{"id":10487,"date":"2026-07-18T20:09:28","date_gmt":"2026-07-18T17:09:28","guid":{"rendered":"https:\/\/www.ortaakarsu.net\/?post_type=product&#038;p=10487"},"modified":"2026-07-18T20:09:29","modified_gmt":"2026-07-18T17:09:29","slug":"boltz-2-ile-yapay-zekaya-dayali-molekuler-docking-e-kitap","status":"publish","type":"product","link":"https:\/\/www.ortaakarsu.net\/?product=boltz-2-ile-yapay-zekaya-dayali-molekuler-docking-e-kitap","title":{"rendered":"Boltz-2 ile Yapay Zekaya Dayal\u0131 Molek\u00fcler Docking E-Kitap"},"content":{"rendered":"<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"337\" data-end=\"587\"><strong data-start=\"337\" data-end=\"388\">Molek\u00fcler Docking: Yapay Zek\u00e2 Rehberi \u2014 B\u00f6l\u00fcm 4<\/strong>, yapay zek\u00e2 destekli docking ve protein-ligand kompleks tahminini bilimsel olarak denetlenebilir bir i\u015f ak\u0131\u015f\u0131na d\u00f6n\u00fc\u015ft\u00fcrmek isteyen ara\u015ft\u0131rmac\u0131lar i\u00e7in haz\u0131rlanm\u0131\u015f 64 sayfal\u0131k uygulamal\u0131 e-kitapt\u0131r.<\/p>\n<p data-start=\"589\" data-end=\"997\">Bu rehber, yaln\u0131zca bir modeli \u00e7al\u0131\u015ft\u0131rmaya de\u011fil; modelin neyi tahmin etti\u011fini, e\u011fitim verisinin hangi s\u0131n\u0131rlar\u0131 getirdi\u011fini ve AI \u00e7\u0131kt\u0131s\u0131n\u0131n hangi fiziksel veya deneysel kontrollerden ge\u00e7mesi gerekti\u011fini anlamaya odaklan\u0131r. Poz, kompleks yap\u0131s\u0131 ve afinite tahmininin ayn\u0131 \u00e7\u0131kt\u0131 olmad\u0131\u011f\u0131n\u0131; y\u00fcksek g\u00fcven veya skorun tek ba\u015f\u0131na deneysel IC50, Kd ya da mekanizma kan\u0131t\u0131 say\u0131lamayaca\u011f\u0131n\u0131 a\u00e7\u0131k bi\u00e7imde ele al\u0131r.<\/p>\n<p data-start=\"999\" data-end=\"1030\">E-kitapta \u015funlar\u0131 \u00f6\u011frenirsiniz:<\/p>\n<ul data-start=\"1032\" data-end=\"1952\">\n<li data-section-id=\"rlpmjy\" data-start=\"1032\" data-end=\"1130\">Klasik docking, CNN yeniden puanlama, dif\u00fczyon ve birlikte kompleks tahmini aras\u0131ndaki farklar<\/li>\n<li data-section-id=\"ph7ul4\" data-start=\"1131\" data-end=\"1221\">Protein-ligand kompleks tahmininde poz, yap\u0131 ve afinite \u00e7\u0131kt\u0131lar\u0131n\u0131n ayr\u0131 yorumlanmas\u0131<\/li>\n<li data-section-id=\"1hzvwb6\" data-start=\"1222\" data-end=\"1310\">PDB, BindingDB, ChEMBL ve proje verilerinin yap\u0131sal\/deneysel ba\u011flamla e\u015fle\u015ftirilmesi<\/li>\n<li data-section-id=\"1y9nho9\" data-start=\"1311\" data-end=\"1410\">Ki, Kd, IC50, EC50 gibi etiketlerin standardizasyonu; veri temizli\u011fi ve ba\u011f\u0131ms\u0131z test b\u00f6lmeleri<\/li>\n<li data-section-id=\"rsoawk\" data-start=\"1411\" data-end=\"1485\">Stereokimya, protonasyon, tautomer, formal y\u00fck ve 3B geometri denetimi<\/li>\n<li data-section-id=\"12962lh\" data-start=\"1486\" data-end=\"1575\">Model kalibrasyonu, g\u00fcven skorlar\u0131, negatif kontroller ve ba\u015far\u0131s\u0131z \u00f6rneklerin de\u011feri<\/li>\n<li data-section-id=\"1g6wd6v\" data-start=\"1576\" data-end=\"1669\">Boltz-2 i\u00e7in protein, ligand, MSA, SMILES\/CCD ve k\u0131s\u0131t girdilerinin YAML ile haz\u0131rlanmas\u0131<\/li>\n<li data-section-id=\"1kdljpe\" data-start=\"1670\" data-end=\"1753\">GPU, CUDA ve \u00f6zellikle VRAM\u2019in i\u015f y\u00fck\u00fc, MSA derinli\u011fi ve sistem boyutuna etkisi<\/li>\n<li data-section-id=\"9ftz6o\" data-start=\"1754\" data-end=\"1862\">Boltz-2 tahminlerinin fiziksel kalite kontrol\u00fc, klasik docking, MD ve deneysel testlerle birle\u015ftirilmesi<\/li>\n<li data-section-id=\"1epvjf\" data-start=\"1863\" data-end=\"1952\">Tahminden in vitro do\u011frulamaya giden izlenebilir ve tekrar \u00fcretilebilir karar zinciri<\/li>\n<\/ul>\n<p data-start=\"1954\" data-end=\"2246\">Rehber, Boltz-2 \u00e7\u0131kt\u0131lar\u0131n\u0131n ko\u015fullu tahminler oldu\u011funu vurgular: <code data-start=\"2020\" data-end=\"2032\">confidence<\/code> veya <code data-start=\"2038\" data-end=\"2048\">affinity<\/code> de\u011feri, deneysel etkinli\u011fin do\u011frudan e\u015fde\u011feri de\u011fildir. En g\u00fc\u00e7l\u00fc kullan\u0131m, yapay zek\u00e2y\u0131 kimyasal haz\u0131rl\u0131k, fiziksel denetim, alternatif model senaryolar\u0131 ve deney tasar\u0131m\u0131yla birlikte ele almakt\u0131r.<\/p>\n<p data-start=\"1954\" data-end=\"2246\"><img decoding=\"async\" class=\"alignnone size-large wp-image-10489\" src=\"https:\/\/www.ortaakarsu.net\/wp-content\/uploads\/ChatGPT-Image-18-Tem-2026-20_09_36-819x1024.png\" alt=\"\" width=\"819\" height=\"1024\" srcset=\"https:\/\/www.ortaakarsu.net\/wp-content\/uploads\/ChatGPT-Image-18-Tem-2026-20_09_36-200x250.png 200w, https:\/\/www.ortaakarsu.net\/wp-content\/uploads\/ChatGPT-Image-18-Tem-2026-20_09_36-240x300.png 240w, https:\/\/www.ortaakarsu.net\/wp-content\/uploads\/ChatGPT-Image-18-Tem-2026-20_09_36-400x500.png 400w, https:\/\/www.ortaakarsu.net\/wp-content\/uploads\/ChatGPT-Image-18-Tem-2026-20_09_36-500x625.png 500w, https:\/\/www.ortaakarsu.net\/wp-content\/uploads\/ChatGPT-Image-18-Tem-2026-20_09_36-600x750.png 600w, https:\/\/www.ortaakarsu.net\/wp-content\/uploads\/ChatGPT-Image-18-Tem-2026-20_09_36-700x875.png 700w, https:\/\/www.ortaakarsu.net\/wp-content\/uploads\/ChatGPT-Image-18-Tem-2026-20_09_36-768x960.png 768w, https:\/\/www.ortaakarsu.net\/wp-content\/uploads\/ChatGPT-Image-18-Tem-2026-20_09_36-800x1000.png 800w, https:\/\/www.ortaakarsu.net\/wp-content\/uploads\/ChatGPT-Image-18-Tem-2026-20_09_36-819x1024.png 819w, https:\/\/www.ortaakarsu.net\/wp-content\/uploads\/ChatGPT-Image-18-Tem-2026-20_09_36.png 1122w\" sizes=\"(max-width: 819px) 100vw, 819px\" \/><\/p>\n<p data-start=\"1954\" data-end=\"2246\">\n","protected":false},"excerpt":{"rendered":"<p>Yapay zek\u00e2 ile protein-ligand kompleksi tahminini; Boltz-2 ve YAML girdileri, GPU\u2013VRAM planlamas\u0131, veri\/etiket kalitesi, g\u00fcven skorlar\u0131 ve fiziksel-deneysel do\u011frulama zinciriyle birlikte \u00f6\u011frenin.<\/p>\n","protected":false},"featured_media":10488,"template":"","meta":{"_acf_changed":false},"product_brand":[740],"product_cat":[929],"product_tag":[946,945,931,941,942,932,933,940,930,934,936,935,937,944],"class_list":["post-10487","product","type-product","status-publish","has-post-thumbnail","product_brand-ortaakarsu-net","product_cat-e-kitap","product_tag-boltz","product_tag-boltz-2","product_tag-docking","product_tag-e-kitap","product_tag-egitim","product_tag-hesaplamali-kimya","product_tag-kimya","product_tag-molekuler-dinamik","product_tag-molekuler-docking","product_tag-organik-kimya","product_tag-protein","product_tag-protein-ligand","product_tag-tibbi-kimya","product_tag-yapay-zeka","first","instock","downloadable","taxable","shipping-taxable","purchasable","product-type-simple"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ortaakarsu.net\/index.php?rest_route=\/wp\/v2\/product\/10487","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ortaakarsu.net\/index.php?rest_route=\/wp\/v2\/product"}],"about":[{"href":"https:\/\/www.ortaakarsu.net\/index.php?rest_route=\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ortaakarsu.net\/index.php?rest_route=\/wp\/v2\/media\/10488"}],"wp:attachment":[{"href":"https:\/\/www.ortaakarsu.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10487"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/www.ortaakarsu.net\/index.php?rest_route=%2Fwp%2Fv2%2Fproduct_brand&post=10487"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/www.ortaakarsu.net\/index.php?rest_route=%2Fwp%2Fv2%2Fproduct_cat&post=10487"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/www.ortaakarsu.net\/index.php?rest_route=%2Fwp%2Fv2%2Fproduct_tag&post=10487"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}