Table 1 Overview of databases related to liquid–liquid phase separation (LLPS)

Prediction of LLPS related proteins

SGnn

http://sgnn.ppmclab.com

Proteins bearing prion-like domains (PrLDs)

[27]

PhaSepDB

http://db.phasep.pro/

Phase-separation related proteins

[28]

D²P²

https://d2p2.pro/search

Phase-separation related proteins

[29]

PLAAC

http://plaac.wi.mit.edu/

Prion-Like Amino Acid Composition

[30]

DrLLPS

http://llps.biocuckoo.cn/

Proteins in this database are classified as drivers,

regulators and potential Clients

[31]

PhaSePro

https://phasepro.elte.hu

A manually curated database of LLPS driver proteins in various organisms, with emphasis on the biophysical properties that govern phase separation.

[32]

BioGRID

https://thebiogrid.org/

Database of Protein, Genetic and Chemical Interactions

[33]

LLPSDB

http://biocomp.ucas.ac.cn/llpsdb/home.aspx

A database of proteins undergoing LLPS in vitro

[34]

HUMAN CELL MAP

https://cell-map.org/ or https://humancellmap.org/

Summarizes for each compartment the enrichment of expected domains and motifs as well as GO-terms

Provides channels to analyze spatiotemporal correlations between proteins in different organelles

[35]

MLOsMetaDB

http://mlos.leloir.org.ar/

Unified resource of MLOs and LLPS associated proteins

[36]

catGRANULE

http://s.tartaglialab.com/

A website good at predicting LLPS propensity of dosage-sensitive proteins

[37]

PScore

https://github.com/haocai1992/PScore-online#pscore-online

A machine learning algorithm that predicts the likelihood of phase separated proteins

[38]

Prediction of LLPS related RNAs

RPS

http://rps.renlab.org/#/Home

A comprehensive database of RNAs involved in liquid–liquid phase separation

[39]

RNAPhaSep

http://www.rnaphasep.cn/#/Home

A resource of RNAs undergoing phase separation

[40]

RNA granule database

http://rnagranuledb.lunenfeld.ca/

A database containing RNA granules

[41]

Integreation of LLPS related diseases

DisPhaseDB

http://disphasedb.leloir.org.ar

An integrative database of diseases related variations in liquid–liquid phase separation proteins

[42]

Prediction of specific structures or features of LLPS

IUPred2A

https://iupred2a.elte.hu/

Combination of the iupred database and the ANCHOR database, which can predict the disordered and disordered binding regions of proteins

[43]

PONDR

http://www.pondr.com

Predictor of natural disordered regions

[44]

MobiDB

https://mobidb.org

Provides information about intrinsically disordered regions and related features

[45]

CIDER

http://pappulab.wustl.edu/CIDER/

Calculation of many different parameters associated with disordered protein sequences

[46]

ZipperDB

https://services.mbi.ucla.edu/zipperdb/

Predictions of fibril-forming segments within protein

[47]

Metadisorder

http://iimcb.genesilico.pl/metadisorder/

Prediction of protein disorder

[48]

DisMeta

https://montelionelab.chem.rpi.edu/dismeta/

Prediction of protein disorder

[49]

Expasy

https://web.expasy.org/compute_pi/

Computation of the theoretical pI (isoelectric point) and Mw (molecular weight)

[50]

AMYCO

http://bioinf.uab.es/amycov04/

Evaluation of mutation impact on prion-like proteins aggregation propensity

[51]

MFDp2

http://biomine.ece.ualberta.ca/MFDp2/

Accurate sequence-based prediction of protein disorder which also outputs well-described sequence-derived information that allows profiling the predicted disorder

[52]