Biosimilarity Assessments of Model IgG1-Fc Glycoforms Using a Machine Learning Approach

Journal of Pharmaceutical Sciences

Volumn 105, Issue 2, 2016, Pages 602-612

  Kim, Jae Hyun ^a   Joshi, Sangeeta B ^a   Tolbert, Thomas J ^a   Middaugh, C Russell ^a   Volkin, David B ^a   Smalter Hall, Aaron ^a  

^a UNIVERSITY OF KANSAS   (United States)

Author keywords

biosimilarity; comparability; Fc; formulation; glycoforms; mAbs; machine learning; protein; stability

Indexed keywords

BIOSIMILAR AGENT; IMMUNOGLOBULIN G1; IMMUNOGLOBULIN G1 FRAGMENT CRYSTALLIZABLE GLYCOFORM; UNCLASSIFIED DRUG; IMMUNOGLOBULIN FC FRAGMENT; IMMUNOGLOBULIN G;

ANALYTIC METHOD; ARTICLE; DISCRIMINANT ANALYSIS; GLYCOSYLATION; K NEAREST NEIGHBOR; MACHINE LEARNING; PH; SUPPORT VECTOR MACHINE; TEMPERATURE; CHEMISTRY; PROTEIN STABILITY; TRENDS;

BIOSIMILAR PHARMACEUTICALS; IMMUNOGLOBULIN FC FRAGMENTS; IMMUNOGLOBULIN G; MACHINE LEARNING; PROTEIN STABILITY;

EID: 84964506803     PISSN: 00223549     EISSN: 15206017     Source Type: Journal    
DOI: 10.1016/j.xphs.2015.10.013     Document Type: Article

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