PPI-Hotspot(DB): Database of Protein-Protein Interaction Hot Spots

JOURNAL OF CHEMICAL INFORMATION AND MODELING(2022)

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摘要
Single-point mutations of certain residues (so-called hot spots) impair/disrupt protein-protein interactions (PPIs), leading to pathogenesis and drug resistance. Conventionally, a PPIhot spot is identified when its replacement decreased the binding free energy significantly, generally by >= 2 kcal/mol. The relatively few mutations with such a significant binding free energy drop limited the number of distinct PPI-hot spots. By defining PPI-hot spots based on mutations that have been manually curated in UniProtKB to significantly impair/disrupt PPIs in addition to binding free energy changes, we have greatly expanded the number of distinct PPI-hot spots by an order of magnitude. These experimentally determined PPI-hot spots along with available structures have been collected in a database called PPI-Hotspot(DB). We have applied the PPI-Hotspot(DB) to create a nonredundant benchmark, PPI-Hotspot+PDBBm, for assessing methods to predict PPI-hot spots using the free structure as input. PPI-Hotspot(DB) will benefit the design of mutagenesis experiments and developm ent of PPI-hot spot prediction methods. The database and benchmark are freely available at https:/ippihotspot. imlab.dnsalias. ore.
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