ArticlemAbs2025
Integrating computational simulation and high-throughput screening for the development of robust ultra-high concentration formulation of IgG1 antibody.
Article in mAbs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
14 authors.
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Abstract
High-viscosity monoclonal antibody (mAb) formulations impede injection, complicate manufacturing, and may affect drug stability and patient outcomes. Nevertheless, these issues can be effectively mitigated through the judicious selection of appropriate excipients and meticulous formulation optimization. In this study, we present an innovative approach that integrates computational simulation with high-throughput screening to enhance the efficiency of high-concentration mAb formulation development. Specifically, we introduce
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.