Are we ready to design oral PROTACs®?
PROTACs® are expected to strongly impact the future of drug discovery. Therefore, in this work we firstly performed a statistical study to highlight the distribution of E3 ligases and POIs collected in PROTAC-DB, the main online database focused on degraders. Moreover, since the emerging technology...
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International Association of Physical Chemists (IAPC)
2021-08-01
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doaj-74b08ec42b514660991e2c66f4beab702021-09-01T07:41:02ZengInternational Association of Physical Chemists (IAPC)ADMET and DMPK1848-77182021-08-0110.5599/admet.1037Are we ready to design oral PROTACs®? Diego Garcia Jimenez0Matteo Rossi Sebastiano1Giulia Caron2Giuseppe Ermondi3University of Torino, Molecular Biotechnology and Health Sciences Dept., CASSMedChem, via Quarello 15, 10135 Torino, ItalyUniversity of Torino, Molecular Biotechnology and Health Sciences Dept., CASSMedChem, via Quarello 15, 10135 Torino, ItalyUniversity of Torino, Molecular Biotechnology and Health Sciences Dept., CASSMedChem, via Quarello 15, 10135 Torino, ItalyUniversity of Torino, Molecular Biotechnology and Health Sciences Dept., CASSMedChem, via Quarello 15, 10135 Torino, Italy PROTACs® are expected to strongly impact the future of drug discovery. Therefore, in this work we firstly performed a statistical study to highlight the distribution of E3 ligases and POIs collected in PROTAC-DB, the main online database focused on degraders. Moreover, since the emerging technology of protein degradation deals with large and complex chemical structures, the second part of the paper focuses on how to set up a property-based design strategy to obtain oral degraders. For this purpose, we calculated a pool of seven previously ad hoc selected 2D descriptors for the 2258 publicly available degraders in PROTAC-DB (average values: MW= 972.9 Da, nC= 49.5, NAR= 4.5, PHI= 17.3, nHDon= 4.5, nHAcc= 17.7 and TPSA= 240 Å2) and compared them to a dataset of 50 bRo5 orally approved drugs. Then, a chemical space based on nC, PHI and TPSA was built and subregions with optimal permeability and bioavailability were identified. Bioavailable degraders (ARV-110 and ARV-471) tend to be closer to the Ro5 region, using mainly semi-rigid linkers. Permeable degraders, on the other hand, are placed in an average central region of the chemical space but chameleonicity could allow them to be located closer to the two Arvinas compounds. ©2021 by the authors. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). ©2021 by the authors. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). https://pub.iapchem.org/ojs/index.php/admet/article/view/1037 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Diego Garcia Jimenez Matteo Rossi Sebastiano Giulia Caron Giuseppe Ermondi |
spellingShingle |
Diego Garcia Jimenez Matteo Rossi Sebastiano Giulia Caron Giuseppe Ermondi Are we ready to design oral PROTACs®? ADMET and DMPK |
author_facet |
Diego Garcia Jimenez Matteo Rossi Sebastiano Giulia Caron Giuseppe Ermondi |
author_sort |
Diego Garcia Jimenez |
title |
Are we ready to design oral PROTACs®? |
title_short |
Are we ready to design oral PROTACs®? |
title_full |
Are we ready to design oral PROTACs®? |
title_fullStr |
Are we ready to design oral PROTACs®? |
title_full_unstemmed |
Are we ready to design oral PROTACs®? |
title_sort |
are we ready to design oral protacs®? |
publisher |
International Association of Physical Chemists (IAPC) |
series |
ADMET and DMPK |
issn |
1848-7718 |
publishDate |
2021-08-01 |
description |
PROTACs® are expected to strongly impact the future of drug discovery. Therefore, in this work we firstly performed a statistical study to highlight the distribution of E3 ligases and POIs collected in PROTAC-DB, the main online database focused on degraders. Moreover, since the emerging technology of protein degradation deals with large and complex chemical structures, the second part of the paper focuses on how to set up a property-based design strategy to obtain oral degraders. For this purpose, we calculated a pool of seven previously ad hoc selected 2D descriptors for the 2258 publicly available degraders in PROTAC-DB (average values: MW= 972.9 Da, nC= 49.5, NAR= 4.5, PHI= 17.3, nHDon= 4.5, nHAcc= 17.7 and TPSA= 240 Å2) and compared them to a dataset of 50 bRo5 orally approved drugs. Then, a chemical space based on nC, PHI and TPSA was built and subregions with optimal permeability and bioavailability were identified. Bioavailable degraders (ARV-110 and ARV-471) tend to be closer to the Ro5 region, using mainly semi-rigid linkers. Permeable degraders, on the other hand, are placed in an average central region of the chemical space but chameleonicity could allow them to be located closer to the two Arvinas compounds.
©2021 by the authors. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
©2021 by the authors. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
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url |
https://pub.iapchem.org/ojs/index.php/admet/article/view/1037 |
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