Cargando…
Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery
AlphaFold2 has hallmarked a generational improvement in protein structure prediction. In particular, advances in antibody structure prediction have provided a highly translatable impact on drug discovery. Though AlphaFold2 laid the groundwork for all proteins, antibody-specific applications require...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361724/ https://www.ncbi.nlm.nih.gov/pubmed/37484529 http://dx.doi.org/10.3389/fmolb.2023.1214424 |
_version_ | 1785076273289101312 |
---|---|
author | Jaszczyszyn, Igor Bielska, Weronika Gawlowski, Tomasz Dudzic, Pawel Satława, Tadeusz Kończak, Jarosław Wilman, Wiktoria Janusz, Bartosz Wróbel, Sonia Chomicz, Dawid Galson, Jacob D. Leem, Jinwoo Kelm, Sebastian Krawczyk, Konrad |
author_facet | Jaszczyszyn, Igor Bielska, Weronika Gawlowski, Tomasz Dudzic, Pawel Satława, Tadeusz Kończak, Jarosław Wilman, Wiktoria Janusz, Bartosz Wróbel, Sonia Chomicz, Dawid Galson, Jacob D. Leem, Jinwoo Kelm, Sebastian Krawczyk, Konrad |
author_sort | Jaszczyszyn, Igor |
collection | PubMed |
description | AlphaFold2 has hallmarked a generational improvement in protein structure prediction. In particular, advances in antibody structure prediction have provided a highly translatable impact on drug discovery. Though AlphaFold2 laid the groundwork for all proteins, antibody-specific applications require adjustments tailored to these molecules, which has resulted in a handful of deep learning antibody structure predictors. Herein, we review the recent advances in antibody structure prediction and relate them to their role in advancing biologics discovery. |
format | Online Article Text |
id | pubmed-10361724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103617242023-07-22 Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery Jaszczyszyn, Igor Bielska, Weronika Gawlowski, Tomasz Dudzic, Pawel Satława, Tadeusz Kończak, Jarosław Wilman, Wiktoria Janusz, Bartosz Wróbel, Sonia Chomicz, Dawid Galson, Jacob D. Leem, Jinwoo Kelm, Sebastian Krawczyk, Konrad Front Mol Biosci Molecular Biosciences AlphaFold2 has hallmarked a generational improvement in protein structure prediction. In particular, advances in antibody structure prediction have provided a highly translatable impact on drug discovery. Though AlphaFold2 laid the groundwork for all proteins, antibody-specific applications require adjustments tailored to these molecules, which has resulted in a handful of deep learning antibody structure predictors. Herein, we review the recent advances in antibody structure prediction and relate them to their role in advancing biologics discovery. Frontiers Media S.A. 2023-07-07 /pmc/articles/PMC10361724/ /pubmed/37484529 http://dx.doi.org/10.3389/fmolb.2023.1214424 Text en Copyright © 2023 Jaszczyszyn, Bielska, Gawlowski, Dudzic, Satława, Kończak, Wilman, Janusz, Wróbel, Chomicz, Galson, Leem, Kelm and Krawczyk. 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 | Molecular Biosciences Jaszczyszyn, Igor Bielska, Weronika Gawlowski, Tomasz Dudzic, Pawel Satława, Tadeusz Kończak, Jarosław Wilman, Wiktoria Janusz, Bartosz Wróbel, Sonia Chomicz, Dawid Galson, Jacob D. Leem, Jinwoo Kelm, Sebastian Krawczyk, Konrad Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery |
title | Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery |
title_full | Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery |
title_fullStr | Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery |
title_full_unstemmed | Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery |
title_short | Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery |
title_sort | structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361724/ https://www.ncbi.nlm.nih.gov/pubmed/37484529 http://dx.doi.org/10.3389/fmolb.2023.1214424 |
work_keys_str_mv | AT jaszczyszynigor structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT bielskaweronika structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT gawlowskitomasz structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT dudzicpawel structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT satławatadeusz structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT konczakjarosław structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT wilmanwiktoria structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT januszbartosz structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT wrobelsonia structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT chomiczdawid structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT galsonjacobd structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT leemjinwoo structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT kelmsebastian structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery AT krawczykkonrad structuralmodelingofantibodyvariableregionsusingdeeplearningprogressandperspectivesondrugdiscovery |