Molecular clock

Molecular clock detects and quantifies violations of the molecular clock hypothesis in protein sequence and structural evolution to assess rate heterogeneity across protein superfamilies.


Key Features:

  • Statistical Testing: Implements a novel statistical test named Significant Clock Violations (SCV) to evaluate deviations from constant substitution rates.
  • Dual Analysis Capability: Assesses clock violations in both protein sequences and protein structures for comparative evaluation of evolutionary dynamics.
  • Large-scale Assessment: Performs analyses across three extensive protein superfamilies to provide broad and generalizable results.
  • Validation through Simulations: Validates the method using computer simulations prior to application to empirical data.

Scientific Applications:

  • Comparative Evolutionary Analysis: Examines differences between sequence and structural evolution to infer how evolutionary pressures act at distinct molecular levels.
  • Functional Change Correlation: Identifies associations between functional annotations (Gene Ontology and InterPro terms) and significant clock violations in structure evolution.
  • Detection of Positive Selection: Highlights cases where accelerated evolution is more evident in structural data than in sequence data, indicating potential positive selection.

Methodology:

Applies the Significant Clock Violations (SCV) statistical test to compare evolutionary rates between protein sequences and structures across three superfamilies and validates findings using computer simulations.

Topics

Details

License:
MIT
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C++, C
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Pascual-García A, Arenas M, Bastolla U. The Molecular Clock in the Evolution of Protein Structures. Systematic Biology. 2019;68(6):987-1002. doi:10.1093/sysbio/syz022. PMID:31111152.

PMID: 31111152
Funding: - Spanish Ministry of Science: BFU2012-40020, BIO2016-79043-P - Spanish Government: RYC-2015-18241 - Xunta de Galiciaž: ED431F 2018/08 - Simons Foundation: 542381

Documentation

Links