BIAPSS
BioInformatic Analysis of LLPS SequencesA.E. Badaczewska-Dawid, V.N. Uversky, D.A. Potoyan, 2021.
Liquid-liquid phase separation of partially or fully disordered proteins has recently emerged as the critical mechanism underlying cellular order and regulation in biology. A significant knowledge gap, however, remains before we can unlock the sequence "codes" of phase-separation, thereby paving the way for the design of new medically and synthetically relevant phase separating sequences. To address this concern, we are compiling a centralized repository of sequence-based analysis for LLPS proteins to learn about the biophysics of protein phase-separation in a data-driven way.
BIAPSS is a comprehensive web platform for interactive statistical analysis of liquid-liquid phase-separated
biological systems deposited in PhaSePro and LLPSDB databases. The comparison and consensus of a plethora of proven bioinformatic tools provides a
thorough and up to date description of various properties of proteins based on their amino acid sequence.
The results of the analysis can be visualized
and downloaded both as publication-quality images as well as raw data for further analysis. We believe that the open access and open-source nature of
our database will facilitate the work of other researchers and accelerate further progress towards uncovering the molecular basis of LLPS phenomena.
Analyze individual protein sequence characteristics for inferring phase-separating affinities and for identifying "sticky" fragments.
Get a broad overview of comparative biophysical statistics for experimentally evidenced phase separating protein sequences.
Use the standardized data sets within your LLPS-related research, e.g. design the experimental sequence modifications or perform computer simulations.
The PotoyanGroup
@ Iowa State University
is an interdisciplinary computational group working towards uncovering principles of the biomolecular organization at mesoscopic cellular scales by using statistical mechanics, bioinformatics, simulations, and machine learning techniques.
The BIAPSS is an open-source database, pre-computed data repository, and set of analytical apps powered by the Plotly-dash interactive framework, developed by Dr. Aleksandra Badaczewska.
For questions, see the FAQ section or feel free to start the thread in the discussion.
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