Development of therapeutic antibodies for the treatment of diseases

RM Lu, YC Hwang, IJ Liu, CC Lee, HZ Tsai… - Journal of biomedical …, 2020 - Springer
It has been more than three decades since the first monoclonal antibody was approved by
the United States Food and Drug Administration (US FDA) in 1986, and during this time …

Antibody structure and function: the basis for engineering therapeutics

ML Chiu, DR Goulet, A Teplyakov, GL Gilliland - Antibodies, 2019 - mdpi.com
Antibodies and antibody-derived macromolecules have established themselves as the
mainstay in protein-based therapeutic molecules (biologics). Our knowledge of the structure …

CAR T cells with dual targeting of CD19 and CD22 in pediatric and young adult patients with relapsed or refractory B cell acute lymphoblastic leukemia: a phase 1 trial

S Cordoba, S Onuoha, S Thomas, DS Pignataro… - Nature medicine, 2021 - nature.com
Chimeric antigen receptor (CAR) T cells targeting CD19 or CD22 have shown remarkable
activity in B cell acute lymphoblastic leukemia (B-ALL). The major cause of treatment failure …

Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies

R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina… - MAbs, 2022 - Taylor & Francis
Although the therapeutic efficacy and commercial success of monoclonal antibodies (mAbs)
are tremendous, the design and discovery of new candidates remain a time and cost …

BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learning

D Prihoda, J Maamary, A Waight, V Juan… - MAbs, 2022 - Taylor & Francis
Despite recent advances in transgenic animal models and display technologies,
humanization of mouse sequences remains one of the main routes for therapeutic antibody …

Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery

W Wilman, S Wróbel, W Bielska… - Briefings in …, 2022 - academic.oup.com
Antibodies are versatile molecular binders with an established and growing role as
therapeutics. Computational approaches to developing and designing these molecules are …

Computational approaches to therapeutic antibody design: established methods and emerging trends

RA Norman, F Ambrosetti, AMJJ Bonvin… - Briefings in …, 2020 - academic.oup.com
Antibodies are proteins that recognize the molecular surfaces of potentially noxious
molecules to mount an adaptive immune response or, in the case of autoimmune diseases …

Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV

A Ramon, M Ali, M Atkinson, A Saturnino… - Nature Machine …, 2024 - nature.com
Monoclonal antibodies have emerged as key therapeutics. In particular, nanobodies, small,
single-domain antibodies that are naturally expressed in camelids, are rapidly gaining …

Current advances in biopharmaceutical informatics: guidelines, impact and challenges in the computational developability assessment of antibody therapeutics

R Khetan, R Curtis, CM Deane, JT Hadsund, U Kar… - MAbs, 2022 - Taylor & Francis
Therapeutic monoclonal antibodies and their derivatives are key components of clinical
pipelines in the global biopharmaceutical industry. The availability of large datasets of …

Humanization of antibodies using a machine learning approach on large-scale repertoire data

C Marks, AM Hummer, M Chin, CM Deane - Bioinformatics, 2021 - academic.oup.com
Motivation Monoclonal antibody (mAb) therapeutics are often produced from non-human
sources (typically murine), and can therefore generate immunogenic responses in humans …