
{"id":16934,"date":"2025-02-13T09:57:49","date_gmt":"2025-02-13T09:57:49","guid":{"rendered":"https:\/\/www.sygnaturediscovery.com\/blog\/unlocking-the-power-of-phenotypic-screening-in-drug-discovery\/"},"modified":"2025-02-13T09:57:49","modified_gmt":"2025-02-13T09:57:49","slug":"unlocking-the-power-of-phenotypic-screening-in-drug-discovery","status":"publish","type":"blog","link":"https:\/\/www.sygnaturediscovery.com\/fr\/blog\/unlocking-the-power-of-phenotypic-screening-in-drug-discovery\/","title":{"rendered":"Unlocking the Power of Phenotypic Screening in Drug Discovery"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><span style=\"font-size: 24pt;\">In the vast landscape of drug discovery, where the journey from concept to cure is often fraught with challenges and uncertainties, researchers constantly seek innovative approaches to accelerate the process. Among these approaches, phenotypic screening stands out as a powerful technique with the potential to revolutionize the discovery of new therapeutic agents and deliver mainly first-in-class drugs.<\/span><\/h2>\n\n\n\n<figure class=\"wp-block-image aligncenter wp-image-18016\"><img decoding=\"async\" src=\"https:\/\/www.sygnaturediscovery.com\/wp-content\/uploads\/2025\/11\/Picture3-2-1.png\" alt=\"Figure 2: Graph showing PubMed search volumes for \u2018phenotypic screening\u2019 by year\" class=\"wp-image-18016\"><figcaption class=\"wp-element-caption\"><strong>Figure 1:<\/strong> Graph showing PubMed search volumes for \u2018phenotypic screening\u2019 by year.<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">\u00a0<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>PubMed \u2013 \u201cPhenotypic screen\u201d query hits by year.<\/strong><\/h3>\n\n\n\n<p><span style=\"font-size: 18pt;\">In recent times, drug discovery has relied heavily on target-based approaches, where molecules are designed to interact with specific molecular targets implicated in disease processes. While this strategy has led to remarkable breakthroughs, it also has limitations, particularly when the underlying molecular mechanisms of a disease are not fully understood or when targeting a single pathway fails to yield the desired clinical outcomes as manifested by the high late-stage failure rate of drugs in development due to lack of efficacy<sup>1<\/sup>.\u00a0<\/span><\/p>\n\n\n\n<p><span style=\"font-size: 18pt;\">Phenotypic screening offers a complementary approach by focusing on cells\u2019 or organisms\u2019 observable characteristics, or phenotypes, in response to drug treatment. Instead of starting with a predefined molecular target, researchers expose disease-relevant cells or model organisms to libraries of compounds and observe changes in phenotype, such as cell morphology, viability, or function. To increase the likelihood of a phenotypic hit, these compound libraries can be crafted using a broad range of chemotypes from natural products, peptides and compounds with known bioactivity.\u00a0 By analyzing these phenotypic changes, researchers can identify compounds that modulate the disease phenotype, even if the underlying exact molecular mechanism of action is initially unknown<sup>2,3<\/sup>.<\/span><\/p>\n\n\n\n<p>\u00a0<\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>Table 1:<\/strong> Advantages of phenotypic screening as a powerful technique.<\/p>\n\n\n<section class=\"Pegasus__Container w-full   relative h-fit  text-content-dark mobile-stacking-standard is-layout-flow wp-block-pegasus-container-is-layout-flow\" style=\"   \">\n\t        \n\t\n\t\t\t\t\t\t\n\t\t        \t\t\n\t\t\t\t\t\t\t\n\t\t\t<div class=\"inner relative h-full is-flex-layout flex flex-col justify-start  w-full\">\n<section class=\"Pegasus__Container w-full   relative h-fit  text-content-dark mobile-stacking-standard is-layout-flow wp-block-pegasus-container-is-layout-flow\" style=\"   \">\n\t        \n\t\n\t\t\t\t\t\t\n\t\t        \t\t\n\t\t\t\t\t\t\t<div class=\"row-background absolute w-full bottom-0 left-0 z-0 h-full \" style=\"background-color:#f9f2e8;\">\n<\/div>\n\t\t\t\t\t\n\t\t\t<div class=\"inner relative h-full is-flex-layout flex flex-col justify-start  container\">\n<div class=\"Tables pegasus-block relative\" x-data=\"{ tooltipOpen: false }\">\n  <div class=\"Tables_scroll overflow-x-auto w-full max-w-[80vw] sm:max-w-none\">\n                                                                                                                                                                                \n    <table class=\"Tables-table min-w-max table-auto overflow-hidden  Tables-padding-small\" style=\"--vertical-border-color: rgba(157, 175, 190, 0.2); --horizontal-border-color: rgba(157, 175, 190, 0.2); border-radius: 1.5rem;\">\n      \n            <thead>\n        <tr>\n                                                    <th class=\"Tables-header \" style=\"\">\n                  <div class=\"has-text-xl-font-size font-medium text-white  text-center\">\n                    Phenotypic\n                  <\/div>\n                <\/th>\n                              <th class=\"Tables-header \" style=\"\">\n                  <div class=\"has-text-xl-font-size font-medium text-white  text-center\">\n                    Target-Based\n                  <\/div>\n                <\/th>\n                                            <\/tr>\n      <\/thead>\n      \n      <tbody>\n                                                      <tr class=\"Tables-row Tables-row-odd\" style=\"background-color: #F5EFE6;\">\n              \n                                                                                              \n                \n                                                                  \n                                                  \n                \n                <td class=\"Tables-cell\" style=\"border-right: 1px solid rgba(157, 175, 190, 0.2) !important;border-bottom: 1px solid rgba(157, 175, 190, 0.2) !important;min-width: 12rem;\">\n                  <div class=\"h-full w-full flex items-center justify-center py-4\">\n                    <div class=\"has-text-base-font-size text-content-secondary font-medium text-center\">\n                      <p>Target agnostic<\/p>\n\n                    <\/div>\n                  <\/div>\n                <\/td>\n                                                                                              \n                \n                                \n                                                  \n                \n                <td class=\"Tables-cell\" style=\"border-bottom: 1px solid rgba(157, 175, 190, 0.2) !important;min-width: 12rem;\">\n                  <div class=\"h-full w-full flex items-center justify-center py-4\">\n                    <div class=\"has-text-base-font-size text-content-secondary font-medium text-center\">\n                      <p>Target specific<\/p>\n\n                    <\/div>\n                  <\/div>\n                <\/td>\n                          <\/tr>\n                                              <tr class=\"Tables-row Tables-row-even\" style=\"background-color: #FCF8F3;\">\n              \n                                                                                              \n                \n                                                                  \n                                                  \n                \n                <td class=\"Tables-cell\" style=\"border-right: 1px solid rgba(157, 175, 190, 0.2) !important;border-bottom: 1px solid rgba(157, 175, 190, 0.2) !important;min-width: 12rem;\">\n                  <div class=\"h-full w-full flex items-center justify-center py-4\">\n                    <div class=\"has-text-base-font-size text-content-secondary font-medium text-center\">\n                      <p>Disease relevant cell-based assays<\/p>\n\n                    <\/div>\n                  <\/div>\n                <\/td>\n                                                                                              \n                \n                                \n                                                  \n                \n                <td class=\"Tables-cell\" style=\"border-bottom: 1px solid rgba(157, 175, 190, 0.2) !important;min-width: 12rem;\">\n                  <div class=\"h-full w-full flex items-center justify-center py-4\">\n                    <div class=\"has-text-base-font-size text-content-secondary font-medium text-center\">\n                      <p>Molecular assays<\/p>\n\n                    <\/div>\n                  <\/div>\n                <\/td>\n                          <\/tr>\n                                              <tr class=\"Tables-row Tables-row-odd\" style=\"background-color: #F5EFE6;\">\n              \n                                                                                              \n                \n                                                                  \n                                                  \n                \n                <td class=\"Tables-cell\" style=\"border-right: 1px solid rgba(157, 175, 190, 0.2) !important;border-bottom: 1px solid rgba(157, 175, 190, 0.2) !important;min-width: 12rem;\">\n                  <div class=\"h-full w-full flex items-center justify-center py-4\">\n                    <div class=\"has-text-base-font-size text-content-secondary font-medium text-center\">\n                      <p>ID new target(s) and\u00a0<em>in situ\u00a0<\/em>mechanisms<\/p>\n\n                    <\/div>\n                  <\/div>\n                <\/td>\n                                                                                              \n                \n                                \n                                                  \n                \n                <td class=\"Tables-cell\" style=\"border-bottom: 1px solid rgba(157, 175, 190, 0.2) !important;min-width: 12rem;\">\n                  <div class=\"h-full w-full flex items-center justify-center py-4\">\n                    <div class=\"has-text-base-font-size text-content-secondary font-medium text-center\">\n                      <p>Target linked to disease cell function<\/p>\n\n                    <\/div>\n                  <\/div>\n                <\/td>\n                          <\/tr>\n                                              <tr class=\"Tables-row Tables-row-even\" style=\"background-color: #FCF8F3;\">\n              \n                                                                                              \n                \n                                                                  \n                                                  \n                \n                <td class=\"Tables-cell\" style=\"border-right: 1px solid rgba(157, 175, 190, 0.2) !important;border-bottom: 1px solid rgba(157, 175, 190, 0.2) !important;min-width: 12rem;\">\n                  <div class=\"h-full w-full flex items-center justify-center py-4\">\n                    <div class=\"has-text-base-font-size text-content-secondary font-medium text-center\">\n                      <p>More complicated assays to implement<\/p>\n\n                    <\/div>\n                  <\/div>\n                <\/td>\n                                                                                              \n                \n                                \n                                                  \n                \n                <td class=\"Tables-cell\" style=\"border-bottom: 1px solid rgba(157, 175, 190, 0.2) !important;min-width: 12rem;\">\n                  <div class=\"h-full w-full flex items-center justify-center py-4\">\n                    <div class=\"has-text-base-font-size text-content-secondary font-medium text-center\">\n                      <p>Simpler to execute<\/p>\n\n                    <\/div>\n                  <\/div>\n                <\/td>\n                          <\/tr>\n                                              <tr class=\"Tables-row Tables-row-odd\" style=\"background-color: #F5EFE6;\">\n              \n                                                                                              \n                \n                                                                  \n                \n                \n                <td class=\"Tables-cell\" style=\"border-right: 1px solid rgba(157, 175, 190, 0.2) !important;min-width: 12rem;\">\n                  <div class=\"h-full w-full flex items-center justify-center py-4\">\n                    <div class=\"has-text-base-font-size text-content-secondary font-medium text-center\">\n                      <p>Target deconvolution is challenging<\/p>\n\n                    <\/div>\n                  <\/div>\n                <\/td>\n                                                                                              \n                \n                                \n                \n                \n                <td class=\"Tables-cell\" style=\"min-width: 12rem;\">\n                  <div class=\"h-full w-full flex items-center justify-center py-4\">\n                    <div class=\"has-text-base-font-size text-content-secondary font-medium text-center\">\n                      <p>Stronger SAR with structure-guidance<\/p>\n\n                    <\/div>\n                  <\/div>\n                <\/td>\n                          <\/tr>\n                        <\/tbody>\n\n    <\/table>\n  <\/div>\n<\/div>\n\n<\/div>\n\t\t\n\t        <\/section>\n\n<\/div>\n\t\t\n\t        <\/section>\n\n\n\n<p>\u00a0<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u00a0<\/h2>\n\n\n\n<h2 class=\"wp-block-heading\">\u00a0<\/h2>\n\n\n\n<h2 class=\"wp-block-heading has-blue-300-color has-text-color has-link-color wp-elements-a95d164ad17aaa9580a56e58d53ea592\"><span style=\"font-size: 18pt;\"><strong><em>Sygnature\u2019s <a href=\"https:\/\/info.sygnaturediscovery.com\/hit-synergy\">HIT SYNERGY<\/a> platform accesses a wide range of Hit ID technologies from phenotypic HTS screening to biophysical fragment screening.<\/em><\/strong><\/span><\/h2>\n\n\n\n<p>\u00a0<\/p>\n\n\n\n<p><span style=\"font-size: 18pt;\">One of the most significant advantages of phenotypic screening is its unique ability to uncover novel drug candidates and pathways that may have been overlooked using traditional target-based approaches, especially cellular processes that can\u2019t be recapitulated in isolated molecular assays. By capturing the integrated effects of compounds on cellular systems, phenotypic assays have the potential to reveal unexpected biological interactions and identify compounds with diverse mechanisms of action. This can lead to the discovery of drugs with unique modes of action or the repurposing of existing compounds for new indications, ultimately expanding the therapeutic options available to patients. For example, Risdiplam, a new drug with a new mechanism to treat spinal muscle atrophy, was identified using a mechanism-agnostic cell system<sup>4<\/sup>.<\/span><\/p>\n\n\n\n<p>\u00a0<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter wp-image-17970\"><img decoding=\"async\" src=\"https:\/\/www.sygnaturediscovery.com\/wp-content\/uploads\/2025\/11\/240812-Risdiplam.png\" alt=\"molecular formula of Risdiplam\" class=\"wp-image-17970\"><figcaption class=\"wp-element-caption\"><strong>Figure 3<\/strong>: Skeletal structure of Risdiplam, a novel drug identified using a mechanism-agnostic cell system to treat spinal muscular atrophy.<\/figcaption><\/figure>\n\n\n\n<p>\u00a0<\/p>\n\n\n\n<p><span style=\"font-size: 18pt;\">Moreover, phenotypic screening has proven particularly valuable in the early stages of drug discovery when researchers are still exploring the biology of a disease. By examining the phenotypic effects of compounds in disease-relevant cellular models, researchers can gain insights into the underlying disease mechanisms and identify new therapeutic targets. This knowledge-driven approach not only accelerates the drug discovery process but also increases the likelihood of clinical success by focusing on biologically relevant pathways.<\/span><\/p>\n\n\n\n<p><span style=\"font-size: 18pt;\">In recent years, advances in high-throughput screening technologies, imaging techniques, and computational analysis have further enhanced the power and efficiency of phenotypic screening. Automated platforms can now rapidly screen thousands of compounds against complex cellular models, allowing researchers to identify promising candidates more quickly and cost-effectively than ever before. Additionally, sophisticated image analysis algorithms powered by machine learning and artificial intelligence enable the quantification of subtle phenotypic changes, providing valuable insights into drug mechanisms of action and cellular signalling pathways.<\/span><\/p>\n\n\n\n<p><span style=\"font-size: 18pt;\">Despite its promise, phenotypic screening also presents challenges, particularly in data interpretation and validation. Since phenotypic assays capture complex biological responses, distinguishing between compounds\u2019 direct and indirect effects can be challenging. Furthermore, phenotypic hits can operate via polypharmacology mechanisms which can be extremely challenging to optimise. Validating hits from phenotypic screens and elucidating their mechanism of action is, therefore, very important and often requires additional experiments and rigorous, innovative follow-up studies. To identify which target(s) a hit engages with, a range of \u201cdeconvolution\u201d platforms exist<sup>5<\/sup>, from photo-affinity labelling with chemical probes<sup>6<\/sup> to more indirect methods like chemogenomic profiling<sup>7<\/sup>.\u00a0<\/span><\/p>\n\n\n\n<p>\u00a0<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span style=\"font-size: 18pt;\"><strong><em>Sygnature Discovery has access to a network of hit deconvolution technologies that can validate hits and determine their on- and off-target profiles.<\/em><\/strong><\/span><\/h2>\n\n\n\n<p>\u00a0<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Case Study<\/strong><\/h3>\n\n\n\n<p><span style=\"font-size: 18pt;\">For one recent target deconvolution project at Sygnature Discovery, a client was interested in identifying novel targets that contribute to the efficacy of a known drug. A proteome-wide CETSA\u00ae (Cellular Thermal Shift Assay) identified candidate targets that we investigated individually for functional significance using small molecule and CRISPR modulation. We showed that one of these targets mediates a novel pharmacology that contributes to the desired overall cellular efficacy and, moreover, had a different SAR to other targets that contribute to the drug\u2019s efficacy.<\/span><\/p>\n\n\n\n<p><span style=\"font-size: 18pt;\">The potential of phenotypic screening to drive innovation in drug discovery is undeniable. By embracing a phenotype-first approach, researchers can uncover new therapeutic opportunities and novel molecular mechanisms, gain deeper insights into disease biology, and ultimately deliver more effective treatments to patients. As technology continues to evolve and our understanding of disease mechanisms expands, phenotypic screening will undoubtedly remain a key aspect of modern drug discovery, unlocking the full potential of the vast chemical space available to address unmet medical needs.<\/span><\/p>\n\n\n\n<p>\u00a0<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span style=\"font-size: 18pt;\"><strong>Bibliography<\/strong><\/span><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><span style=\"font-size: 14pt;\">90% of drugs fail clinical trials. https:\/\/www.asbmb.org\/asbmb-today\/opinions\/031222\/90-of-drugs-fail-clinical-trials.<\/span><\/li>\n\n\n\n<li><span style=\"font-size: 14pt;\">Vincent, F. <em>et al.<\/em> Phenotypic drug discovery: recent successes, lessons learned and new directions. <em>Nat. Rev. Drug Discov.<\/em> <strong>21<\/strong>, 899\u2013914 (2022).<\/span><\/li>\n\n\n\n<li><span style=\"font-size: 14pt;\">Gerckens, M. <em>et al.<\/em> Phenotypic drug screening in a human fibrosis model identified a novel class of antifibrotic therapeutics. <em>Sci. Adv.<\/em> <strong>7<\/strong>, eabb3673 (2021).<\/span><\/li>\n\n\n\n<li><span style=\"font-size: 14pt;\">Naryshkin, N. A. <em>et al.<\/em> SMN2 splicing modifiers improve motor function and longevity in mice with spinal muscular atrophy. 7.<\/span><\/li>\n\n\n\n<li><span style=\"font-size: 14pt;\">Tabana, Y., Babu, D., Fahlman, R., Siraki, A. G. &amp; Barakat, K. Target identification of small molecules: an overview of the current applications in drug discovery. <em>BMC Biotechnol.<\/em> <strong>23<\/strong>, 44 (2023).<\/span><\/li>\n\n\n\n<li><span style=\"font-size: 14pt;\">Kotake, Y. <em>et al.<\/em> Splicing factor SF3b as a target of the antitumor natural product pladienolide. <em>Nat. Chem. Biol.<\/em> <strong>3<\/strong>, 570\u2013575 (2007).<\/span><\/li>\n\n\n\n<li><span style=\"font-size: 14pt;\">Pries, V. <em>et al.<\/em> Target Identification and Mechanism of Action of Picolinamide and Benzamide Chemotypes with Antifungal Properties. <em>Cell Chem. Biol.<\/em> <strong>25<\/strong>, 279-290.e7 (2018).<\/span><\/li>\n<\/ol>\n\n\n\n<p>\u00a0<\/p>\n\n\n\n<p><span style=\"font-size: 24pt;\"><strong>Find out more about Sygnature Discovery\u2019s powerful hit ID platform, <\/strong><a href=\"https:\/\/info.sygnaturediscovery.com\/hit-synergy\" target=\"_blank\" rel=\"noopener\"><strong>HIT SYNERGY<\/strong><\/a><strong>, which integrates multiple advanced screening technologies to rapidly generate high-quality, structurally diverse hits, tailored to today\u2019s most challenging new target classes.<\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"featured_media":16935,"template":"","category":[790,901,813,843],"class_list":["post-16934","blog","type-blog","status-publish","has-post-thumbnail","hentry","category-bioscience","category-fbdd","category-identification-des-hit","category-tests-cellulaires"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Unlocking the Power of Phenotypic Screening in Drug Discovery - 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