{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:MDHLLOXMWFZJVW3L2WMG6TZPCV","short_pith_number":"pith:MDHLLOXM","schema_version":"1.0","canonical_sha256":"60ceb5baecb1729adb6bd5986f4f2f155a5c4a35307a95fddbb4a375482aa6c9","source":{"kind":"arxiv","id":"1808.07475","version":1},"attestation_state":"computed","paper":{"title":"Capsule Networks for Protein Structure Classification and Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.QM","stat.ML"],"primary_cat":"cs.LG","authors_text":"Dan Rosa de Jesus, Julian Cuevas, Silvia Crivelli, Wilson Rivera","submitted_at":"2018-08-22T13:38:19Z","abstract_excerpt":"Capsule Networks have great potential to tackle problems in structural biology because of their attention to hierarchical relationships. This paper describes the implementation and application of a Capsule Network architecture to the classification of RAS protein family structures on GPU-based computational resources. The proposed Capsule Network trained on 2D and 3D structural encodings can successfully classify HRAS and KRAS structures. The Capsule Network can also classify a protein-based dataset derived from a PSI-BLAST search on sequences of KRAS and HRAS mutations. Our results show an ac"},"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":"1808.07475","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-08-22T13:38:19Z","cross_cats_sorted":["q-bio.QM","stat.ML"],"title_canon_sha256":"8ea23eabd8c5fb74f9023879f424a08ec4ab51a330e968e4b85179a4ad54b931","abstract_canon_sha256":"77699e4f47a91f99f4a1ce225db8aea6307cdac5e46abeb1b257d757508bed1d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:36.897260Z","signature_b64":"dm7JYYdsOGjTIb0uloNUXRRj310mk4WRWHUkcijGSOHQt5Ix9cy/5A0KiPhix2otoMfocnwZGv1HkomKjjqICQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60ceb5baecb1729adb6bd5986f4f2f155a5c4a35307a95fddbb4a375482aa6c9","last_reissued_at":"2026-05-18T00:05:36.896880Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:36.896880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Capsule Networks for Protein Structure Classification and Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.QM","stat.ML"],"primary_cat":"cs.LG","authors_text":"Dan Rosa de Jesus, Julian Cuevas, Silvia Crivelli, Wilson Rivera","submitted_at":"2018-08-22T13:38:19Z","abstract_excerpt":"Capsule Networks have great potential to tackle problems in structural biology because of their attention to hierarchical relationships. This paper describes the implementation and application of a Capsule Network architecture to the classification of RAS protein family structures on GPU-based computational resources. The proposed Capsule Network trained on 2D and 3D structural encodings can successfully classify HRAS and KRAS structures. The Capsule Network can also classify a protein-based dataset derived from a PSI-BLAST search on sequences of KRAS and HRAS mutations. Our results show an ac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.07475","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":"1808.07475","created_at":"2026-05-18T00:05:36.896936+00:00"},{"alias_kind":"arxiv_version","alias_value":"1808.07475v1","created_at":"2026-05-18T00:05:36.896936+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.07475","created_at":"2026-05-18T00:05:36.896936+00:00"},{"alias_kind":"pith_short_12","alias_value":"MDHLLOXMWFZJ","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_16","alias_value":"MDHLLOXMWFZJVW3L","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_8","alias_value":"MDHLLOXM","created_at":"2026-05-18T12:32:37.024351+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MDHLLOXMWFZJVW3L2WMG6TZPCV","json":"https://pith.science/pith/MDHLLOXMWFZJVW3L2WMG6TZPCV.json","graph_json":"https://pith.science/api/pith-number/MDHLLOXMWFZJVW3L2WMG6TZPCV/graph.json","events_json":"https://pith.science/api/pith-number/MDHLLOXMWFZJVW3L2WMG6TZPCV/events.json","paper":"https://pith.science/paper/MDHLLOXM"},"agent_actions":{"view_html":"https://pith.science/pith/MDHLLOXMWFZJVW3L2WMG6TZPCV","download_json":"https://pith.science/pith/MDHLLOXMWFZJVW3L2WMG6TZPCV.json","view_paper":"https://pith.science/paper/MDHLLOXM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1808.07475&json=true","fetch_graph":"https://pith.science/api/pith-number/MDHLLOXMWFZJVW3L2WMG6TZPCV/graph.json","fetch_events":"https://pith.science/api/pith-number/MDHLLOXMWFZJVW3L2WMG6TZPCV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MDHLLOXMWFZJVW3L2WMG6TZPCV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MDHLLOXMWFZJVW3L2WMG6TZPCV/action/storage_attestation","attest_author":"https://pith.science/pith/MDHLLOXMWFZJVW3L2WMG6TZPCV/action/author_attestation","sign_citation":"https://pith.science/pith/MDHLLOXMWFZJVW3L2WMG6TZPCV/action/citation_signature","submit_replication":"https://pith.science/pith/MDHLLOXMWFZJVW3L2WMG6TZPCV/action/replication_record"}},"created_at":"2026-05-18T00:05:36.896936+00:00","updated_at":"2026-05-18T00:05:36.896936+00:00"}