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LLPSDB v2.0: an updated database of proteins undergoing liquid–liquid phase separation in vitro
SUMMARY: Emerging evidences have suggested that liquid–liquid phase separation (LLPS) of proteins plays a vital role both in a wide range of biological processes and in related diseases. Whether a protein undergoes phase separation not only is determined by the chemical and physical properties of bi...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963276/ https://www.ncbi.nlm.nih.gov/pubmed/35025997 http://dx.doi.org/10.1093/bioinformatics/btac026 |
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author | Wang, Xi Zhou, Xiang Yan, Qinglin Liao, Shaofeng Tang, Wenqin Xu, Peiyu Gao, Yangzhenyu Li, Qian Dou, Zhihui Yang, Weishan Huang, Beifang Li, Jinhong Zhang, Zhuqing |
author_facet | Wang, Xi Zhou, Xiang Yan, Qinglin Liao, Shaofeng Tang, Wenqin Xu, Peiyu Gao, Yangzhenyu Li, Qian Dou, Zhihui Yang, Weishan Huang, Beifang Li, Jinhong Zhang, Zhuqing |
author_sort | Wang, Xi |
collection | PubMed |
description | SUMMARY: Emerging evidences have suggested that liquid–liquid phase separation (LLPS) of proteins plays a vital role both in a wide range of biological processes and in related diseases. Whether a protein undergoes phase separation not only is determined by the chemical and physical properties of biomolecule themselves, but also is regulated by environmental conditions such as temperature, ionic strength, pH, as well as volume excluded by other macromolecules. A web accessible database LLPSDB was developed recently by our group, in which all the proteins involved in LLPS in vitro as well as corresponding experimental conditions were curated comprehensively from published literatures. With the rapid increase of investigations in biomolecular LLPS and growing popularity of LLPSDB, we updated the database, and developed a new version LLPSDB v2.0. In comparison of the previously released version, more than double contents of data are curated, and a new class ‘Ambiguous system’ is added. In addition, the web interface is improved, such as that users can search the database by selecting option ‘phase separation status’ alone or combined with other options. We anticipate that this updated database will serve as a more comprehensive and helpful resource for users. AVAILABILITY AND IMPLEMENTATION: LLPSDB v2.0 is freely available at: http://bio-comp.org.cn/llpsdbv2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-8963276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89632762022-03-29 LLPSDB v2.0: an updated database of proteins undergoing liquid–liquid phase separation in vitro Wang, Xi Zhou, Xiang Yan, Qinglin Liao, Shaofeng Tang, Wenqin Xu, Peiyu Gao, Yangzhenyu Li, Qian Dou, Zhihui Yang, Weishan Huang, Beifang Li, Jinhong Zhang, Zhuqing Bioinformatics Original Papers SUMMARY: Emerging evidences have suggested that liquid–liquid phase separation (LLPS) of proteins plays a vital role both in a wide range of biological processes and in related diseases. Whether a protein undergoes phase separation not only is determined by the chemical and physical properties of biomolecule themselves, but also is regulated by environmental conditions such as temperature, ionic strength, pH, as well as volume excluded by other macromolecules. A web accessible database LLPSDB was developed recently by our group, in which all the proteins involved in LLPS in vitro as well as corresponding experimental conditions were curated comprehensively from published literatures. With the rapid increase of investigations in biomolecular LLPS and growing popularity of LLPSDB, we updated the database, and developed a new version LLPSDB v2.0. In comparison of the previously released version, more than double contents of data are curated, and a new class ‘Ambiguous system’ is added. In addition, the web interface is improved, such as that users can search the database by selecting option ‘phase separation status’ alone or combined with other options. We anticipate that this updated database will serve as a more comprehensive and helpful resource for users. AVAILABILITY AND IMPLEMENTATION: LLPSDB v2.0 is freely available at: http://bio-comp.org.cn/llpsdbv2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-01-13 /pmc/articles/PMC8963276/ /pubmed/35025997 http://dx.doi.org/10.1093/bioinformatics/btac026 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Wang, Xi Zhou, Xiang Yan, Qinglin Liao, Shaofeng Tang, Wenqin Xu, Peiyu Gao, Yangzhenyu Li, Qian Dou, Zhihui Yang, Weishan Huang, Beifang Li, Jinhong Zhang, Zhuqing LLPSDB v2.0: an updated database of proteins undergoing liquid–liquid phase separation in vitro |
title | LLPSDB v2.0: an updated database of proteins undergoing liquid–liquid phase separation in vitro |
title_full | LLPSDB v2.0: an updated database of proteins undergoing liquid–liquid phase separation in vitro |
title_fullStr | LLPSDB v2.0: an updated database of proteins undergoing liquid–liquid phase separation in vitro |
title_full_unstemmed | LLPSDB v2.0: an updated database of proteins undergoing liquid–liquid phase separation in vitro |
title_short | LLPSDB v2.0: an updated database of proteins undergoing liquid–liquid phase separation in vitro |
title_sort | llpsdb v2.0: an updated database of proteins undergoing liquid–liquid phase separation in vitro |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963276/ https://www.ncbi.nlm.nih.gov/pubmed/35025997 http://dx.doi.org/10.1093/bioinformatics/btac026 |
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