{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:5RVOUEXKJEYDMXMICQQBUCGDC2","short_pith_number":"pith:5RVOUEXK","schema_version":"1.0","canonical_sha256":"ec6aea12ea4930365d8814201a08c3168311e99fa9d5d7df06caceadeacca5a7","source":{"kind":"arxiv","id":"1903.02890","version":1},"attestation_state":"computed","paper":{"title":"Weighted persistent homology for biomolecular data analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.BM","authors_text":"D Vijay Anand, Jie Wu, Kelin Xia, Yunpeng Lu, Zhenyu Meng","submitted_at":"2019-03-07T13:09:33Z","abstract_excerpt":"In this paper, we systematically review weighted persistent homology (WPH) models and their applications in biomolecular data analysis. Essentially, the weight value, which reflects physical, chemical and biological properties, can be assigned to vertices (atom centers), edges (bonds), or higher order simplexes (cluster of atoms), depending on the biomolecular structure, function, and dynamics properties. Further, we propose the first localized weighted persistent homology (LWPH). Inspired by the great success of element specific persistent homology (ESPH), we do not treat biomolecules as an i"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1903.02890","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.BM","submitted_at":"2019-03-07T13:09:33Z","cross_cats_sorted":[],"title_canon_sha256":"a4005f91b76169e130f9e467ddb7e897070d878c80c780532fbf6876bc71282f","abstract_canon_sha256":"e311b6c5f64a73aa4eff033f281b114c96ad64c4ae410fe9d60cb9fac9daee75"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:50.855805Z","signature_b64":"i3hZefo6ZMBspP3nSzl3zOF6uGs2aad2I9h2fP98PUaPVk3LMrdiuDrhc+uUFGio3KUGKTRZxWSJRwPEjrllCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ec6aea12ea4930365d8814201a08c3168311e99fa9d5d7df06caceadeacca5a7","last_reissued_at":"2026-05-17T23:51:50.855200Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:50.855200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Weighted persistent homology for biomolecular data analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.BM","authors_text":"D Vijay Anand, Jie Wu, Kelin Xia, Yunpeng Lu, Zhenyu Meng","submitted_at":"2019-03-07T13:09:33Z","abstract_excerpt":"In this paper, we systematically review weighted persistent homology (WPH) models and their applications in biomolecular data analysis. Essentially, the weight value, which reflects physical, chemical and biological properties, can be assigned to vertices (atom centers), edges (bonds), or higher order simplexes (cluster of atoms), depending on the biomolecular structure, function, and dynamics properties. Further, we propose the first localized weighted persistent homology (LWPH). Inspired by the great success of element specific persistent homology (ESPH), we do not treat biomolecules as an i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.02890","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1903.02890","created_at":"2026-05-17T23:51:50.855329+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.02890v1","created_at":"2026-05-17T23:51:50.855329+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.02890","created_at":"2026-05-17T23:51:50.855329+00:00"},{"alias_kind":"pith_short_12","alias_value":"5RVOUEXKJEYD","created_at":"2026-05-18T12:33:10.108867+00:00"},{"alias_kind":"pith_short_16","alias_value":"5RVOUEXKJEYDMXMI","created_at":"2026-05-18T12:33:10.108867+00:00"},{"alias_kind":"pith_short_8","alias_value":"5RVOUEXK","created_at":"2026-05-18T12:33:10.108867+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"1907.06171","citing_title":"Weighted persistent homology for osmolyte molecular aggregation and hydrogen-bonding network analysis","ref_index":68,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5RVOUEXKJEYDMXMICQQBUCGDC2","json":"https://pith.science/pith/5RVOUEXKJEYDMXMICQQBUCGDC2.json","graph_json":"https://pith.science/api/pith-number/5RVOUEXKJEYDMXMICQQBUCGDC2/graph.json","events_json":"https://pith.science/api/pith-number/5RVOUEXKJEYDMXMICQQBUCGDC2/events.json","paper":"https://pith.science/paper/5RVOUEXK"},"agent_actions":{"view_html":"https://pith.science/pith/5RVOUEXKJEYDMXMICQQBUCGDC2","download_json":"https://pith.science/pith/5RVOUEXKJEYDMXMICQQBUCGDC2.json","view_paper":"https://pith.science/paper/5RVOUEXK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.02890&json=true","fetch_graph":"https://pith.science/api/pith-number/5RVOUEXKJEYDMXMICQQBUCGDC2/graph.json","fetch_events":"https://pith.science/api/pith-number/5RVOUEXKJEYDMXMICQQBUCGDC2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5RVOUEXKJEYDMXMICQQBUCGDC2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5RVOUEXKJEYDMXMICQQBUCGDC2/action/storage_attestation","attest_author":"https://pith.science/pith/5RVOUEXKJEYDMXMICQQBUCGDC2/action/author_attestation","sign_citation":"https://pith.science/pith/5RVOUEXKJEYDMXMICQQBUCGDC2/action/citation_signature","submit_replication":"https://pith.science/pith/5RVOUEXKJEYDMXMICQQBUCGDC2/action/replication_record"}},"created_at":"2026-05-17T23:51:50.855329+00:00","updated_at":"2026-05-17T23:51:50.855329+00:00"}