{"record":{"author":{"account_ref":null,"orcid":null},"builds_on":[],"content_schema":"pubphys.content.revision/1","content_sha256":"523832858351f13e1f368758f78aeb013f0d14f2dc2f3bb2e46001640cebf1b4","created":"2026-10-03T07:17:57Z","files":[],"origin":{"assisted_by":[],"kind":"seed"},"parents":["5475cf5dc5b1a72283d26dc95dc6e00d7ea4e00096a7c6492e409a1816eeb011"],"salt":"ca7fdd8e44106eacf8b76965e986e2cb6bef7afa2d28d4e5a44971541a18b68e","schema":"pubphys.record/2","site":"pubphys.com","target":null,"type":"revision"},"content":{"answer_type":"value","assisted_by":[],"external_id":"bio.condensates.sequence-to-phase","kind":"well-posed","literature_status":"partially-resolved","n":"1","parents":[],"plain":"A disordered protein's amino-acid sequence decides at what concentration it forms droplets. A method that predicts this concentration from sequence, across salt and temperature, would connect sequence to physics directly.","posed_since":"","precise":"For intrinsically disordered regions of 50 to 500 residues, predict the saturation concentration $c_{\\mathrm{sat}}(T,\\mathrm{salt})$ and the dense-phase concentration from sequence alone, within a factor of 2 for $c_{\\mathrm{sat}}$, across sequence variants with altered aromatic and charge patterning (stickers-and-spacers framework). Answer: a model validated on blind variants and on two-component mixtures.","problem_ref":null,"references":"","settled_by":"Blind predictions of $c_{\\mathrm{sat}}$ for newly designed sequence variants compared with measured phase diagrams.","status_note":"Residue-level coarse-grained models reproduce $c_{\\mathrm{sat}}$ trends within families of disordered regions; accuracy for arbitrary sequences and mixtures is not established as of 2026, to this survey's knowledge.","title":"Predict condensate phase diagrams from protein sequence","topic_ref":"543417a9e932d4539361d9de3ab0b3df002be16d6b1f7e3413f005ca5af8568d"},"attested":{"attestation":{"batch":null,"client_id":null,"id_token_sha256":null,"kind":"platform"},"record_hash":"f72fc60d8bbb7e3c3f5a2ee8c01ab746945949e7d2107da2ecec503855a7b161","schema":"pubphys.attested/1"},"envelope":{"attested_hash":"5b7baa2800ccc20e9ddc55e00b838eea15c70ab2a13ad413c89e07a0270bb05e","platform_signature":{"key_id":"c6afc19b31429869751f06879c75cd64ea92654423d15b44be775bf1310a60da","sig":"jVK_I6BHZM1S0Y1tRbx4bzbu9VcIBEb4fD1VR_301A6Wyq5SYJGEQo4JFNYN9a_qVoFicDRVYPeuDGLnmsB2Bw"},"schema":"pubphys.envelope/1"},"record_hash":"f72fc60d8bbb7e3c3f5a2ee8c01ab746945949e7d2107da2ecec503855a7b161","leaf_index":752}