Predicting deamidation and isomerization sites in therapeutic antibodies using structure-based <i>in silico</i> approaches-Reference-Cited by-同舟云学术

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Predicting deamidation and isomerization sites in therapeutic antibodies using structure-based in silico approaches

Published:2024-03-28 Issue:1 Volume:16 Page:
ISSN:1942-0862
Container-title:mAbs
language:en
Short-container-title:mAbs

Author:

Hoffmann David¹²,Bauer Joschka¹²,Kossner Markus³,Henry Andrew⁴,Karow-Zwick Anne R.¹²,Licari Giuseppe¹²^ORCID

Affiliation:

1. Early Stage Pharmaceutical Development Biologicals, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach/Riss, Germany

2. In Silico Team, Boehringer Ingelheim, Biberach/Riss, Germany

3. Scientific Services, Chemical Computing Group, Cologne, Germany

4. Scientific Support, Chemical Computing Group, Cambridge, UK

Funder

Boehringer Ingelheim Pharma GmbH & Co KG

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19420862.2024.2333436

Reference51 articles.

1. Development of therapeutic antibodies for the treatment of diseases

2. Innovation in the pharmaceutical industry: New estimates of R&D costs

3. Clinical development success rates for investigational drugs

4. Predicting Antibody Developability Profiles Through Early Stage Discovery Screening

5. Developability Assessment During the Selection of Novel Therapeutic Antibodies

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning;Antibodies;2024-09-10

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