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One bottleneck in binder generation is the scalable, quantitative characterization of these interactions. We present ADAPT-M (\n                  <jats:bold>A<\/jats:bold>\n                  ffinity\n                  <jats:bold>D<\/jats:bold>\n                  etermination by\n                  <jats:bold>A<\/jats:bold>\n                  daptation of\n                  <jats:bold>P<\/jats:bold>\n                  ro\n                  <jats:bold>T<\/jats:bold>\n                  ein binders for\n                  <jats:bold>M<\/jats:bold>\n                  icrofluidics), a streamlined workflow that connects yeast surface display (YSD) with\n                  <jats:italic>in vitro<\/jats:italic>\n                  affinity and kinetic measurements using the high-throughput STAMMPPING microfluidic platform. ADAPT-M quantifies\n                  <jats:italic>K<\/jats:italic>\n                  <jats:sub>d<\/jats:sub>\n                  s and dissociation kinetic parameters for hundreds of enriched protein variants in under one week without requiring hands-on protein purification. We applied ADAPT-M to a computationally designed library targeting the SARS-CoV-2 Omicron BA.1 receptor binding domain, successfully recovering and measuring\n                  <jats:italic>K<\/jats:italic>\n                  <jats:sub>d<\/jats:sub>\n                  s for most highly enriched YSD variants. Measurements correlate strongly with biolayer interferometry and yeast titration assays. ADAPT-M further enabled selection of lead candidates for structural and mutational analysis, which revealed designed paratopes were preserved despite binding to off-target epitopes. By bridging YSD screening and\n                  <jats:italic>in vitro<\/jats:italic>\n                  validation, ADAPT-M accelerates protein binder discovery and supports data-driven protein engineering.\n                <\/jats:p>","DOI":"10.1101\/2025.10.21.683815","type":"posted-content","created":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T03:40:16Z","timestamp":1761190816000},"source":"Crossref","is-referenced-by-count":1,"title":["ADAPT-M: A workflow for rapid, quantitative\n                  <i>in vitro<\/i>\n                  measurements of enriched protein libraries"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9154-2360","authenticated-orcid":false,"given":"Carla P.","family":"Perez","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4339-3353","authenticated-orcid":false,"given":"Nicole V.","family":"DelRosso","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6364-3167","authenticated-orcid":false,"given":"Cameron L.","family":"Noland","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6395-1781","authenticated-orcid":false,"given":"Udit","family":"Parekh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8871-9682","authenticated-orcid":false,"given":"Christian A.","family":"Choe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2704-8464","authenticated-orcid":false,"given":"Raphael 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