PCIPG: A comprehensive framework for protein complex identification based on a probabilistic graphical model
Yixiang Huang, Lei Yang, Jiudong Wang, Xinqi Gong · 2026
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Description
Yixiang Huang and co-authors present a framework for finding protein complexes inside cells, in a 2026 paper. Complexes are protein teams that run much of cell life, but spotting them by computer is hard. Older methods lean on network maps of which proteins touch, which are noisy and say little about how the parts grip each other.
Their framework, PCIPG, models four scales at once: residues, proteins, their links, and the complexes. It reads chemical traits along each protein's inner contact map, builds structure-aware profiles, and spreads them over the touch network. The output is a membership map of proteins to complexes, tied back to the sparse link evidence. The design aims at finds that stay sound when data are thin.
Catalog record
| CREATOR | Yixiang Huang, Lei Yang, Jiudong Wang, Xinqi Gong |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 110 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |