[et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” use_background_color_gradient=”on” background_color_gradient_direction=”122deg” background_color_gradient_stops=”#001f52 0%|rgba(235,242,255,0.03) 99%” background_color_gradient_overlays_image=”on” background_image=”https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/06\/omi_Website-Omivera-9.png” background_enable_video_mp4=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.27.6″ _module_preset=”default” min_height=”50vh” custom_css_main_element=”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;” border_width_bottom=”5px” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” header_font=”Hanken|300|||||||” header_text_color=”#FFFFFF” header_font_size=”40px” header_2_font=”–et_global_heading_font|100|||||||” header_2_text_color=”#B8DAF4″ header_2_font_size=”36px” header_2_line_height=”2em” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][et_pb_button button_text=”Discuss your project” _builder_version=”4.27.6″ _module_preset=”default” custom_button=”on” button_text_size=”18px” button_text_color=”#FFFFFF” button_bg_color=”#228CDB” button_border_width=”0px” button_border_radius=”5px” button_font=”Hanken||||||||” global_colors_info=”{}”][\/et_pb_button][et_pb_image src=”https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/06\/omi_Website-Omivera-26.png” title_text=”omi_Website Omivera (26)” url=”#next” _builder_version=”4.27.9″ _module_preset=”default” max_width=”3vw” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” custom_padding=”10vh||||false|false” global_colors_info=”{}”][et_pb_row module_id=”next” _builder_version=”4.27.9″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” text_font=”Hanken|200|||||||” text_text_color=”#000000″ text_font_size=”26px” text_line_height=”1.4em” header_2_font=”Hanken|200|||||||” header_2_text_color=”#000000″ header_2_font_size=”32px” header_2_line_height=”1.2em” global_colors_info=”{}”]<\/p>\n
Use activity-based profiling to compare inhibitor activity across serine hydrolases, from rapid gel-based assessment to deeper mass-spectrometry profiling in living cells. The choice of readout depends on the stage of your development and the desired level of analytical depth.<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” background_color=”#001F52″ custom_padding=”5vh|3vw|5vh|3vw|true|true” border_radii=”on|1vh|1vh|1vh|1vh” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” text_text_color=”#FFFFFF” header_2_text_color=”#FFFFFF” header_2_line_height=”1.6em” background_layout=”dark” global_colors_info=”{}”]<\/p>\n
Fast, focused profiling for larger compound sets.<\/strong><\/p>\n Gel-based profiling provides a simpler, faster and lower-cost way to compare serine hydrolase inhibitors. It is particularly useful earlier in a programme, when you want to evaluate a larger number of compounds before selecting which should move into deeper profiling.<\/p>\n Typical coverage: approximately 10\u201315 quantifiable serine hydrolases.<\/p>\n Best suited for:<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” background_image=”https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/06\/omi_Website-Omivera-11.png” border_radii=”on|1vh|1vh|1vh|1vh” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” background_color=”#228CDB” custom_padding=”5vh|3vw|5vh|3vw|true|true” border_radii=”on|1vh|1vh|1vh|1vh” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” text_text_color=”#FFFFFF” header_2_text_color=”#FFFFFF” header_2_line_height=”1.6em” global_colors_info=”{}”]<\/p>\n Greater depth across the serine hydrolase family.<\/strong><\/p>\n Once a smaller set of inhibitors has been selected, mass spectrometry-based chemical proteomics provides a much deeper view of inhibitor activity and selectivity. Profiling can be performed in living cells, allowing target engagement to be studied in a more biologically relevant environment.<\/p>\n Omivera has achieved coverage of approximately 100 serine hydrolases in live-cell profiling across three different cell lines.<\/p>\n Best suited for:<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” background_image=”https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/08\/DSC03994.jpg” border_radii=”on|1vh|1vh|1vh|1vh” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” background_image=”https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/07\/omi_Website-Omivera-41.png” parallax=”on” global_colors_info=”{}”][et_pb_row column_structure=”1_4,1_4,1_4,1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” text_font=”||||||||” background_layout=”dark” global_colors_info=”{}”]<\/p>\n Use gel-based profiling to assess a larger set of inhibitors quickly.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” background_layout=”dark” global_colors_info=”{}”]<\/p>\n Identify the compounds that warrant more detailed investigation.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” background_layout=”dark” global_colors_info=”{}”]<\/p>\n Use mass spectrometry to assess activity across a broader range of serine hydrolases.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” background_layout=”dark” global_colors_info=”{}”]<\/p>\n Generate a more detailed picture of how selected inhibitors behave in a cellular environment.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_divider _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ disabled_on=”off|on|off” _builder_version=”4.27.9″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” text_font=”|300|||||||” text_font_size=”28px” text_line_height=”1.4em” background_layout=”dark” global_colors_info=”{}”]<\/p>\n Activity-based serine hydrolase profiling is supported by published work using the lysate-based approach.<\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/www.science.org\/doi\/10.1126\/science.aaf7497″ button_text=”Read more” _builder_version=”4.27.9″ _module_preset=”default” custom_button=”on” button_text_size=”18px” button_text_color=”#FFFFFF” button_bg_color=”#228CDB” button_border_width=”0px” button_border_radius=”5px” button_font=”Hanken||||||||” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/omivera.jppwebdesign.nl\/wp-content\/uploads\/2026\/10\/Papers-for-website.png” title_text=”Papers for website” _builder_version=”4.27.9″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Serine hydrolases Profile serine hydrolase activity and inhibitor selectivity at the depth your program needs.Use activity-based profiling to compare inhibitor activity across serine hydrolases, from rapid gel-based assessment to deeper mass-spectrometry profiling in living cells. The choice of readout depends on the stage of your development and the desired level of analytical depth.Gel-based profiling Fast, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-422","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/omivera.jppwebdesign.nl\/index.php?rest_route=\/wp\/v2\/pages\/422","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/omivera.jppwebdesign.nl\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/omivera.jppwebdesign.nl\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/omivera.jppwebdesign.nl\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/omivera.jppwebdesign.nl\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=422"}],"version-history":[{"count":13,"href":"https:\/\/omivera.jppwebdesign.nl\/index.php?rest_route=\/wp\/v2\/pages\/422\/revisions"}],"predecessor-version":[{"id":690,"href":"https:\/\/omivera.jppwebdesign.nl\/index.php?rest_route=\/wp\/v2\/pages\/422\/revisions\/690"}],"wp:attachment":[{"href":"https:\/\/omivera.jppwebdesign.nl\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=422"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
Mass spectrometry profiling<\/h2>\n
\n
1. Compare compounds<\/h3>\n
2. Prioritise candidates<\/h3>\n
3. Profile in greater depth<\/h3>\n
4. Activity in living cells<\/h3>\n