Developability assessment at early-stage discovery to enable development of antibody-derived therapeutics.

Q2 Medicine Antibody Therapeutics Pub Date : 2022-11-11 eCollection Date: 2023-01-01 DOI:10.1093/abt/tbac029
Weijie Zhang, Hao Wang, Nan Feng, Yifeng Li, Jijie Gu, Zhuozhi Wang
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Abstract

Developability refers to the likelihood that an antibody candidate will become a manufacturable, safe and efficacious drug. Although the safety and efficacy of a drug candidate will be well considered by sponsors and regulatory agencies, developability in the narrow sense can be defined as the likelihood that an antibody candidate will go smoothly through the chemistry, manufacturing and control (CMC) process at a reasonable cost and within a reasonable timeline. Developability in this sense is the focus of this review. To lower the risk that an antibody candidate with poor developability will move to the CMC stage, the candidate's developability-related properties should be screened, assessed and optimized as early as possible. Assessment of developability at the early discovery stage should be performed in a rapid and high-throughput manner while consuming small amounts of testing materials. In addition to monoclonal antibodies, bispecific antibodies, multispecific antibodies and antibody-drug conjugates, as the derivatives of monoclonal antibodies, should also be assessed for developability. Moreover, we propose that the criterion of developability is relative: expected clinical indication, and the dosage and administration route of the antibody could affect this criterion. We also recommend a general screening process during the early discovery stage of antibody-derived therapeutics. With the advance of artificial intelligence-aided prediction of protein structures and features, computational tools can be used to predict, screen and optimize the developability of antibody candidates and greatly reduce the risk of moving a suboptimal candidate to the development stage.

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在早期发现阶段进行可开发性评估,以便开发抗体衍生疗法。
可开发性是指候选抗体成为可生产、安全和有效药物的可能性。虽然候选药物的安全性和有效性会得到申办者和监管机构的充分考虑,但狭义的可开发性可定义为候选抗体以合理的成本在合理的时间内顺利通过化学、制造和控制(CMC)流程的可能性。这种意义上的可开发性是本综述的重点。为了降低开发性差的候选抗体进入 CMC 阶段的风险,应尽早筛选、评估和优化候选抗体的开发性相关特性。早期发现阶段的可开发性评估应以快速、高通量的方式进行,同时消耗少量测试材料。除单克隆抗体外,双特异性抗体、多特异性抗体和抗体-药物共轭物作为单克隆抗体的衍生物,也应进行可开发性评估。此外,我们建议可开发性标准是相对的:抗体的预期临床适应症、剂量和给药途径都会影响这一标准。我们还建议在抗体衍生疗法的早期发现阶段采用一般筛选流程。随着人工智能辅助预测蛋白质结构和特征技术的发展,计算工具可用于预测、筛选和优化候选抗体的可开发性,从而大大降低将不理想的候选抗体推向开发阶段的风险。
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来源期刊
Antibody Therapeutics
Antibody Therapeutics Medicine-Immunology and Allergy
CiteScore
8.70
自引率
0.00%
发文量
30
审稿时长
8 weeks
期刊最新文献
AI-based antibody discovery platform identifies novel, diverse, and pharmacologically active therapeutic antibodies against multiple SARS-CoV-2 strains. FcRider: a recombinant Fc nanoparticle with endogenous adjuvant activities for hybrid immunization. A pan-allelic human SIRPα-blocking antibody, ES004-B5, promotes tumor killing by enhancing macrophage phagocytosis and subsequently inducing an effective T-cell response. Correction to: A case study of a bispecific antibody manufacturability assessment and optimization during discovery stage and its implications. The process using a synthetic library that generates multiple diverse human single domain antibodies.
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