CDRxAb: Antibody Small-Molecule Conjugates with Computationally Designed Target-Binding Synergy

<p>Antibody-drug conjugates (ADCs), or chimeric modalities in general, combine the advantages and offset the flaws of their constituent parts to achieve a broader target space than traditional approaches of pharmaceutical development. My project combines the concept of ADCs with the full atomi...

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Main Author: Wang, Jingzhou
Published: 2021
Online Access: Wang, Jingzhou (2021) CDRxAb: Antibody Small-Molecule Conjugates with Computationally Designed Target-Binding Synergy. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/p0kj-9d56. https://resolver.caltech.edu/CaltechTHESIS:05282021-080632319 <https://resolver.caltech.edu/CaltechTHESIS:05282021-080632319>
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spelling ndltd-CALTECH-oai-thesis.library.caltech.edu-141892021-09-24T05:01:41Z https://thesis.library.caltech.edu/14189/ CDRxAb: Antibody Small-Molecule Conjugates with Computationally Designed Target-Binding Synergy Wang, Jingzhou <p>Antibody-drug conjugates (ADCs), or chimeric modalities in general, combine the advantages and offset the flaws of their constituent parts to achieve a broader target space than traditional approaches of pharmaceutical development. My project combines the concept of ADCs with the full atomic simulation capability of computational protein design to define a new class of molecular recognition agents: CDR-extended antibodies, abbreviated as CDRxAbs. A CDRxAb incorporates a small-molecule binding event into <i>de novo</i> designed antibody/target interactions, creating antibody small-molecule conjugates that bind tighter against the target of the small molecule than the small molecule itself. In a proof-of-concept study using monomeric streptavidin/biotin pairs at either a nanomolar or micromolar-level affinity, nanobody-biotin conjugates were efficiently designed to exhibit &gt;20-fold affinity improvement against the model protein targets, with stepwise optimization of binding kinetics and the overall stability. A yeast display-based workflow was subsequently developed to further improve the off rate of the best designed conjugate by another 6 folds. By fully incorporating the chemical space of immunoglobulins into the optimization of small molecule binding events, the workflow explored in this work could be potentially used as a generalizable new method to optimize small molecule-based therapeutics, by exploring a previously uncharted chemical space and the related target space. Chapter 1 reviews background information to justify the proposed CDRxAb molecular construct. Chapter 2 documents the detailed computational design process that generated the 10 conjugates, of which the characterization and discussion are elaborated in Chapter 3. Appendix I documents a slightly related ongoing work that uses computational design to improve existing antibody therapeutics.</p> 2021 Thesis NonPeerReviewed Wang, Jingzhou (2021) CDRxAb: Antibody Small-Molecule Conjugates with Computationally Designed Target-Binding Synergy. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/p0kj-9d56. https://resolver.caltech.edu/CaltechTHESIS:05282021-080632319 <https://resolver.caltech.edu/CaltechTHESIS:05282021-080632319> https://resolver.caltech.edu/CaltechTHESIS:05282021-080632319 CaltechTHESIS:05282021-080632319 10.7907/p0kj-9d56
collection NDLTD
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description <p>Antibody-drug conjugates (ADCs), or chimeric modalities in general, combine the advantages and offset the flaws of their constituent parts to achieve a broader target space than traditional approaches of pharmaceutical development. My project combines the concept of ADCs with the full atomic simulation capability of computational protein design to define a new class of molecular recognition agents: CDR-extended antibodies, abbreviated as CDRxAbs. A CDRxAb incorporates a small-molecule binding event into <i>de novo</i> designed antibody/target interactions, creating antibody small-molecule conjugates that bind tighter against the target of the small molecule than the small molecule itself. In a proof-of-concept study using monomeric streptavidin/biotin pairs at either a nanomolar or micromolar-level affinity, nanobody-biotin conjugates were efficiently designed to exhibit &gt;20-fold affinity improvement against the model protein targets, with stepwise optimization of binding kinetics and the overall stability. A yeast display-based workflow was subsequently developed to further improve the off rate of the best designed conjugate by another 6 folds. By fully incorporating the chemical space of immunoglobulins into the optimization of small molecule binding events, the workflow explored in this work could be potentially used as a generalizable new method to optimize small molecule-based therapeutics, by exploring a previously uncharted chemical space and the related target space. Chapter 1 reviews background information to justify the proposed CDRxAb molecular construct. Chapter 2 documents the detailed computational design process that generated the 10 conjugates, of which the characterization and discussion are elaborated in Chapter 3. Appendix I documents a slightly related ongoing work that uses computational design to improve existing antibody therapeutics.</p>
author Wang, Jingzhou
spellingShingle Wang, Jingzhou
CDRxAb: Antibody Small-Molecule Conjugates with Computationally Designed Target-Binding Synergy
author_facet Wang, Jingzhou
author_sort Wang, Jingzhou
title CDRxAb: Antibody Small-Molecule Conjugates with Computationally Designed Target-Binding Synergy
title_short CDRxAb: Antibody Small-Molecule Conjugates with Computationally Designed Target-Binding Synergy
title_full CDRxAb: Antibody Small-Molecule Conjugates with Computationally Designed Target-Binding Synergy
title_fullStr CDRxAb: Antibody Small-Molecule Conjugates with Computationally Designed Target-Binding Synergy
title_full_unstemmed CDRxAb: Antibody Small-Molecule Conjugates with Computationally Designed Target-Binding Synergy
title_sort cdrxab: antibody small-molecule conjugates with computationally designed target-binding synergy
publishDate 2021
url Wang, Jingzhou (2021) CDRxAb: Antibody Small-Molecule Conjugates with Computationally Designed Target-Binding Synergy. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/p0kj-9d56. https://resolver.caltech.edu/CaltechTHESIS:05282021-080632319 <https://resolver.caltech.edu/CaltechTHESIS:05282021-080632319>
work_keys_str_mv AT wangjingzhou cdrxabantibodysmallmoleculeconjugateswithcomputationallydesignedtargetbindingsynergy
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