<\/p>\n","protected":false},"excerpt":{"rendered":"
Pawe\u0142 Szczerbiak, Postdoctoral Researcher in Structural and Functional Genomics Group, Sano, PL<\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-27550","seminars","type-seminars","status-publish","hentry"],"yoast_head":"\n
189. Interpretable\u00a0protein function predictions with deepFRI2 - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/seminars\/interpretable-protein-function-predictions-with-deepfri2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"189. Interpretable\u00a0protein function predictions with deepFRI2\" \/>\n<meta property=\"og:description\" content=\"Pawe\u0142 Szczerbiak, Postdoctoral Researcher in Structural and Functional Genomics Group, Sano, PL\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/seminars\/interpretable-protein-function-predictions-with-deepfri2\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-05-14T08:01:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/12\/Interpretable-protein-function-predictions-with-deepFRI2.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/seminars\\\/interpretable-protein-function-predictions-with-deepfri2\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/seminars\\\/interpretable-protein-function-predictions-with-deepfri2\\\/\",\"name\":\"189. 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Interpretable\u00a0protein function predictions with deepFRI2 - Centre for Computational Personalized Medicine","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sano.science\/seminars\/interpretable-protein-function-predictions-with-deepfri2\/","og_locale":"en_US","og_type":"article","og_title":"189. Interpretable\u00a0protein function predictions with deepFRI2","og_description":"Pawe\u0142 Szczerbiak, Postdoctoral Researcher in Structural and Functional Genomics Group, Sano, PL","og_url":"https:\/\/sano.science\/seminars\/interpretable-protein-function-predictions-with-deepfri2\/","og_site_name":"Centre for Computational Personalized Medicine","article_publisher":"https:\/\/www.facebook.com\/sano.science\/","article_modified_time":"2026-05-14T08:01:08+00:00","og_image":[{"width":1200,"height":628,"url":"https:\/\/sano.science\/wp-content\/uploads\/2025\/12\/Interpretable-protein-function-predictions-with-deepFRI2.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_site":"@sanoscience","twitter_misc":{"Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/sano.science\/seminars\/interpretable-protein-function-predictions-with-deepfri2\/","url":"https:\/\/sano.science\/seminars\/interpretable-protein-function-predictions-with-deepfri2\/","name":"189. Interpretable\u00a0protein function predictions with deepFRI2 - Centre for Computational Personalized Medicine","isPartOf":{"@id":"https:\/\/sano.science\/#website"},"primaryImageOfPage":{"@id":"https:\/\/sano.science\/seminars\/interpretable-protein-function-predictions-with-deepfri2\/#primaryimage"},"image":{"@id":"https:\/\/sano.science\/seminars\/interpretable-protein-function-predictions-with-deepfri2\/#primaryimage"},"thumbnailUrl":"https:\/\/sano.science\/wp-content\/uploads\/2025\/12\/Interpretable-protein-function-predictions-with-deepFRI2-1024x536.jpg","datePublished":"2025-12-22T06:54:54+00:00","dateModified":"2026-05-14T08:01:08+00:00","breadcrumb":{"@id":"https:\/\/sano.science\/seminars\/interpretable-protein-function-predictions-with-deepfri2\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sano.science\/seminars\/interpretable-protein-function-predictions-with-deepfri2\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/sano.science\/seminars\/interpretable-protein-function-predictions-with-deepfri2\/#primaryimage","url":"https:\/\/sano.science\/wp-content\/uploads\/2025\/12\/Interpretable-protein-function-predictions-with-deepFRI2.jpg","contentUrl":"https:\/\/sano.science\/wp-content\/uploads\/2025\/12\/Interpretable-protein-function-predictions-with-deepFRI2.jpg","width":1200,"height":628},{"@type":"BreadcrumbList","@id":"https:\/\/sano.science\/seminars\/interpretable-protein-function-predictions-with-deepfri2\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/sano.science\/"},{"@type":"ListItem","position":2,"name":"Seminars","item":"https:\/\/sano.science\/seminars\/"},{"@type":"ListItem","position":3,"name":"189. Interpretable\u00a0protein function predictions with deepFRI2"}]},{"@type":"WebSite","@id":"https:\/\/sano.science\/#website","url":"https:\/\/sano.science\/","name":"Centre for Computational Personalized Medicine","description":"Sano \u2013 Centre for Computational Medicine","publisher":{"@id":"https:\/\/sano.science\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sano.science\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/sano.science\/#organization","name":"Sano \u2013 Centre for Computational Medicine","alternateName":"Sano","url":"https:\/\/sano.science\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/","url":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","contentUrl":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","width":700,"height":265,"caption":"Sano \u2013 Centre for Computational Medicine"},"image":{"@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/sano.science\/","https:\/\/x.com\/sanoscience","https:\/\/www.linkedin.com\/company\/sanoscience\/","https:\/\/www.youtube.com\/channel\/UCDZ_8TcjMWUG2ZcgKKgfpwQ","https:\/\/bsky.app\/profile\/sanoscience.bsky.social"]}]}},"acf":[],"gutenberg_blocks":[{"blockName":"custom-styles","attrs":{"styles":""}},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-9TCaBc","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-abstract\">Abstract:<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-abstract\">Abstract:<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-GvEMqK","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Protein function prediction remains a key challenge in biology due to the rapid growth of sequence and structure data enabled by high-throughput technologies and recent advances in protein structure prediction. In my talk I will introduce deepFRI2, an upgraded framework of deepFRI (Deep Functional Residue Identification). Like its predecessor, deepFRI2 operates in two complementary modes: sequence-based and sequence+structure-based. Architecturally, the model consists of two main components: a structural prober, which leverages shallow convolutions over distograms for improved interpretability, and a sequence analyzer, powered by protein language model with lightweight attention, to capture evolutionary and sequence-derived signals. Guided by principles of simplicity and robustness, deepFRI2 uses only a few million parameters yet achieves strong performance across all evaluated benchmarks, improving upon deepFRI and reaching state-of-the-art results. At the same time, it preserves a high level of interpretability and scalability \u2014 two often overlooked, but crucial features.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Protein function prediction remains a key challenge in biology due to the rapid growth of sequence and structure data enabled by high-throughput technologies and recent advances in protein structure prediction. In my talk I will introduce deepFRI2, an upgraded framework of deepFRI (Deep Functional Residue Identification). Like its predecessor, deepFRI2 operates in two complementary modes: sequence-based and sequence+structure-based. Architecturally, the model consists of two main components: a structural prober, which leverages shallow convolutions over distograms for improved interpretability, and a sequence analyzer, powered by protein language model with lightweight attention, to capture evolutionary and sequence-derived signals. Guided by principles of simplicity and robustness, deepFRI2 uses only a few million parameters yet achieves strong performance across all evaluated benchmarks, improving upon deepFRI and reaching state-of-the-art results. At the same time, it preserves a high level of interpretability and scalability \u2014 two often overlooked, but crucial features.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-rlIfiy","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-wYDSqi","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-about-the-author\">About the author:<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-about-the-author\">About the author:<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-TTQY8B","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/pawel-szczerbiak\/\" type=\"people\" id=\"15449\">Pawe\u0142<\/a> started his journey in science by studying computational and medical physics at the Lodz University of Technology. His BSc thesis was devoted to semiconductor laser modelling. He completed his MSc and PhD degrees in theoretical physics at the University of Warsaw, where his research focused on cosmology and particle physics. His scientific interests underwent a tectonic shift in 2019, when he joined the Structural and Functional Genomics Laboratory at the Ma\u0142opolska Centre of Biotechnology as a postdoctoral research associate. Since 2024, he has been a postdoctoral researcher in Tomasz Ko\u015bci\u00f3\u0142ek\u2019s research group at Sano \u2013 Centre for Computational Medicine. His current research focuses on methods for protein structure and function prediction, with particular emphasis on their computational aspects. More generally, he is interested in applying mathematical and machine learning techniques in science.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/pawel-szczerbiak\/\" type=\"people\" id=\"15449\">Pawe\u0142<\/a> started his journey in science by studying computational and medical physics at the Lodz University of Technology. His BSc thesis was devoted to semiconductor laser modelling. He completed his MSc and PhD degrees in theoretical physics at the University of Warsaw, where his research focused on cosmology and particle physics. His scientific interests underwent a tectonic shift in 2019, when he joined the Structural and Functional Genomics Laboratory at the Ma\u0142opolska Centre of Biotechnology as a postdoctoral research associate. Since 2024, he has been a postdoctoral researcher in Tomasz Ko\u015bci\u00f3\u0142ek\u2019s research group at Sano \u2013 Centre for Computational Medicine. His current research focuses on methods for protein structure and function prediction, with particular emphasis on their computational aspects. More generally, he is interested in applying mathematical and machine learning techniques in science.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"40px","epAnimationGeneratedClass":"edplus_anim-0uQEUM","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/image","attrs":{"id":30768,"sizeSlug":"large","linkDestination":"none","epAnimationGeneratedClass":"edplus_anim-sPyygz","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/12\/Interpretable-protein-function-predictions-with-deepFRI2-1024x536.jpg\" alt=\"\" class=\"wp-image-30768\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/12\/Interpretable-protein-function-predictions-with-deepFRI2-1024x536.jpg\" alt=\"\" class=\"wp-image-30768\"\/><\/figure>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-OkShbn","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><\/p>\n"]}],"meta_data":{"event_day":"2026-05-18","event_time":"14.00 CEST","event_guest":"","has_medias":true,"medias":[{"icon":{"ID":1144,"id":1144,"title":"clock","filename":"clock.svg","filesize":1479,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","link":"https:\/\/sano.science\/seminars\/79-digital-behaviour-change-interventions-dbci-from-design-to-implementation\/clock\/","alt":"clock Sano Seminar","author":"7","description":"","caption":"Sano Seminar 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