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Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics.
Lai, Pin-Kuang; Gallegos, Austin; Mody, Neil; Sathish, Hasige A; Trout, Bernhardt L.
Affiliation
  • Lai PK; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Gallegos A; Department of Chemical Engineering and Materials Science, Stevens Institute of Technology, Hoboken, New Jersey, USA.
  • Mody N; Dosage Form Design and Development, AstraZeneca, Gaithersburg, Maryland, USA.
  • Sathish HA; Dosage Form Design and Development, AstraZeneca, Gaithersburg, Maryland, USA.
  • Trout BL; Dosage Form Design and Development, AstraZeneca, Gaithersburg, Maryland, USA.
MAbs ; 14(1): 2026208, 2022.
Article in En | MEDLINE | ID: mdl-35075980
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Molecular Dynamics Simulation / Protein Aggregates / Machine Learning / Antibodies, Monoclonal Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: MAbs Journal subject: ALERGIA E IMUNOLOGIA Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
Print
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Molecular Dynamics Simulation / Protein Aggregates / Machine Learning / Antibodies, Monoclonal Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: MAbs Journal subject: ALERGIA E IMUNOLOGIA Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States