COILS

COILS predicts the likelihood that protein sequences adopt coiled-coil conformations by comparing them to a database of known parallel two-stranded coiled-coils.


Key Features:

  • Sequence Comparison: Compares target protein sequences, including flanking residues, to a database of established parallel two-stranded coiled-coils.
  • Similarity Scoring: Computes a similarity score quantifying how closely the target sequence resembles known coiled-coils.
  • Probability Calculation: Evaluates similarity scores against score distributions from globular and coiled-coil proteins to compute the probability of coiled-coil formation.
  • Domain Delineation: Identifies coiled-coil domains within otherwise globular proteins, including leucine zipper motifs in transcriptional regulators.
  • Discontinuity Prediction: Predicts regions of discontinuity within coiled-coil structures, such as hinge regions relevant to proteins like myosin.

Scientific Applications:

  • Structural Biology: Aids interpretation of protein architecture and function by predicting coiled-coil domains and discontinuities.
  • Protein Engineering: Supports design of proteins with specified structural properties by identifying potential coiled-coil regions.
  • Genomic Research: Facilitates large-scale identification of probable coiled-coil proteins (over 200 reported), including alpha- and beta-tubulins, flagellins, G protein beta subunits, bacterial transfer RNA synthetases, and members of the heat shock protein (Hsp70) family.

Methodology:

Compares sequences (including flanking residues) to a database of known parallel two-stranded coiled-coils, computes similarity scores, and evaluates those scores against distributions from globular and coiled-coil proteins to estimate per-residue and per-region coiled-coil probabilities.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
4/21/2017
Last Updated:
11/24/2024

Operations

Publications

Lupas A, Van Dyke M, Stock J. Predicting Coiled Coils from Protein Sequences. Science. 1991;252(5009):1162-1164. doi:10.1126/science.252.5009.1162. PMID:2031185.

Documentation

Links