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Atlas of predicted protein complex structures across kingdoms.

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This study presents a large atlas of 1.1 million predicted protein-protein interaction structures across diverse species. The resource reveals conserved complex architectures and aids in understanding biological functions and evolution.

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Area of Science:

  • Structural Biology
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Protein complexes are crucial for biological processes.
  • Existing protein-protein interaction (PPI) data lacks comprehensive structural characterization across species.
  • This gap hinders understanding of molecular mechanisms and evolutionary relationships.

Purpose of the Study:

  • To create a large-scale, cross-kingdom atlas of predicted protein-protein interaction structures.
  • To identify conserved structural motifs and evolutionary events.
  • To provide a resource for enhancing downstream applications like protein binding prediction.

Main Methods:

  • Utilized the AlphaFold2-based ColabFold framework for structure prediction.
  • Generated a dataset of 1.1 million predicted protein-protein interaction structures.
  • Performed structural clustering and comparative analyses with existing databases.

Main Results:

  • Identified 181,671 high-confidence protein complex structures, including 37,855 in the human interactome.
  • Discovered conserved protein complex architectures shared across bacteria, archaea, humans, mice, and plants.
  • Uncovered widespread gene fusion and fission events during evolution and identified potential viral receptors.

Conclusions:

  • The comprehensive atlas provides an extensive cross-kingdom resource for structural biology and bioinformatics.
  • The findings offer insights into conserved biological functions and evolutionary processes.
  • The dataset serves as a valuable tool for advancing protein binding prediction and biomedical research.