{"id":57676,"date":"2025-09-15T08:48:23","date_gmt":"2025-09-15T11:48:23","guid":{"rendered":"https:\/\/lnbio.cnpem.br\/?page_id=57676"},"modified":"2025-10-21T11:32:25","modified_gmt":"2025-10-21T14:32:25","slug":"design-de-proteinas","status":"publish","type":"page","link":"https:\/\/lnbio.cnpem.br\/en\/divisoes-cientificas\/biologia-integrativa\/design-de-proteinas\/","title":{"rendered":"Protein Design"},"content":{"rendered":"

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Protein Design<\/span><\/h1>\n

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  3. Protein Design<\/span><\/li>\t\t\t\t\t<\/ol>\r\n\t\t\t\t\t
    <\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t[\/vc_column_text][\/vc_column][vc_column width=”1\/2″][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” gap=”5″ css=”.vc_custom_1710932812600{padding-top: 4rem !important;padding-bottom: 4rem !important;background-image: url(https:\/\/lnbio.cnpem.br\/wp-content\/uploads\/2024\/03\/grafismo-organico-lnbio-cinza.png?id=35463) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”][vc_column][vc_row_inner][vc_column_inner][vc_column_text css=””]The ability to expand the known universe of protein amino acid sequences, through de novo design or protein engineering, permits a wide array of possibilities: from optimizing the properties of existing proteins to creating proteins with new functions and structures, with broad biotechnological and therapeutic applicability. Recent advances in the area of protein design and engineering have been driven by the development of new computational methods (especially those based on artificial intelligence), along with high-throughput experimental techniques that make it possible to efficiently analyze proteins generated in silico.<\/p>\n

    In this context, LNBio’s Protein Design Group is dedicated to the development and application of computational methods, with a focus on training machine learning and deep learning models for de novo design and engineering of proteins of interest in health, especially those involved in immune recognition.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_custom_heading text=”Main findings and scientific publications” font_container=”tag:h3|text_align:left” use_theme_fonts=”yes”][vc_row_inner][vc_column_inner width=”1\/3″]\n\t

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    Open Science: Foldit\u2019s first outdoor experience in Brazil<\/h3>\t\t\t
    Using the software, kids and families learned about protein folding and how proteins can be designed for specific functions, including therapeutic applications, all in a relaxed, hands-on environment on a sunny day<\/div>\t\t<\/div>\n\t\t<\/span>\n\t<\/a>\n\n\t\t<\/div>\n\n\t[\/vc_column_inner][vc_column_inner width=”1\/3″]\n\t
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    Simp\u00f3sio marca filia\u00e7\u00e3o do CNPEM \u00e0 RosettaCommons<\/h3>\t\t\t
    A RosettaCommons re\u00fane institui\u00e7\u00f5es de diversos pa\u00edses com o objetivo de acelerar o progresso da biologia estrutural por meio do compartilhamento cont\u00ednuo de algoritmos, dados e avan\u00e7os computacionais<\/div>\t\t<\/div>\n\t\t<\/span>\n\t<\/a>\n\n\t\t<\/div>\n\n\t[\/vc_column_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” css=”.vc_custom_1696434766725{background-color: #ffffff !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”][vc_column][vc_empty_space height=”32″][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” css=”.vc_custom_1696515988446{background-color: #eff2f5 !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”][vc_column][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” content_placement=”middle” css=”.vc_custom_1696516377387{background-color: #eff2f5 !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”][vc_column width=”1\/4″][vc_custom_heading text=”meet
    \nour team” font_container=”tag:h3|text_align:left” use_theme_fonts=”yes”][\/vc_column][vc_column width=”1\/4″]
    \"\"<\/span><\/div>

    Helder Veras Ribeiro Filho<\/h2>
    Lead Researcher<\/div>

    See Lattes CV<\/a><\/p><\/div>

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    Elton Jos\u00e9 Ferreira Chaves<\/h2>
    Specialist<\/div>

    See Lattes CV<\/a><\/p><\/div>

    <\/div><\/div><\/div><\/div>[\/vc_column][vc_column width=”1\/4″][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” css=”.vc_custom_1696434766725{background-color: #ffffff !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”][vc_column][vc_empty_space height=”40″][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” css=”.vc_custom_1705339428945{background-color: #ffffff !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”][vc_column][vc_row_inner][vc_column_inner][vc_custom_heading text=”All groups in integrative biology” font_container=”tag:h3|text_align:left|color:%23111111″ use_theme_fonts=”yes”][vc_separator color=”green” align=”align_left” border_width=”5″ el_width=”10″ css_animation=”slideInLeft”][vc_empty_space][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” css=”.vc_custom_1710441827678{background-color: #ffffff !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”][vc_column][vc_row_inner][vc_column_inner]