{"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":"2026-08-18T12:50:48","modified_gmt":"2026-08-18T12:50:48","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; background_color=&#8221;#001F52&#8243; 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;#001f52 46%|#002272 75%|#001f52 97%&#8221; height=&#8221;10vh&#8221; height_tablet=&#8221;10vh&#8221; height_phone=&#8221;10vh&#8221; height_last_edited=&#8221;on|tablet&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; sticky_position=&#8221;top&#8221; hover_enabled=&#8221;0&#8243; 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positioning=&#8221;absolute&#8221; position_origin_a=&#8221;center_right&#8221; horizontal_offset=&#8221;10%&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243; disabled_on=&#8221;on|off|off&#8221;][\/et_pb_button][\/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; 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; 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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; _builder_version=&#8221;4.27.6&#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;4.27.6&#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;4.27.6&#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><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">Drug discovery depends on understanding how compounds interact with their intended and unintended targets. Omivera generates quantitative chemical proteomics data to answer the critical questions needed to prioritize compounds with confidence.<\/span><\/p>\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-start para-style-body\"><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">Key questions before advancing your compound:<\/span><\/p>\n<ul>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">Is my compound engaging its intended target?<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">How selective is it in biologically relevant systems?<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">How strongly is each target engaged?<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">Is target engagement consistent across disease-relevant models?<\/span><\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; background_image=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/08\/DSC04152-1.jpg&#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;4.27.6&#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\/06\/omi_Website-Omivera-20.png&#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;4.27.6&#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;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;4.27.6&#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;#CE4257&#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;4.27.6&#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;#CE4257&#8243; 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;4.27.6&#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;#CE4257&#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, in vivo 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;4.27.6&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#228CDB&#8221; 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;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Hanken||||||||&#8221; text_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;\">Where you measure matters just as much as what you measure.<\/h2>\n<p style=\"text-align: center;\"><span style=\"color: #ffffff;\">Whether you&#8217;re developing kinase inhibitors, serine hydrolase inhibitors or covalent drugs, we&#8217;d 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; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;2&#8243; make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.6&#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; 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;#001f52 20%|rgba(34,140,219,0.67) 78%&#8221; background_image=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/06\/omi_Website-Omivera-9.png&#8221; background_blend=&#8221;darken&#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;4.27.6&#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<h2><strong>Kinase Inhibitor Profiling &#8211; CellEKT<\/strong><\/h2>\n<p>Quantitatively profile target engagement and selectivity across upt 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;4.27.6&#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<h3><strong>Serine Hydrolase Inhibitor &amp; Activity-Based Protein Profiling<\/strong><\/h3>\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;4.27.6&#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;#228cdb 19%|#64b6f4 57%|#001f52 98%&#8221; background_image=&#8221;https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/06\/omi_Website-Omivera-15.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;4.27.6&#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<h2><strong>Covalent inhibitor profiling<\/strong><\/h2>\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;#CE4257&#8243; 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