{"_buckets": {"deposit": "3a52bb6e-d049-4537-929b-c97a0b1dd0d4"}, "_deposit": {"id": "26981", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "26981"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00026981"}, "item_10_alternative_title_19": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u8a00\u8a9e\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "Energy Minimization of Protein Tertiary Structure by Parallel Simulated Annealing Using Genetic Crossover"}]}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2003-08", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "SIG11(ACS3)", "bibliographicPageEnd": "285", "bibliographicPageStart": "277", "bibliographicVolumeNumber": "44", "bibliographic_titles": [{"bibliographic_title": "\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8c\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08ACS\uff09"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "\u3053\u308c\u307e\u3067\u306e\u7814\u7a76\u3067\uff0c\u907a\u4f1d\u7684\u4ea4\u53c9\u3092\u7528\u3044\u305f\u4e26\u5217\u30b7\u30df\u30e5\u30ec\u30fc\u30c6\u30c3\u30c9\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\uff08PSA/GAc\uff09\u304c\u5c0f\u898f\u6a21\u306a\u30bf\u30f3\u30d1\u30af\u8cea\u3067\u3042\u308bMet-enkephalin\u306e\u7acb\u4f53\u69cb\u9020\u30a8\u30cd\u30eb\u30ae\u30fc\u6700\u5c0f\u5316\u306b\u304a\u3044\u3066\u9ad8\u3044\u89e3\u63a2\u7d22\u80fd\u529b\u3092\u793a\u3059\u3053\u3068\u304c\u660e\u3089\u304b\u306b\u306a\u3063\u3066\u3044\u308b\uff0ePSA/GAc\u306f\uff0c\u4e26\u5217\u306b\u5b9f\u884c\u3057\u3066\u3044\u308b\u30b7\u30df\u30e5\u30ec\u30fc\u30c6\u30c3\u30c9\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u9593\u3067\uff0c\u4e00\u5b9a\u9593\u9694\u306e\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u3054\u3068\u306b\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u30aa\u30da\u30ec\u30fc\u30bf\u3067\u3042\u308b\u907a\u4f1d\u7684\u4ea4\u53c9\u3092\u7528\u3044\u3066\u60c5\u5831\u4ea4\u63db\u3092\u884c\u3046\u6700\u9069\u5316\u624b\u6cd5\u3067\u3042\u308b\uff0e\u672c\u7a3f\u3067\u306f\uff0cPSA/GAc\u3092Met-enkephalin\u3088\u308a\u3082\u5927\u898f\u6a21\u306a\u30bf\u30f3\u30d1\u30af\u8cea\u3067\u3042\u308bC-peptide\u3068PTH\uff081-34\uff09\u306e\u7acb\u4f53\u69cb\u9020\u30a8\u30cd\u30eb\u30ae\u30fc\u6700\u5c0f\u5316\u306b\u9069\u7528\u3057\uff0c\u305d\u306e\u63a2\u7d22\u6027\u80fd\u306b\u3064\u3044\u3066\u691c\u8a0e\u3059\u308b\uff0e\u307e\u305f\uff0cPSA/GAc\u306e\u6301\u3064\u3044\u304f\u3064\u304b\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u3046\u3061\uff0c\u7279\u306b\u63a2\u7d22\u6027\u80fd\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u3066\u3044\u308b\u3068\u8003\u3048\u3089\u308c\u308b\u4ea4\u53c9\u9593\u9694\uff0c\u500b\u4f53\u6570\uff0c\u304a\u3088\u3073\u7dcf\u30b9\u30c6\u30c3\u30d7\u6570\u306b\u3064\u3044\u3066\uff0c\u3044\u304f\u3064\u304b\u306e\u5024\u3092\u9069\u7528\u3057\u305f\u6570\u5024\u5b9f\u9a13\u3092\u884c\u3044\uff0c\u305d\u306e\u7d50\u679c\u3092\u691c\u8a0e\u3057\uff0c\u8003\u5bdf\u3092\u884c\u3063\u305f\uff0e\u305d\u306e\u7d50\u679c\uff0c\u72ec\u7acb\u578b\u4e26\u5217SA\uff08PSA\uff09\u3068\u6bd4\u8f03\u3057\u3066PSA/GAc\u306f\u5bfe\u8c61\u30bf\u30f3\u30d1\u30af\u8cea\u306b\u5bfe\u3057\u3066\u9ad8\u3044\u63a2\u7d22\u6027\u80fd\u3092\u793a\u3057\u305f\uff0e\u307e\u305f\uff0c\u672c\u7a3f\u306b\u304a\u3044\u3066\u7528\u3044\u305f\u30d1\u30e9\u30e1\u30fc\u30bf\u3067\u306f\uff0c\u4ea4\u53c9\u3092\u884c\u3046\u983b\u5ea6\u304c\u9ad8\u3044\u307b\u3069\uff0c\u7dcf\u30b9\u30c6\u30c3\u30d7\u6570\u306f\u9577\u3044\u307b\u3069\uff0c\u3088\u308a\u9ad8\u3044\u7cbe\u5ea6\u306e\u7acb\u4f53\u69cb\u9020\u304c\u5f97\u3089\u308c\u305f\uff0e\u3053\u306e\u3053\u3068\u3088\u308a\uff0cPSA/GAc\u306f\u5927\u898f\u6a21\u306a\u30bf\u30f3\u30d1\u30af\u8cea\u306e\u30a8\u30cd\u30eb\u30ae\u30fc\u6700\u5c0f\u5316\u306b\u3082\u6709\u52b9\u3067\u3042\u308b\u3053\u3068\u304c\u660e\u3089\u304b\u3068\u306a\u3063\u305f\uff0eFrom our recent research, it has been clari \ufb01ed that Parallel Simulated Annealing using Genetic Crossover (PSA/GAc) has a high searching ability on a minimization of an energy of small protein called Met-enkephalin. PSA/GAc performs genetic crossover, one of the operations of Genetic Algorithm (GA), among the Parallel SAs (PSAs) to exchange their informations. In this paper, PSA/GAc is applied to the minimization of the energy of C-peptide and Parathyroid Hormone Fragment (1-34). Also, among the parameters of PSA/GAc, crossover interval and total number of searching steps, which are supposed to have the high influences on the searching ability, are modified to some values in order to examine and study their influences. The result shows that PSA/GAc provides lower energy of the target proteins than Parallel SA. Furthermore, among the parameters used in this article, higher frequency of crossover and longer searching steps are con \ufb01rmed to derive the lower energies. 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