{"id":80,"date":"2026-06-12T07:53:42","date_gmt":"2026-06-12T07:53:42","guid":{"rendered":"https:\/\/omivera.jppwebdesign.nl\/?page_id=80"},"modified":"2026-10-22T06:24:18","modified_gmt":"2026-10-22T06:24:18","slug":"home","status":"publish","type":"page","link":"https:\/\/omivera.jppwebdesign.nl\/","title":{"rendered":"Home"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_direction=&#8221;160deg&#8221; background_color_gradient_stops=&#8221;rgba(0,31,82,0.21) 0%|rgba(16, 82, 146, 1) 47%|#b8daf4 100%&#8221; background_image=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/08\/image-2.png&#8221; background_blend=&#8221;multiply&#8221; background_enable_video_mp4=&#8221;off&#8221; height=&#8221;90vh&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; min_height=&#8221;60vh&#8221; custom_margin=&#8221;10vh|auto||auto|false|false&#8221; custom_css_main_element=&#8221;border-bottom: 5px solid;||border-image-slice: 1;||border-image-source: linear-gradient(||    90deg,||    #ebf2ff 0%,||    #228cdb 50%,||    #001f52 100%||);||border-top: 0;||border-left: 0;||border-right: 0;&#8221; border_width_bottom=&#8221;5px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;Hanken|300|||||||&#8221; header_text_color=&#8221;#FFFFFF&#8221; header_font_size=&#8221;40px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1>Enabling better drug discovery decisions through chemical proteomics.<\/h1>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken|200|||||||&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;1.2em&#8221; background_layout=&#8221;dark&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\"> Generate quantitative target engagement and selectivity data to prioritize the right candidate with confidence.<\/span><\/p>\n<p>[\/et_pb_text][et_pb_image src=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/06\/omi_Website-Omivera-26.png&#8221; title_text=&#8221;omi_Website Omivera (26)&#8221; url=&#8221;#next&#8221; _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;3vw&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; 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_builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; height=&#8221;5vh&#8221; global_colors_info=&#8221;{}&#8221;][\/dmpro_carousel_child][dmpro_carousel_child img_src=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/06\/omi_Website-Omivera-30.png&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; height=&#8221;5vh&#8221; global_colors_info=&#8221;{}&#8221;][\/dmpro_carousel_child][dmpro_carousel_child img_src=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/06\/omi_Website-Omivera-30.png&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; height=&#8221;5vh&#8221; global_colors_info=&#8221;{}&#8221;][\/dmpro_carousel_child][dmpro_carousel_child img_src=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/06\/omi_Website-Omivera-30.png&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; height=&#8221;5vh&#8221; global_colors_info=&#8221;{}&#8221;][\/dmpro_carousel_child][\/dmpro_carousel][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; module_id=&#8221;next&#8221; _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;10vh||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken|300|||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;36px&#8221; text_line_height=&#8221;1.2em&#8221; text_orientation=&#8221;justified&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">Confident decisions require better evidence.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; make_equal=&#8221;on&#8221; custom_padding_last_edited=&#8221;on|tablet&#8221; _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;3vh||||false|false&#8221; custom_margin_tablet=&#8221;||||false|false&#8221; custom_margin_phone=&#8221;||||false|false&#8221; custom_margin_last_edited=&#8221;on|tablet&#8221; custom_padding_tablet=&#8221;0px||0px||false|false&#8221; custom_padding_phone=&#8221;0px||0px||false|false&#8221; custom_css_main_element=&#8221;border-left: 3px solid;||border-image-slice: 1;||border-image-source: linear-gradient(||    180deg,||    #001f52 0%,||    #2F5F8F 50%,||    #b8daf4 100%||);||border-top: 0;||border-right: 0;||border-bottom: 0;&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;|||3vw|false|false&#8221; custom_padding_tablet=&#8221;|||3vw|false|false&#8221; custom_padding_phone=&#8221;|||3vw|false|false&#8221; custom_padding_last_edited=&#8221;on|tablet&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken|300|||||||&#8221; text_text_color=&#8221;#000000&#8243; custom_margin=&#8221;3vh||3vh||true|false&#8221; custom_margin_tablet=&#8221;0vh||0vh||false|false&#8221; custom_margin_phone=&#8221;0vh||0vh||false|false&#8221; custom_margin_last_edited=&#8221;on|tablet&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Drug discovery depends on understanding which targets a compound engages, including both intended and unintended targets. Omivera generates quantitative chemical proteomics data to answer the critical questions needed to prioritise compounds with confidence.<\/p>\n<p>Key questions before advancing your compound:<\/p>\n<ul>\n<li>Is your compound engaging its intended target?<\/li>\n<li>How selective is it in biologically relevant systems?<\/li>\n<li>To what extent is each target engaged?<\/li>\n<li>Is target engagement consistent across disease-relevant models?<\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; background_image=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/10\/omi_banner-company-1.png&#8221; custom_padding=&#8221;|||3vw|false|false&#8221; border_radii=&#8221;on|1vh|1vh|1vh|1vh&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#FFFFFF&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_direction=&#8221;141deg&#8221; background_color_gradient_stops=&#8221;#b8daf4 0%|#ebf2ff 48%|rgba(255,255,255,0.28) 100%&#8221; background_color_gradient_overlays_image=&#8221;on&#8221; background_image=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/08\/DSC03994.jpg&#8221; custom_padding=&#8221;10vh||10vh||true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;2&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;60%&#8221; max_width=&#8221;60%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken|700|||||||&#8221; text_text_color=&#8221;#001F52&#8243; text_font_size=&#8221;44px&#8221; text_line_height=&#8221;1.2em&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: center;\"><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">Why chemical proteomics?<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;2&#8243; _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/08\/living-cell.png&#8221; title_text=&#8221;living-cell&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; width=&#8221;40%&#8221; custom_margin=&#8221;||4vh||false|false&#8221; border_radii=&#8221;on|1vh|1vh|1vh|1vh&#8221; border_width_all=&#8221;2px&#8221; border_color_all=&#8221;#001F52&#8243; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken|300|||||||&#8221; text_text_color=&#8221;#000000&#8243; text_line_height=&#8221;1.4em&#8221; header_3_text_color=&#8221;#001F52&#8243; custom_margin=&#8221;||||true|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3 class=\"cvGsUA block-font-kerning-normal block-font-feature-liga-off block-font-feature-clig-off block-font-feature-calt-off direction-ltr align-center para-style-body\" style=\"text-align: center;\"><strong><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">Native biological systems<\/span><\/strong><\/h3>\n<p class=\"cvGsUA block-font-kerning-normal block-font-feature-liga-off block-font-feature-clig-off block-font-feature-calt-off direction-ltr align-center para-style-body\" style=\"text-align: center;\"><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">Measure target engagement directly in living cells and other native biological systems rather than relying on simplified biochemical assays.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/08\/endogenous-protein-profiling.png&#8221; title_text=&#8221;endogenous-protein-profiling&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; width=&#8221;40%&#8221; custom_margin=&#8221;||4vh||false|false&#8221; border_radii=&#8221;on|1vh|1vh|1vh|1vh&#8221; border_width_all=&#8221;2px&#8221; border_color_all=&#8221;#001F52&#8243; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken|300|||||||&#8221; text_text_color=&#8221;#000000&#8243; text_line_height=&#8221;1.4em&#8221; header_3_text_color=&#8221;#001F52&#8243; min_height=&#8221;95.2px&#8221; custom_margin=&#8221;||||true|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3 style=\"text-align: center;\"><strong>Endogenous protein profiling<\/strong><\/h3>\n<p style=\"text-align: center;\">Profile target engagement and selectivity across hundreds of endogenous proteins simultaneously, revealing both intended and unexpected interactions.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/08\/cross-model-profiling.png&#8221; title_text=&#8221;cross-model-profiling&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; width=&#8221;40%&#8221; custom_margin=&#8221;||4vh||false|false&#8221; border_radii=&#8221;on|1vh|1vh|1vh|1vh&#8221; border_width_all=&#8221;2px&#8221; border_color_all=&#8221;#001F52&#8243; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken|300|||||||&#8221; text_text_color=&#8221;#000000&#8243; text_line_height=&#8221;1.4em&#8221; header_3_text_color=&#8221;#001F52&#8243; custom_margin=&#8221;||||true|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3 style=\"text-align: center;\"><strong>Cross-model profiling<\/strong><\/h3>\n<p style=\"text-align: center;\">Apply the same quantitative chemical proteomics workflows across cell lines, <em>in vivo<\/em> models, and PBMCs to directly compare target engagement as compounds progress through drug discovery.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||15vh||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#B8DAF4&#8243; border_radii=&#8221;on|1vh|1vh|1vh|1vh&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken||||||||&#8221; text_text_color=&#8221;#001F52&#8243; header_2_text_color=&#8221;#001F52&#8243; header_3_font=&#8221;Hanken|800|||||||&#8221; header_3_text_color=&#8221;#001F52&#8243; header_3_font_size=&#8221;26px&#8221; header_3_line_height=&#8221;1.2em&#8221; background_layout=&#8221;dark&#8221; custom_padding=&#8221;2vh|3vw|2vh|3vw|true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2 style=\"text-align: center;\"><strong>Where you measure matters just as much as what you measure.<\/strong><\/h2>\n<p style=\"text-align: center;\"><span style=\"color: #001f52;\">Whether you are developing kinase inhibitors, serine hydrolase inhibitors or covalent drugs, we wouldd be happy to discuss the most appropriate chemical proteomics strategy.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; 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_module_preset=&#8221;default&#8221; text_font=&#8221;Hanken||||||||&#8221; position_origin_a=&#8221;center_center&#8221; background_layout=&#8221;dark&#8221; min_height=&#8221;10vh&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; content__hover_enabled=&#8221;off|hover&#8221; content__hover=&#8221;<\/p>\n<h2 style=%22text-align: center;%22><strong>CellEKT<\/strong><\/h2>\n<p style=%22text-align: center;%22><strong>Measure target engagement across the kinome in biologically relevant systems. CellEKT is Omivera&#8217;s proprietary platform for measuring target engagement across the kinome using chemical proteomics..<\/strong><\/p>\n<p>&#8221; positioning__hover_enabled=&#8221;off|hover&#8221; position_origin_a__hover_enabled=&#8221;off|hover&#8221; position_origin_f__hover_enabled=&#8221;off|hover&#8221; position_origin_r__hover_enabled=&#8221;off|hover&#8221; positioning__hover=&#8221;none&#8221; position_origin_a__hover=&#8221;center_center&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2><strong>Kinase inhibitor profiling &#8211; CellEKT<\/strong><sup style=\"position: relative; top: 0.2em;\">\u00ae<\/sup><\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken||||||||&#8221; position_origin_a=&#8221;center_center&#8221; background_layout=&#8221;dark&#8221; global_colors_info=&#8221;{}&#8221; content__hover_enabled=&#8221;off|hover&#8221; content__hover=&#8221;<\/p>\n<h2 style=%22text-align: center;%22><strong>CellEKT<\/strong><\/h2>\n<p style=%22text-align: center;%22><strong>Measure target engagement across the kinome in biologically relevant systems. CellEKT is Omivera&#8217;s proprietary platform for measuring target engagement across the kinome using chemical proteomics..<\/strong><\/p>\n<p>&#8221; positioning__hover_enabled=&#8221;off|hover&#8221; position_origin_a__hover_enabled=&#8221;off|hover&#8221; position_origin_f__hover_enabled=&#8221;off|hover&#8221; position_origin_r__hover_enabled=&#8221;off|hover&#8221; positioning__hover=&#8221;none&#8221; position_origin_a__hover=&#8221;center_center&#8221;]<\/p>\n<p>Quantitatively profile target engagement and selectivity across up to 90% of endogenous kinases in biologically native systems.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_type=&#8221;circular&#8221; background_color_gradient_direction_radial=&#8221;top left&#8221; background_color_gradient_stops=&#8221;#b8daf4 23%|rgba(34,140,219,0.67) 78%&#8221; background_image=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/07\/omi_Website-Omivera-47.png&#8221; background_blend=&#8221;multiply&#8221; custom_padding=&#8221;6vh|2vw|6vh|2vw|true|true&#8221; border_radii=&#8221;on|1vh|1vh|1vh|1vh&#8221; global_colors_info=&#8221;{}&#8221; background__hover_enabled=&#8221;off|desktop&#8221; background_color_gradient_stops__hover=&#8221;#001f52 55%|#228cdb 100%&#8221; use_background_color_gradient__hover=&#8221;on&#8221;][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken||||||||&#8221; position_origin_a=&#8221;center_center&#8221; background_layout=&#8221;dark&#8221; min_height=&#8221;10vh&#8221; global_colors_info=&#8221;{}&#8221; content__hover_enabled=&#8221;off|hover&#8221; content__hover=&#8221;<\/p>\n<h2 style=%22text-align: center;%22><strong>CellEKT<\/strong><\/h2>\n<p style=%22text-align: center;%22><strong>Measure target engagement across the kinome in biologically relevant systems. CellEKT is Omivera&#8217;s proprietary platform for measuring target engagement across the kinome using chemical proteomics..<\/strong><\/p>\n<p>&#8221; positioning__hover_enabled=&#8221;off|hover&#8221; position_origin_a__hover_enabled=&#8221;off|hover&#8221; position_origin_f__hover_enabled=&#8221;off|hover&#8221; position_origin_r__hover_enabled=&#8221;off|hover&#8221; positioning__hover=&#8221;none&#8221; position_origin_a__hover=&#8221;center_center&#8221;]<\/p>\n<h2><strong>Serine hydrolase inhibitor &#038; activity-based protein profiling<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken||||||||&#8221; position_origin_a=&#8221;center_center&#8221; background_layout=&#8221;dark&#8221; global_colors_info=&#8221;{}&#8221; content__hover_enabled=&#8221;off|hover&#8221; content__hover=&#8221;<\/p>\n<h2 style=%22text-align: center;%22><strong>CellEKT<\/strong><\/h2>\n<p style=%22text-align: center;%22><strong>Measure target engagement across the kinome in biologically relevant systems. CellEKT is Omivera&#8217;s proprietary platform for measuring target engagement across the kinome using chemical proteomics..<\/strong><\/p>\n<p>&#8221; positioning__hover_enabled=&#8221;off|hover&#8221; position_origin_a__hover_enabled=&#8221;off|hover&#8221; position_origin_f__hover_enabled=&#8221;off|hover&#8221; position_origin_r__hover_enabled=&#8221;off|hover&#8221; positioning__hover=&#8221;none&#8221; position_origin_a__hover=&#8221;center_center&#8221;]<\/p>\n<p>Measure target engagement and selectivity of serine hydrolase inhibitors by using proteomics- and gel-based activity-based protein profiling (ABPP).<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_type=&#8221;circular&#8221; background_color_gradient_direction_radial=&#8221;top left&#8221; background_color_gradient_stops=&#8221;rgba(0,31,82,0.9) 50%|rgba(100,182,244,0.74) 99%&#8221; background_color_gradient_overlays_image=&#8221;on&#8221; background_image=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/06\/omi_Website-Omivera-15.png&#8221; custom_padding=&#8221;6vh|2vw|6vh|2vw|true|true&#8221; border_radii=&#8221;on|1vh|1vh|1vh|1vh&#8221; global_colors_info=&#8221;{}&#8221; background__hover_enabled=&#8221;off|desktop&#8221; background_color_gradient_stops__hover=&#8221;#001f52 55%|#228cdb 100%&#8221; use_background_color_gradient__hover=&#8221;on&#8221;][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken||||||||&#8221; position_origin_a=&#8221;center_center&#8221; background_layout=&#8221;dark&#8221; min_height=&#8221;10vh&#8221; global_colors_info=&#8221;{}&#8221; content__hover_enabled=&#8221;off|hover&#8221; content__hover=&#8221;<\/p>\n<h2 style=%22text-align: center;%22><strong>CellEKT<\/strong><\/h2>\n<p style=%22text-align: center;%22><strong>Measure target engagement across the kinome in biologically relevant systems. CellEKT is Omivera&#8217;s proprietary platform for measuring target engagement across the kinome using chemical proteomics..<\/strong><\/p>\n<p>&#8221; positioning__hover_enabled=&#8221;off|hover&#8221; position_origin_a__hover_enabled=&#8221;off|hover&#8221; position_origin_f__hover_enabled=&#8221;off|hover&#8221; position_origin_r__hover_enabled=&#8221;off|hover&#8221; positioning__hover=&#8221;none&#8221; position_origin_a__hover=&#8221;center_center&#8221;]<\/p>\n<h2><strong>Covalent inhibitor profiling<\/strong><\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken||||||||&#8221; position_origin_a=&#8221;center_center&#8221; background_layout=&#8221;dark&#8221; global_colors_info=&#8221;{}&#8221; content__hover_enabled=&#8221;off|hover&#8221; content__hover=&#8221;<\/p>\n<h2 style=%22text-align: center;%22><strong>CellEKT<\/strong><\/h2>\n<p style=%22text-align: center;%22><strong>Measure target engagement across the kinome in biologically relevant systems. CellEKT is Omivera&#8217;s proprietary platform for measuring target engagement across the kinome using chemical proteomics..<\/strong><\/p>\n<p>&#8221; positioning__hover_enabled=&#8221;off|hover&#8221; position_origin_a__hover_enabled=&#8221;off|hover&#8221; position_origin_f__hover_enabled=&#8221;off|hover&#8221; position_origin_r__hover_enabled=&#8221;off|hover&#8221; positioning__hover=&#8221;none&#8221; position_origin_a__hover=&#8221;center_center&#8221;]<\/p>\n<p>Profile covalent inhibitors using residue specific probes or\u00a0 tailored probes, enabling measurement of target engagement across endogenous proteins.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_divider color=&#8221;rgba(34,140,219,0.38)&#8221; 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_module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken|300|||||||&#8221; text_font_size=&#8221;40px&#8221; text_line_height=&#8221;1.2em&#8221; header_2_font=&#8221;Hanken||||||||&#8221; header_3_font=&#8221;Hanken||||||||&#8221; header_4_font=&#8221;Hanken||||||||&#8221; header_4_text_color=&#8221;#DCE7FA&#8221; header_4_font_size=&#8221;28px&#8221; background_layout=&#8221;dark&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><em>Ensure every development decision is guided by biology that actually matters.<\/em><\/p>\n<h4><\/h4>\n<h4>Joel R\u00fcegger, <strong>CEO<\/strong><\/h4>\n<p>[\/et_pb_text][et_pb_social_media_follow _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_social_media_follow_network social_network=&#8221;linkedin&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; 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