{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T16:12:25Z","timestamp":1786119145292,"version":"build-2736575974"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1014581","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T00:00:00Z","timestamp":1785974400000}}],"reference-count":30,"publisher":"Public Library of Science (PLoS)","issue":"7","license":[{"start":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T00:00:00Z","timestamp":1785456000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Global Health Discovery Collaboratory","award":["INV-008612"],"award-info":[{"award-number":["INV-008612"]}]},{"name":"Global Health Discovery Collaboratory","award":["INV-043419"],"award-info":[{"award-number":["INV-043419"]}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>\n                    Surface plasmon resonance (SPR) enables label-free detection of binding kinetics and has been widely applied to the biophysical characterization of molecular interactions such as antibody-antigen binding. With the advent of high-throughput SPR (HT-SPR) instruments, hundreds of binding interactions can be detected simultaneously, combining the details of kinetic measurements with the capability of large-panel biomolecule screening. However, binding kinetics analysis for large panels of antibody or antigen often requires a combination of fitting strategies to address different types of sensorgrams. While software packages exist for SPR binding kinetics data analysis, they are associated with a number of limitations: 1) currently most of the software packages are proprietary, prohibiting widespread use; 2) most of the software packages, including open source packages, are designed primarily for low-throughput data analysis, making analyzing a large number of kinetics data sets labor-intensive; 3) the software typically requires multiple iterative user-interface interactions when analyzing large data sets. Here, we present\n                    <jats:monospace>htrSPRanalysis<\/jats:monospace>\n                    , an open source R package designed primarily for high-throughput binding kinetics data analysis, currently focusing on 1:1 binding analysis.\n                    <jats:monospace>htrSPRanalysis<\/jats:monospace>\n                    leverages the increasingly commonplace multi-core computing architecture to efficiently analyze a large number of sensorgrams with minimal user-interface interaction. It also offers automated generation of analysis output for all sensorgrams. Furthermore, beyond manual optimization of sensorgram fitting strategies,\n                    <jats:monospace>htrSPRanalysis<\/jats:monospace>\n                    accelerates the analysis process by providing automated procedures to determine the optimal concentration range, choose the optimal dissociation window for fitting, and detect bulk shift. The high-throughput functionalities and automation of fitting optimization makes\n                    <jats:monospace>htrSPRanalysis<\/jats:monospace>\n                    especially useful for speeding up data analysis to get results for implementing further steps in therapeutic antibody discovery research.\n                  <\/jats:p>","DOI":"10.1371\/journal.pcbi.1014581","type":"journal-article","created":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T17:40:59Z","timestamp":1785519659000},"page":"e1014581","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["htrSPRanalysis: An open source R package for expedited analysis of high-throughput binding kinetics data"],"prefix":"10.1371","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7351-6276","authenticated-orcid":true,"given":"Janice M.","family":"McCarthy","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georgia D.","family":"Tomaras","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S. 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