bgafun

bgafun identifies specificity-determining residues (SDRs) within protein families to pinpoint amino acids that determine functional specificity and evolutionary divergence.


Key Features:

  • Between Group Analysis (BGA): Employs Between Group Analysis to compare sequences from different functional groups and identify residues that vary significantly between those groups.
  • Interoperability with Bioconductor: Integrates with the Bioconductor project and the R programming environment to leverage existing genomic and statistical packages.
  • Statistical methods in R: Implements statistical analyses through Bioconductor packages in R to detect specificity-determining signals in sequence data.

Scientific Applications:

  • Protein Function Analysis: Identifies SDRs to elucidate amino acids that contribute to specific protein functions within families.
  • Evolutionary Studies: Detects residue differences between functional groups to inform analyses of diversification and adaptive evolution in protein families.
  • Drug Design and Development: Pinpoints residues that underlie target-specific interactions relevant to rational drug design and therapeutic targeting.

Methodology:

Applies Between Group Analysis (BGA) and related statistical methods implemented in R via Bioconductor packages to compare sequence groups and identify SDRs.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
11/25/2024

Operations

Publications

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.

Documentation

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