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A Mechanistic Site-Of-Action Model: A Tool for Informing Right Target, Right Compound, And Right Dose for Therapeutic Antagonistic Antibody Programs
Quantitative modeling is increasingly utilized in the drug discovery and development process, from the initial stages of target selection, through clinical studies. The modeling can provide guidance on three major questions–is this the right target, what are the right compound properties, and what i...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581070/ https://www.ncbi.nlm.nih.gov/pubmed/36303796 http://dx.doi.org/10.3389/fbinf.2021.731340 |
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author | Kapitanov, Georgi I. Chabot, Jeffrey R. Narula, Jatin Roy, Mahua Neubert, Hendrik Palandra, Joe Farrokhi, Vahid Johnson, Jay S. Webster, Robert Jones, Hannah M. |
author_facet | Kapitanov, Georgi I. Chabot, Jeffrey R. Narula, Jatin Roy, Mahua Neubert, Hendrik Palandra, Joe Farrokhi, Vahid Johnson, Jay S. Webster, Robert Jones, Hannah M. |
author_sort | Kapitanov, Georgi I. |
collection | PubMed |
description | Quantitative modeling is increasingly utilized in the drug discovery and development process, from the initial stages of target selection, through clinical studies. The modeling can provide guidance on three major questions–is this the right target, what are the right compound properties, and what is the right dose for moving the best possible candidate forward. In this manuscript, we present a site-of-action modeling framework which we apply to monoclonal antibodies against soluble targets. We give a comprehensive overview of how we construct the model and how we parametrize it and include several examples of how to apply this framework for answering the questions postulated above. The utilities and limitations of this approach are discussed. |
format | Online Article Text |
id | pubmed-9581070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95810702022-10-26 A Mechanistic Site-Of-Action Model: A Tool for Informing Right Target, Right Compound, And Right Dose for Therapeutic Antagonistic Antibody Programs Kapitanov, Georgi I. Chabot, Jeffrey R. Narula, Jatin Roy, Mahua Neubert, Hendrik Palandra, Joe Farrokhi, Vahid Johnson, Jay S. Webster, Robert Jones, Hannah M. Front Bioinform Bioinformatics Quantitative modeling is increasingly utilized in the drug discovery and development process, from the initial stages of target selection, through clinical studies. The modeling can provide guidance on three major questions–is this the right target, what are the right compound properties, and what is the right dose for moving the best possible candidate forward. In this manuscript, we present a site-of-action modeling framework which we apply to monoclonal antibodies against soluble targets. We give a comprehensive overview of how we construct the model and how we parametrize it and include several examples of how to apply this framework for answering the questions postulated above. The utilities and limitations of this approach are discussed. Frontiers Media S.A. 2021-09-03 /pmc/articles/PMC9581070/ /pubmed/36303796 http://dx.doi.org/10.3389/fbinf.2021.731340 Text en Copyright © 2021 Kapitanov, Chabot, Narula, Roy, Neubert, Palandra, Farrokhi, Johnson, Webster and Jones. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioinformatics Kapitanov, Georgi I. Chabot, Jeffrey R. Narula, Jatin Roy, Mahua Neubert, Hendrik Palandra, Joe Farrokhi, Vahid Johnson, Jay S. Webster, Robert Jones, Hannah M. A Mechanistic Site-Of-Action Model: A Tool for Informing Right Target, Right Compound, And Right Dose for Therapeutic Antagonistic Antibody Programs |
title | A Mechanistic Site-Of-Action Model: A Tool for Informing Right Target, Right Compound, And Right Dose for Therapeutic Antagonistic Antibody Programs |
title_full | A Mechanistic Site-Of-Action Model: A Tool for Informing Right Target, Right Compound, And Right Dose for Therapeutic Antagonistic Antibody Programs |
title_fullStr | A Mechanistic Site-Of-Action Model: A Tool for Informing Right Target, Right Compound, And Right Dose for Therapeutic Antagonistic Antibody Programs |
title_full_unstemmed | A Mechanistic Site-Of-Action Model: A Tool for Informing Right Target, Right Compound, And Right Dose for Therapeutic Antagonistic Antibody Programs |
title_short | A Mechanistic Site-Of-Action Model: A Tool for Informing Right Target, Right Compound, And Right Dose for Therapeutic Antagonistic Antibody Programs |
title_sort | mechanistic site-of-action model: a tool for informing right target, right compound, and right dose for therapeutic antagonistic antibody programs |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581070/ https://www.ncbi.nlm.nih.gov/pubmed/36303796 http://dx.doi.org/10.3389/fbinf.2021.731340 |
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