Five computational developability guidelines for therapeutic antibody profiling

Therapeutic mAbs must not only bind to their target but must also be free from “developability issues” such as poor stability or high levels of aggregation. While small-molecule drug discovery benefits from Lipinski’s rule of five to guide the selection of molecules with appropriate biophysical prop...

Full description

Bibliographic Details
Main Authors: Raybould, MIJ, Marks, C, Krawczyk, K, Taddese, B, Nowak, J, Lewis, AP, Bujotzek, A, Shi, J, Deane, C
Format: Journal article
Published: National Academy of Sciences 2019
_version_ 1826283754865295360
author Raybould, MIJ
Marks, C
Krawczyk, K
Taddese, B
Nowak, J
Lewis, AP
Bujotzek, A
Shi, J
Deane, C
author_facet Raybould, MIJ
Marks, C
Krawczyk, K
Taddese, B
Nowak, J
Lewis, AP
Bujotzek, A
Shi, J
Deane, C
author_sort Raybould, MIJ
collection OXFORD
description Therapeutic mAbs must not only bind to their target but must also be free from “developability issues” such as poor stability or high levels of aggregation. While small-molecule drug discovery benefits from Lipinski’s rule of five to guide the selection of molecules with appropriate biophysical properties, there is currently no in silico analog for antibody design. Here, we model the variable domain structures of a large set of post-phase-I clinical-stage antibody therapeutics (CSTs) and calculate in silico metrics to estimate their typical properties. In each case, we contextualize the CST distribution against a snapshot of the human antibody gene repertoire. We describe guideline values for five metrics thought to be implicated in poor developability: the total length of the complementarity-determining regions (CDRs), the extent and magnitude of surface hydrophobicity, positive charge and negative charge in the CDRs, and asymmetry in the net heavy- and light-chain surface charges. The guideline cutoffs for each property were derived from the values seen in CSTs, and a flagging system is proposed to identify nonconforming candidates. On two mAb drug discovery sets, we were able to selectively highlight sequences with developability issues. We make available the Therapeutic Antibody Profiler (TAP), a computational tool that builds downloadable homology models of variable domain sequences, tests them against our five developability guidelines, and reports potential sequence liabilities and canonical forms. TAP is freely available at opig.stats.ox.ac.uk/webapps/sabdab-sabpred/TAP.php.
first_indexed 2024-03-07T01:03:40Z
format Journal article
id oxford-uuid:8a952eb2-108c-4a19-b181-bb9f89b4727c
institution University of Oxford
last_indexed 2024-03-07T01:03:40Z
publishDate 2019
publisher National Academy of Sciences
record_format dspace
spelling oxford-uuid:8a952eb2-108c-4a19-b181-bb9f89b4727c2022-03-26T22:32:30ZFive computational developability guidelines for therapeutic antibody profilingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8a952eb2-108c-4a19-b181-bb9f89b4727cSymplectic Elements at OxfordNational Academy of Sciences2019Raybould, MIJMarks, CKrawczyk, KTaddese, BNowak, JLewis, APBujotzek, AShi, JDeane, CTherapeutic mAbs must not only bind to their target but must also be free from “developability issues” such as poor stability or high levels of aggregation. While small-molecule drug discovery benefits from Lipinski’s rule of five to guide the selection of molecules with appropriate biophysical properties, there is currently no in silico analog for antibody design. Here, we model the variable domain structures of a large set of post-phase-I clinical-stage antibody therapeutics (CSTs) and calculate in silico metrics to estimate their typical properties. In each case, we contextualize the CST distribution against a snapshot of the human antibody gene repertoire. We describe guideline values for five metrics thought to be implicated in poor developability: the total length of the complementarity-determining regions (CDRs), the extent and magnitude of surface hydrophobicity, positive charge and negative charge in the CDRs, and asymmetry in the net heavy- and light-chain surface charges. The guideline cutoffs for each property were derived from the values seen in CSTs, and a flagging system is proposed to identify nonconforming candidates. On two mAb drug discovery sets, we were able to selectively highlight sequences with developability issues. We make available the Therapeutic Antibody Profiler (TAP), a computational tool that builds downloadable homology models of variable domain sequences, tests them against our five developability guidelines, and reports potential sequence liabilities and canonical forms. TAP is freely available at opig.stats.ox.ac.uk/webapps/sabdab-sabpred/TAP.php.
spellingShingle Raybould, MIJ
Marks, C
Krawczyk, K
Taddese, B
Nowak, J
Lewis, AP
Bujotzek, A
Shi, J
Deane, C
Five computational developability guidelines for therapeutic antibody profiling
title Five computational developability guidelines for therapeutic antibody profiling
title_full Five computational developability guidelines for therapeutic antibody profiling
title_fullStr Five computational developability guidelines for therapeutic antibody profiling
title_full_unstemmed Five computational developability guidelines for therapeutic antibody profiling
title_short Five computational developability guidelines for therapeutic antibody profiling
title_sort five computational developability guidelines for therapeutic antibody profiling
work_keys_str_mv AT raybouldmij fivecomputationaldevelopabilityguidelinesfortherapeuticantibodyprofiling
AT marksc fivecomputationaldevelopabilityguidelinesfortherapeuticantibodyprofiling
AT krawczykk fivecomputationaldevelopabilityguidelinesfortherapeuticantibodyprofiling
AT taddeseb fivecomputationaldevelopabilityguidelinesfortherapeuticantibodyprofiling
AT nowakj fivecomputationaldevelopabilityguidelinesfortherapeuticantibodyprofiling
AT lewisap fivecomputationaldevelopabilityguidelinesfortherapeuticantibodyprofiling
AT bujotzeka fivecomputationaldevelopabilityguidelinesfortherapeuticantibodyprofiling
AT shij fivecomputationaldevelopabilityguidelinesfortherapeuticantibodyprofiling
AT deanec fivecomputationaldevelopabilityguidelinesfortherapeuticantibodyprofiling