Papers › BEER: Biochemical Estimator and Explorer of Residues -- A Comprehensive Software Suite...

BEER: Biochemical Estimator and Explorer of Residues -- A Comprehensive Software Suite for Protein Sequence Analysis

29 Apr 2025arXiv:2504.20561archive 2025-07-28

Saumyak Mukherjee

Protein sequence analysis underpins research in biophysics, computational biology, and bioinformatics. We introduce BEER, a crossplatform graphical interface that accepts FASTA or Protein Data Bank (PDB) files, or manual sequence entry, and instantly computes a suite of physicochemical metrics, such as amino acid composition, Kyte Doolittle hydrophobicity profiles, net charge versus pH curves with automatic isoelectric point determination, solubility predictions, and key indices such as molecular weight, extinction coefficient, GRAVY (grand average of hydropathicity) score, instability index, and aromaticity. BEER's interactive visualizations, including bar and pie charts, hydropathy plots, residue level bead models, and radar diagrams make it easy to explore physicochemical properties of protein chains. A multichain module also enables direct comparison of complex assemblies. Built in Python with BioPython, PyQt5, and matplotlib, BEER delivers complete analyses of sequences up to 10000 residues in under one second.

PaperPDFCode

Code

chemgame/BEER officialmentioned in papermentioned on GitHub report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Results from the paper archive 2025-07-28

No leaderboard rows for this paper in the archive.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections