Development, qualification, and application of a highly efficient and robust new peak detection workflow for the LC-MS peptide mapping multi-attribute method.
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| Title: | Development, qualification, and application of a highly efficient and robust new peak detection workflow for the LC-MS peptide mapping multi-attribute method. |
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| Authors: | Pohl T; Biologics Analytical Development, Technical Research & Development, Novartis Pharma AG, Basel, Switzerland., Merkle PS; Biologics Analytical Development, Technical Research & Development, Novartis Pharma AG, Basel, Switzerland., Hudelmaier S; Biologics Analytical Development, Technical Research & Development, Novartis Pharma AG, Basel, Switzerland., Le-Minh V; Biologics Analytical Development, Technical Research & Development, Novartis Pharma AG, Basel, Switzerland., Mertens D; Professional Services, Genedata AG, Basel, Switzerland., Schmid C; Business Development, Genedata AG, Basel, Switzerland., Ossola R; Product Management, Genedata AG, Basel, Switzerland., Soenksen C; Professional Services, Genedata AG, Basel, Switzerland., Zeiler M; Project Management, Genedata GmbH, Munich, Germany., Starikov A; Software Development, Genedata GmbH, Munich, Germany., Waterman E; Software Development, Genedata GmbH, Munich, Germany., Gutenbrunner P; Software Development, Genedata GmbH, Munich, Germany., DeGraan-Weber N; Professional Services, Genedata Inc, San Francisco, CA, USA., English M; Professional Services, Genedata Inc, Lexington, MA, USA., Griaud F; Biologics Analytical Development, Technical Research & Development, Novartis Pharma AG, Basel, Switzerland. |
| Source: | MAbs [MAbs] 2025 Dec; Vol. 17 (1), pp. 2572411. Date of Electronic Publication: 2025 Oct 13. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: United States NLM ID: 101479829 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1942-0870 (Electronic) Linking ISSN: 19420862 NLM ISO Abbreviation: MAbs Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1942-0870 |
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| DOI: | 10.1080/19420862.2025.2572411 |
