{"id":10922,"date":"2025-04-03T17:39:05","date_gmt":"2025-04-03T15:39:05","guid":{"rendered":"https:\/\/semmelweis.hu\/bioinformatika\/?p=10922"},"modified":"2025-04-07T14:14:30","modified_gmt":"2025-04-07T12:14:30","slug":"uj-cikk-kerult-elfogadasra-a-briefings-in-bioinformatics-folyoiratban-dr-tusnady-gabor-kozlemenye","status":"publish","type":"post","link":"https:\/\/semmelweis.hu\/bioinformatika\/uj-cikk-kerult-elfogadasra-a-briefings-in-bioinformatics-folyoiratban-dr-tusnady-gabor-kozlemenye\/","title":{"rendered":"Dr. Tusn\u00e1dy G\u00e1bor \u00faj cikke elfogad\u00e1sra ker\u00fclt a Briefings in Bioinformatics foly\u00f3iratban"},"content":{"rendered":"<p style=\"text-align: justify\"><span class=\"TextRun SCXW165971529 BCX0\" lang=\"HU-HU\" xml:lang=\"HU-HU\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW165971529 BCX0\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-10587 alignleft\" src=\"https:\/\/semmelweis.hu\/bioinformatika\/files\/2024\/10\/tusnady_gabor_fit_247x349.jpg\" alt=\"\" width=\"247\" height=\"349\" \/><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-10076 alignleft\" src=\"https:\/\/semmelweis.hu\/bioinformatika\/files\/2024\/02\/Dobson-Laszlo_kicsiypng-856x1024-1.jpg\" alt=\"\" width=\"234\" height=\"353\" \/>A<em> Briefings in Bioinformatics<\/em> foly\u00f3iratban\u00a0elfogadt\u00e1k <strong>Dr. <span class=\"NormalTextRun SpellingErrorV2Themed SCXW165971529 BCX0\">Tusn\u00e1dy<\/span> G\u00e1bor \u00e9s Dr. <span class=\"NormalTextRun SpellingErrorV2Themed SCXW165971529 BCX0\">Dobson<\/span> L\u00e1szl\u00f3 <\/strong>k\u00f6zrem\u0171k\u00f6d\u00e9s\u00e9vel k\u00e9sz\u00fclt cikket.<\/span><\/span><\/p>\n<p><span class=\"TextRun SCXW165971529 BCX0\" lang=\"HU-HU\" xml:lang=\"HU-HU\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW165971529 BCX0\">Az AlphaFold2 egy m\u00e9ly g\u00e9pi tanul\u00e1son alapul\u00f3 m\u00f3dszer, amely forradalmas\u00edtotta a szerkezeti biol\u00f3gi\u00e1t. Az AlphaFold sosem l\u00e1tott pontoss\u00e1ggal k\u00e9pes megbecs\u00fclni a feh\u00e9rje h\u00e1rom dimenzi\u00f3s szerkezet\u00e9t, ami\u00e9rt a John Jumper \u00e9s\u00a0Demis Hassabis 2024-ben k\u00e9miai Nobel-d\u00edjat kaptak. Az AlphaFold sz\u00e1mos alkalmaz\u00e1s alapj\u00e1ul szolg\u00e1lt \u00e9s gyors\u00edtotta a feh\u00e9rj\u00e9kkel kapcsolatos kutat\u00e1sokat. Azonban az optimizmus miatt sok esetben figyelmen k\u00edv\u00fcl hagyt\u00e1k az adatsziv\u00e1rg\u00e1s (data leakage) probl\u00e9m\u00e1j\u00e1t, amely torz\u00edthatja az AlphaFoldra \u00e9p\u00fcl\u0151 g\u00e9pi tanul\u00e1si m\u00f3dszerek \u00e9rt\u00e9kel\u00e9s\u00e9t. Ebben a munk\u00e1ban egy szigor\u00fa teszthalmazt mutatunk be, amely olyan szerkezeteket \u00e9s szekvenci\u00e1kat tartalmaz, amelyeket az AlphaFold2 nem l\u00e1that(ott) sem a tanul\u00e1s, sem a becsl\u00e9s sor\u00e1n. Ez lehet\u0151v\u00e9 teszi az AlphaFoldra \u00e9p\u00fcl\u0151 alkalmaz\u00e1sok megb\u00edzhat\u00f3 tesztel\u00e9s\u00e9t, \u00e9s seg\u00edt a l\u00e9trehozott modellek objekt\u00edv \u00e9rt\u00e9kel\u00e9s\u00e9ben.<br \/>\n<\/span><\/span><\/p>\n<p style=\"text-align: justify\">A cikkhez kapcsol\u00f3d\u00f3 BETA adatb\u00e1zis a <a href=\"https:\/\/beta.pbrg.hu\/\">https:\/\/beta.pbrg.hu\/<\/a>\u00a0c\u00edmen \u00e9rhet\u0151 el.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A Briefings in Bioinformatics foly\u00f3iratban\u00a0elfogadt\u00e1k Dr. Tusn\u00e1dy G\u00e1bor \u00e9s Dr. Dobson L\u00e1szl\u00f3 k\u00f6zrem\u0171k\u00f6d\u00e9s\u00e9vel k\u00e9sz\u00fclt cikket. Az AlphaFold2 egy m\u00e9ly g\u00e9pi tanul\u00e1son alapul\u00f3 m\u00f3dszer, amely forradalmas\u00edtotta a szerkezeti biol\u00f3gi\u00e1t. Az AlphaFold sosem l\u00e1tott pontoss\u00e1ggal k\u00e9pes megbecs\u00fclni a feh\u00e9rje h\u00e1rom dimenzi\u00f3s szerkezet\u00e9t, ami\u00e9rt a John Jumper \u00e9s\u00a0Demis Hassabis 2024-ben k\u00e9miai Nobel-d\u00edjat kaptak. Az AlphaFold sz\u00e1mos alkalmaz\u00e1s alapj\u00e1ul &hellip;<\/p>\n","protected":false},"author":102440,"featured_media":10927,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2],"tags":[],"class_list":["post-10922","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hirek"],"acf":[],"_links":{"self":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/posts\/10922","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/users\/102440"}],"replies":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/comments?post=10922"}],"version-history":[{"count":5,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/posts\/10922\/revisions"}],"predecessor-version":[{"id":10938,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/posts\/10922\/revisions\/10938"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/media\/10927"}],"wp:attachment":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/media?parent=10922"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/categories?post=10922"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/tags?post=10922"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}