaces of peripheral membrane proteins using ensemble.


DREAMM is a novel machine learning tool that predicts the protein-membrane interfaces of peripheral membrane protein, and optionally predicts binding sites near the predicted membrane-penetrating residues in protein conformational ensembles. As an output, the user can retrieve the membrane-penetrating residues in a .csv file and if the user's choice was to predict binding sites, a .zip file will be downloaded including the abovementioned .csv file, the binding pocket predictions, the visualizations, and summarized the binding site clustering results.

Resource organization

Resource providers

ON-BOARDED 
...
Biomedical Research Foundation, Academy of Athens

Soranou Ephesiou 4, 11527 Athens, Greece (EL)

ON-BOARDED 
...
Biomedical Research Foundation, Academy of Athens

Soranou Ephesiou 4, 11527 Athens, Greece (EL)

 THEMATIC
ON-BOARDED 

...

Website

https://dreamm.ni4os.eu/

Readiness

TRL9

Domain

Natural Sciences

Subdomain

Physical Sciences Biological Sciences Computer & Information Sciences

Category

Software

Subcategory

Platform

Target users

Research Groups Businesses Innovators Students Research Projects Researchers Research Organisations

Access type

Virtual

Access mode

Free

Tags

protein-membrane-interactions protein-membrane-regions membrane-penetrating-residues membrane-binding domains machine-learning binding-site-prediction drugging-membrane-proteins peripheral-membrane-proteins

Contact

Zoe Cournia, Associate Professor
email: zcournia@bioacademy.gr
phone: +302106597195

Helpdesk e-mail

zcournia@bioacademy.gr

Security contact e-mail

zcournia@bioacademy.gr

The NI4OS-Europe project is funded by the European Commission under the Horizon 2020 European research infrastructures grant agreement no. 857645.