BAV-LLPS: A database of bacterial, archaea and virus liquid-liquid phase separation proteins
Cecilia B Rodriguez, Ronaldo Romario Tunque CahuiiD, Nicolás DemitroffiD, Layla HirshiD, Damien Paul DevosiD, Graciela Lidia BoccaccioiD, Gustavo D. ParisiiD
Abstract
Liquid-liquid phase separation (LLPS) is a key process underlying the formation of biomolecular condensates (BMCs), such as membrane-less organelles (MLOs), that compartmentalize biochemical processes inside the cells. While LLPS has been extensively studied in eukaryotes, its role in bacteria, archaea, and viruses remains far less characterized. Recent studies in bacteria have revealed that LLPS-driven condensates play critical roles in RNA processing, stress response, and pathogenicity. Similarly, many viruses exploit LLPS to facilitate crucial steps in their infection cycles, including viral entry, genome replication, assembly, and host immune evasion. In this work, we introduce a hand-curated database of LLPS proteins from bacteria, archaea, and viruses (BAV-LLPS Database). This resource, extended through sequence similarity searches, comprises over 5,000 proteins and integrates diverse data including biological annotations, sequence features, predicted disordered regions, LLPS per site probability, and AlphaFold2-based structural models. Additionally, our web server enables users to explore both the curated and homologous derived datasets, providing a platform to uncover evolutionary relationships and intrinsic and differential properties of LLPS proteins across various taxonomic groups. This work seeks to deepen our understanding of LLPS mechanisms beyond eukaryotic organisms, emphasizing their significance across diverse life forms. It also aims to foster the development of specialized predictive tools that will facilitate the exploration and characterization of LLPS processes in a wide array of living organisms, thereby contributing to advancements in both fundamental biological research and applied biomedical sciences. Availability and ImplementationBAV-LLPS DB is freely accessible at https://bav-llps-db.bioinformatica.org/. The data can be retrieved from the website. The source code of the database can be downloaded from https://bav-llps-db.bioinformatica.org/download Contactgusparisi@gmail.com and gboccaccio@leloir.org.ar
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 4
- FWCI
- 1.20
- Field percentile
- top 22%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- BIAPSS - BioInformatic Analysis of liquid-liquid Phase-Separating protein Sequences
Aleksandra Elzbieta Badaczewska-Dawid, Davit A. Potoyan·bioRxiv·Feb 11, 2021
- MLOsMetaDB, a meta-database to centralize the information on Liquid-liquid phase separation proteins and Membraneless organelles.
Fernando Orti, María Laura Fernández, Cristina Marino‐Buslje·Protein SciencePeer-reviewed·Dec 8, 2023
- Prediction of liquid-liquid phase separation proteins using machine learning
Tanlin Sun, Qian Li, … Jianfeng Pei·bioRxiv·Nov 15, 2019
- Regulation of major bacterial survival strategies by transcript sequestration in a membraneless organelle
T. Szoke, N. Albocher, … O. Amster-Choder·bioRxiv·Jan 6, 2022
- Concentration and dosage sensitivity of proteins driving liquid-liquid phase separation
Nazanin Farahi, Tamás Lázár, … Rita Pancsa·International Journal of Molecular SciencesPeer-reviewed·Mar 16, 2021
- DisPhaseDB, an integrative database of diseases related variations in liquid-liquid phase separation proteins
Alvaro M. Navarro, Fernando Orti, … Cristina Marino‐Buslje·Computational and Structural Biotechnology JournalPeer-reviewed·Jan 1, 2022