{"record":{"author":{"account_ref":null,"orcid":null},"builds_on":[],"content_schema":"pubphys.content.topic/1","content_sha256":"528fbc02c395608bbf3ac990681d59dae1b87d0a177468ec3ab558f26f98280a","created":"2026-10-03T07:17:50Z","files":[],"origin":{"assisted_by":[],"kind":"seed"},"parents":[],"salt":"3bb3b5dfb650e0c2d5451a4a73c6a6e6644db8ac73ac42e4ef563b9c034db810","schema":"pubphys.record/2","site":"pubphys.com","target":null,"type":"topic"},"content":{"external_id":"bio.fitness-landscapes","field":"bio","n":"1","review_cite":"J. Arjan G. M. de Visser, Joachim Krug, Empirical fitness landscapes and the predictability of evolution, Nature Reviews Genetics, 2014","review_link":"https://doi.org/10.1038/nrg3744","review_verified":"true","summary":"Evolution can be pictured as a population moving uphill on a surface whose position is the genome and whose height is reproductive success. The shape of this surface decides whether evolution is predictable, and physicists study it with tools from disordered systems.","title":"Evolution as a physical process on fitness landscapes","topic_ref":null,"why":"Predicting evolution matters for antibiotic and drug resistance, viral escape from vaccines, and cancer."},"attested":{"attestation":{"batch":null,"client_id":null,"id_token_sha256":null,"kind":"platform"},"record_hash":"d9679f27d8e24851339481c38577825fa8afb7298403d565282e3b7505aed4ee","schema":"pubphys.attested/1"},"envelope":{"attested_hash":"eb0f19193b91d1ea8ca0263bcfaf805fb5807c0d19038e1c427a96f7cd7e24e8","platform_signature":{"key_id":"c6afc19b31429869751f06879c75cd64ea92654423d15b44be775bf1310a60da","sig":"Qmz3pJ7auGGiXIsCFRbmTk82q6crOYvNY2o4MN9pOLwFXai-z1yXtcedRNFOYADh8OKEC8z_DH28Y2FiABs1Dw"},"schema":"pubphys.envelope/1"},"record_hash":"d9679f27d8e24851339481c38577825fa8afb7298403d565282e3b7505aed4ee","leaf_index":89}