PhaSepDB: a database of liquid–liquid phase separation related proteins

Author:

You Kaiqiang1ORCID,Huang Qi1,Yu Chunyu1,Shen Boyan1,Sevilla Cristoffer2,Shi Minglei3,Hermjakob Henning24ORCID,Chen Yang3,Li Tingting1ORCID

Affiliation:

1. Department of Biomedical Informatics, Peking University Health Science Center, Beijing 100191, China

2. European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK

3. MOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic & Systems Biology, BNRist, Department of Automation, Tsinghua University, Beijing 100084, China

4. State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Life Omics, Beijing 102206, China

Abstract

Abstract It's widely appreciated that liquid–liquid phase separation (LLPS) underlies the formation of membraneless organelles, which function to concentrate proteins and nucleic acids. In the past few decades, major efforts have been devoted to identify the phase separation associated proteins and elucidate their functions. To better utilize the knowledge dispersed in published literature, we developed PhaSepDB (http://db.phasep.pro/), a manually curated database of phase separation associated proteins. Currently, PhaSepDB includes 2914 non-redundant proteins localized in different organelles curated from published literature and database. PhaSepDB provides protein summary, publication reference and sequence features of phase separation associated proteins. The sequence features which reflect the LLPS behavior are also available for other human protein candidates. The online database provides a convenient interface for the research community to easily browse, search and download phase separation associated proteins. As a centralized resource, we believe PhaSepDB will facilitate the future study of phase separation.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

European Bioinformatics Institute

Publisher

Oxford University Press (OUP)

Subject

Genetics

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