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Emily K Makowski

Showing results (1-10 of 23) with videos related to

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Cell Systems|August 17, 2023
Simplifying complex antibody engineering using machine learningEmily K Makowski, Hsin-Ting Chen, Peter M Tessier
Current Opinion in Biotechnology|December 10, 2021
Improving antibody drug development using bionanotechnologyEmily K Makowski, John S Schardt, Peter M Tessier
Mabs|July 27, 2021
Discovery-stage identification of drug-like antibodies using emerging experimental and computational methodsEmily K Makowski, Lina Wu, Priyanka Gupta, et al.
Mabs|July 27, 2021
Highly sensitive detection of antibody nonspecific interactions using flow cytometryEmily K Makowski, Lina Wu, Alec A Desai, et al.
Bioinformatics (Oxford, England)|July 21, 2023
Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing dataMatthew D Smith, Marshall A Case, Emily K Makowski, et al.
Biorxiv : the Preprint Server for Biology|July 28, 2023
Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing dataMatthew D Smith, Marshall A Case, Emily K Makowski, et al.
Plos Computational Biology|May 31, 2022
Mutational analysis of SARS-CoV-2 variants of concern reveals key tradeoffs between receptor affinity and antibody escapeEmily K Makowski, John S Schardt, Matthew D Smith, et al.
Molecular Pharmaceutics|February 2, 2022
Antibodies with Weakly Basic Isoelectric Points Minimize Trade-offs between Formulation and Physiological Colloidal PropertiesPriyanka Gupta, Emily K Makowski, Sandeep Kumar, et al.
Molecular Pharmaceutics|June 9, 2021
Ultradilute Measurements of Self-Association for the Identification of Antibodies with Favorable High-Concentration Solution PropertiesCharles G Starr, Emily K Makowski, Lina Wu, et al.
Mabs|March 13, 2024
Reduction of monoclonal antibody viscosity using interpretable machine learningEmily K Makowski, Hsin-Ting Chen, Tiexin Wang, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Cell Systems|August 17, 2023
Simplifying complex antibody engineering using machine learningEmily K Makowski, Hsin-Ting Chen, Peter M Tessier
Current Opinion in Biotechnology|December 10, 2021
Improving antibody drug development using bionanotechnologyEmily K Makowski, John S Schardt, Peter M Tessier
Mabs|July 27, 2021
Discovery-stage identification of drug-like antibodies using emerging experimental and computational methodsEmily K Makowski, Lina Wu, Priyanka Gupta, et al.
Mabs|July 27, 2021
Highly sensitive detection of antibody nonspecific interactions using flow cytometryEmily K Makowski, Lina Wu, Alec A Desai, et al.
Bioinformatics (Oxford, England)|July 21, 2023
Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing dataMatthew D Smith, Marshall A Case, Emily K Makowski, et al.
Biorxiv : the Preprint Server for Biology|July 28, 2023
Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing dataMatthew D Smith, Marshall A Case, Emily K Makowski, et al.
Plos Computational Biology|May 31, 2022
Mutational analysis of SARS-CoV-2 variants of concern reveals key tradeoffs between receptor affinity and antibody escapeEmily K Makowski, John S Schardt, Matthew D Smith, et al.
Molecular Pharmaceutics|February 2, 2022
Antibodies with Weakly Basic Isoelectric Points Minimize Trade-offs between Formulation and Physiological Colloidal PropertiesPriyanka Gupta, Emily K Makowski, Sandeep Kumar, et al.
Molecular Pharmaceutics|June 9, 2021
Ultradilute Measurements of Self-Association for the Identification of Antibodies with Favorable High-Concentration Solution PropertiesCharles G Starr, Emily K Makowski, Lina Wu, et al.
Mabs|March 13, 2024
Reduction of monoclonal antibody viscosity using interpretable machine learningEmily K Makowski, Hsin-Ting Chen, Tiexin Wang, et al.
Pageof 3