{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["18(7)"],"submitter":["Trisciuzzi D"],"pubmed_abstract":["<b>Background/Objectives:</b> Studying protein-protein interaction (PPI) networks is crucial in understanding cancer phenotypes and molecular mechanisms. Here, we focus on PPIs involved in 12 different types of cancer (oncoPPIs), highlighting those protein pockets serving as outposts to modulate protein functioning. <b>Methods:</b> To explore these cavities linked to the cancer phenotype changes, we built a comprehensive pocketome of 314 crystallographically solved oncoPPIs. Based on this experimental data, we identified and investigated all ligandable protein pockets by employing 3D geometric and energetic descriptors. These pockets were classified as suitable for designing new oncoPPI modulators or PROTACs. The ligand-bound crystallographic pockets were analyzed to compare their properti"],"journal":["Pharmaceuticals (Basel, Switzerland)"],"pagination":["958"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12298929"],"repository":["biostudies-literature"],"pubmed_title":["Target Mapping in Cancer: Ligandable Protein Pockets on 3D OncoPPI Networks."],"pmcid":["PMC12298929"],"pubmed_authors":["Siragusa L","Nicolotti O","Menna G","Cruciani G","Trisciuzzi D"],"additional_accession":[]},"is_claimable":false,"name":"Target Mapping in Cancer: Ligandable Protein Pockets on 3D OncoPPI Networks.","description":"<b>Background/Objectives:</b> Studying protein-protein interaction (PPI) networks is crucial in understanding cancer phenotypes and molecular mechanisms. Here, we focus on PPIs involved in 12 different types of cancer (oncoPPIs), highlighting those protein pockets serving as outposts to modulate protein functioning. <b>Methods:</b> To explore these cavities linked to the cancer phenotype changes, we built a comprehensive pocketome of 314 crystallographically solved oncoPPIs. Based on this experimental data, we identified and investigated all ligandable protein pockets by employing 3D geometric and energetic descriptors. These pockets were classified as suitable for designing new oncoPPI modulators or PROTACs. The ligand-bound crystallographic pockets were analyzed to compare their properti","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jun","modification":"2025-08-14T03:05:30.895Z","creation":"2025-08-14T03:05:30.895Z"},"accession":"S-EPMC12298929","cross_references":{"pubmed":["40732248"],"doi":["10.3390/ph18070958"]}}