DREAMM
Basic information
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Description
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.
Tagline
DREAMM is a novel machine learning tool that predicts the protein-membrane interfaces of peripheral membrane proteins using ensemble.
Logo
https://catalogue.ni4os.eu/img/DREAMM-Logo.png
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Classification information
Scientific domain
Natural Sciences
Scientific 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
Management information
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Geographical and language availability information
Geographical availability
Other
Language availability
en
Resource location information
Resource geographic location
Greece (EL)
Resource owner
First name
Zoe
Last name
Cournia
zcournia@bioacademy.gr
Phone
+302106597195
Position
Associate Professor
Organisation
Biomedical Research Foundation, Academy of Athens
Maturity information
Technology readiness level
TRL9