alphamissense.hegelab.org
AlphaMissense is a powerful tool for visually and individually inspecting all variants of a protein.
Researchers can easily browse through each variant and download the dataset for each protein as a TSV file for local analysis (e.g. in Excel).
This functionality is particularly valuable for detailed variant analysis and hypothesis generation.
3dbeacons.hegelab.org
3D Beacons provides access to standardized 3D protein structures across various 3D databases, supporting structural biology research.
This tool is part of a broader effort to harmonize structural data presentation and accessibility.
conftors.hegelab.org
We proposed standardized measures for characterizing ABC Type I exporter structures. We introduced conformational vectors, or conftors, to describe the relative orientation of domains and highlight structural differences. We believe these measures could be crucial for describing protein conformation and dynamics across various protein families in a standardized way.
abc3d.hegelab.org
ABC3D is a comprehensive collection of full-length ABC transporter protein structures from the Protein Data Bank (PDB).
abcm2.hegelab.org
ABCM2 offers detailed insights into mutations affecting ABC transporters.
This dataset is for researchers exploring the functional impacts of mutations and their roles in transporter-related diseases.
It links mutations, including laboratory mutations, with corresponding sentences from the literature.
rbcc.hegelab.org
RBCC offers data on red blood cell transmembrane proteins, making it especially valuable for those developing blood-based diagnostic tools.
memblob.hegelab.org
MemBlob extracts transmembrane helix locations from cryo-EM densities, offering detailed insights into membrane protein structures. This tool is particularly useful for researchers interested in mapping of TM regions in membrane proteins based on experimental data.
memmorf.hegelab.org
MemMoRF provides a dataset focused on the identification and characterization of membrane-associated molecular recognition features (MoRFs).
plmmorf.hegelab.org
pLMMoRF is a predictive tool designed to detect membrane-interacting MoRFs using embeddings from protein langauge models.
abcg.hegelab.org
Nagy et al. Cell Mol Life Sci. 2021
Laszlo et al. PLoS One. 2016
cftr.hegelab.org
Farkas et al. Cell Mol Life Sci. 2020
disorder.hegelab.org
Szollosi et al. PLoS One. 2014
ahr.hegelab.org Szollosi et al. PLoS One. 2016