4.7 Article

Embedding Dynamics in Intrinsic Physicochemical Profiles of Market-Stage Antibody-Based Biotherapeutics

期刊

MOLECULAR PHARMACEUTICS
卷 20, 期 2, 页码 1096-1111

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.molpharmaceut.2c00838

关键词

biotherapeutics; protein flexibility; molecular dynamic simulations; ionic effects; physicochemical profile

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Adequate stability, manufacturability, and safety are crucial in bringing antibody-based biotherapeutics to the market. This study introduces a physicochemical description of 91 market-stage antibody-based biotherapeutics based on molecular properties of variable regions. The evaluation includes molecular dynamics simulations to assess conformational flexibility and the impact of different conditions on molecular interactions. A computational tool called DENIS is proposed to compare biotherapeutic candidates and predict their properties in aqueous environments.
Adequate stability, manufacturability, and safety are crucial to bringing an antibody-based biotherapeutic to the market. Following the concept of holistic in silico developability, we introduce a physicochemical description of 91 market-stage antibody-based biotherapeutics based on orthogonal molecular properties of variable regions (Fvs) embedded in different simulation environments, mimicking conditions experienced by antibodies during manufacturing, formulation, and in vivo. In this work, the evaluation of molecular properties includes conformational flexibility of the Fvs using molecular dynamics (MD) simulations. The comparison between static homology models and simulations shows that MD significantly affects certain molecular descriptors like surface molecular patches. Moreover, the structural stability of a subset of Fv regions is linked to changes in their specific molecular interactions with ions in different experimental conditions. This is supported by the observation of differences in protein melting temperatures upon addition of NaCl. A DEvelopability Navigator In Silico (DENIS) is proposed to compare mAb candidates for their similarity with market-stage biotherapeutics in terms of physicochemical properties and conformational stability. Expanding on our previous developability guidelines (Ahmed et al. Proc. Natl. Acad. Sci. 2021, 118 (37), e2020577118), the hydrodynamic radius and the protein strand ratio are introduced as two additional descriptors that enable a more comprehensive in silico characterization of biotherapeutic drug candidates. Test cases show how this approach can facilitate identification and optimization of intrinsically developable lead candidates. DENIS represents an advanced computational tool to progress biotherapeutic drug candidates from discovery into early development by predicting drug properties in different aqueous environments.

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