{"id":15449,"date":"2024-02-22T15:05:41","date_gmt":"2024-02-22T14:05:41","guid":{"rendered":"https:\/\/sano.science\/?post_type=people&#038;p=15449"},"modified":"2026-02-20T11:36:59","modified_gmt":"2026-02-20T10:36:59","slug":"pawel-szczerbiak","status":"publish","type":"people","link":"https:\/\/sano.science\/people\/pawel-szczerbiak\/","title":{"rendered":"Pawe\u0142 Szczerbiak"},"excerpt":{"rendered":"<p>Postdoctoral Researcher<\/p>\n","protected":false},"featured_media":22584,"template":"","people_teams":[19,114],"class_list":["post-15449","people","type-people","status-publish","has-post-thumbnail","hentry","people_teams-research","people_teams-structural-and-functional-genomics-group"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.4 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Pawe\u0142 Szczerbiak - 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\/people\/pawel-szczerbiak\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pawe\u0142 Szczerbiak\" \/>\n<meta property=\"og:description\" content=\"Postdoctoral Researcher\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/people\/pawel-szczerbiak\/\" \/>\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=\"2026-02-20T10:36:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/02\/Pawel-Szczerbiak.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"2000\" \/>\n\t<meta property=\"og:image:height\" content=\"2000\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\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=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/people\\\/pawel-szczerbiak\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/people\\\/pawel-szczerbiak\\\/\",\"name\":\"Pawe\u0142 Szczerbiak - 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His thesis was devoted to semiconductor lasers modelling. He completed his MSc and PhD degrees in theoretical physics at the University of Warsaw, Poland in 2013 and 2018, respectively. His research was focused on cosmology and particle physics. Both theses concerned dark matter in several extensions of the Standard Model of particle physics.\u00a0Between 2016 and 2018, he supervised a scientific grant \u201cPreludium\u201d from National Science Center titled: \u201cModels of Hot Dark Matter and their phenomenological consequences\u201d. Between 2019 and 2023 he worked as a postdoctoral research associate in Structural and Functional Genomics lab at Ma\u0142opolska Centre of Biotechnology. Since 2024 he is a postdoctoral researcher in dr Tomasz Ko\u015bci\u00f3\u0142ek&#8217;s research group at Sano.<\/p>\n<p>His current research focus is on methods for protein structure and function prediction with special emphasis on their computational side. In general, he is interested in utilizing mathematical and machine learning techniques in science.<\/p>\n","email":"","position_with_team":{"text_before_link":"Postdoctoral Researcher in","link_text":"Structural and Functional Genomics Group","text_after_link":"","link":"https:\/\/sano.science\/research-teams\/structural-and-functional-genomics\/"},"social_media":false,"tabs":false,"quote":"","publications":[{"ID":20647,"post_author":"8","post_date":"2025-01-10 11:17:24","post_date_gmt":"2025-01-10 10:17:24","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-qKj7lS\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-pawel-szczerbiak-lukasz-m-szydlowski-witold-wydmanski-p-douglas-renfrew-julia-koehler-leman-tomasz-kosciolek\">Pawe\u0142 Szczerbiak, Lukasz M. Szydlowski, Witold Wydma\u0144ski, P. Douglas Renfrew, Julia Koehler Leman, Tomasz Kosciolek<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"40px\",\"epAnimationGeneratedClass\":\"edplus_anim-BU3oJP\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-ydGv10\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">Advances in protein structure prediction have resulted in a remarkable rise in high-quality 3D models, emphasizing the need for effective computational methods to handle and explore this structural data. Our study explores structural clusters derived from the AlphaFold Protein Structure Database (AFDB), a high-quality subset of ESMAtlas, and the Microbiome Immunity Project (MIP). We generate a unified low-dimensional representation of the protein structure space, revealing that while each database occupies distinct regions, they share significant overlap in functional profiles. Key biological functions cluster within specific regions, indicating a common functional landscape across diverse datasets. To support data exploration, we developed an open-access web server. These findings provide a foundation for further research into protein sequence-structure-function relationships, including taxonomic classification, environmental influences, and functional specificity.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"40px\",\"epAnimationGeneratedClass\":\"edplus_anim-BU3oJP\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-b6JXoH\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\"><strong>DOI<\/strong>: https:\/\/doi.org\/10.1101\/2024.08.14.607935<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-nv0xgb\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\"><strong>Keywords<\/strong>: protein structure prediction3D modelsAlphaFold Protein Structure Database (AFDB)ESMAtlasMicrobiome Immunity Project (MIP)structural clusterslow-dimensional representationfunctional profilesbiological functionsopen-access web serverprotein sequence-structure-function relationships<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"40px\",\"epAnimationGeneratedClass\":\"edplus_anim-BU3oJP\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_6780f1729ec59\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/www.biorxiv.org\/content\/10.1101\/2024.08.14.607935v2\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_self\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"Large protein databases reveal structural complementarity and functional locality","post_excerpt":"Journal paper in: www.biorxiv.org\/content, 2024","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"large-protein-databases-reveal-structural-complementarity-and-functional-locality","to_ping":"","pinged":"","post_modified":"2025-01-10 13:44:35","post_modified_gmt":"2025-01-10 12:44:35","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&#038;p=20647","menu_order":0,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"}]},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/15449","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/people"}],"version-history":[{"count":6,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/15449\/revisions"}],"predecessor-version":[{"id":29242,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/15449\/revisions\/29242"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/22584"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=15449"}],"wp:term":[{"taxonomy":"people_teams","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people_teams?post=15449"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}