  {"id":1117,"date":"2024-07-17T14:17:23","date_gmt":"2024-07-17T19:17:23","guid":{"rendered":"https:\/\/uwm.edu\/drug-discovery\/?p=1117"},"modified":"2026-02-27T08:57:16","modified_gmt":"2026-02-27T14:57:16","slug":"professor-saha-received-support-from-the-uwm-research-foundation-to-develop-new-computational-tools-to-identify-protein-protein-inhibitors","status":"publish","type":"post","link":"https:\/\/uwm.edu\/drug-discovery\/professor-saha-received-support-from-the-uwm-research-foundation-to-develop-new-computational-tools-to-identify-protein-protein-inhibitors\/","title":{"rendered":"Professor Saha received support from the 51ÁÔÆæ Research Foundation to develop new computational tools to identify protein-protein inhibitors"},"content":{"rendered":"\n<p>Protein-protein interactions (PPI) stand at the heart of numerous metabolic pathways and signaling networks, intricately linked to various diseases, marking them as prime targets for therapeutic intervention. Despite their significance, these interaction have eluded drug discovery due to their complexity and transient nature of the interface interactions. Professor Saha and his team have developed new computational methods to simulate protein-protein interactions paving the way to new approaches to identify protein-protein inhibitors.<\/p>\n\n\n\n<figure class=\"alignleft uwm-c-img--left\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/uwm.edu\/drug-discovery\/wp-content\/uploads\/sites\/390\/2024\/07\/IL4-IL4R-300x300.jpeg\" alt=\"Computer image of protein compounds\" class=\"wp-image-1119\" srcset=\"https:\/\/uwm.edu\/drug-discovery\/wp-content\/uploads\/sites\/390\/2024\/07\/IL4-IL4R-300x300.jpeg 300w, https:\/\/uwm.edu\/drug-discovery\/wp-content\/uploads\/sites\/390\/2024\/07\/IL4-IL4R-150x150.jpeg 150w, https:\/\/uwm.edu\/drug-discovery\/wp-content\/uploads\/sites\/390\/2024\/07\/IL4-IL4R.jpeg 500w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p>The catalyst grant, provided by the 51ÁÔÆæ Research Foundation, supports Prof. Saha to further our understanding of PPIs through a novel computational strategy. This strategy centers on developing a machine learning algorithm capable of predicting PPI binding free energies and a quantum chemistry and molecular dynamics-driven methods for mapping out the multidimensional free energy landscapes to decipher the intricate dynamics in PPIs. These landscapes will reveal the subtle conformational shifts in PPIs, aiding in the identification of the global minimum structures\u2014a feat often unachievable through experimental techniques alone. These structures will serve as foundations for the discovery of small molecules and antibodies targeting various PPIs. By providing a comprehensive software solution for PPIs, he envisions paving the way towards novel therapeutic strategies for a variety of diseases currently lacking effective treatments.<\/p>\n\n\n\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Protein-protein interactions (PPI) stand at the heart of numerous metabolic pathways and signaling networks, intricately linked to various diseases, marking them as prime targets for therapeutic intervention. Despite their significance, these interaction have eluded drug discovery due to their complexity &hellip;<\/p>\n","protected":false},"author":396,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","uwm_wg_additional_authors":[]},"categories":[8],"tags":[],"class_list":["post-1117","post","type-post","status-publish","format-standard","hentry","category-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Milwaukee Institute for Drug Discovery<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/uwm.edu\/drug-discovery\/professor-saha-received-support-from-the-uwm-research-foundation-to-develop-new-computational-tools-to-identify-protein-protein-inhibitors\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Professor Saha received support from the 51ÁÔÆæ Research Foundation to develop new computational tools to identify protein-protein inhibitors\" \/>\n<meta property=\"og:description\" content=\"Protein-protein interactions (PPI) stand at the heart of numerous metabolic pathways and signaling networks, intricately linked to various diseases, marking them as prime targets for therapeutic intervention. 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