DREAMM

Basic information

Marketing information

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

Multimedia

https://catalogue.ni4os.eu/mov/DREAMM-Multimedia.mp4

logo

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

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

E-mail

zcournia@bioacademy.gr

Phone

+302106597195

Position

Associate Professor

Organisation

Biomedical Research Foundation, Academy of Athens

Maturity information

Technology readiness level

TRL9

version: 1.2.1