Predictive Modeling of PROTAC Cell Permeability with Machine Learning-Reference-Cited by-同舟云学术

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Predictive Modeling of PROTAC Cell Permeability with Machine Learning

Published:2023-02-01 Issue:6 Volume:8 Page:5901-5916
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Poongavanam Vasanthanathan¹^ORCID,Kölling Florian²,Giese Anja³,Göller Andreas H.²^ORCID,Lehmann Lutz⁴,Meibom Daniel⁴^ORCID,Kihlberg Jan¹^ORCID

Affiliation:

1. Department of Chemistry-BMC, Box 576, Uppsala University, 75123Uppsala, Sweden

2. Computational Molecular Design, Bayer AG, 42096Wuppertal, Germany

3. Drug Discovery Sciences, Bayer AG, 13342Berlin, Germany

4. Drug Discovery Sciences, Bayer AG, 42113Wuppertal, Germany

Funder

Vetenskapsrådet

Bayer

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c07717

Reference41 articles.

1. PROTAC targeted protein degraders: the past is prologue

2. PROTAC-DB: an online database of PROTACs

3. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings 1PII of original article: S0169-409X(96)00423-1. The article was originally published in Advanced Drug Delivery Reviews 23 (1997) 3–25. 1

4. Molecular Properties That Influence the Oral Bioavailability of Drug Candidates

5. Proteolysis targeting chimeras (PROTACs) in ‘beyond rule-of-five’ chemical space: Recent progress and future challenges

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1. FLT3-PROTACs for combating AML resistance: Analytical overview on chimeric agents developed, challenges, and future perspectives;European Journal of Medicinal Chemistry;2024-11

2. Synthesis, SAR, and application of JQ1 analogs as PROTACs for cancer therapy;Bioorganic & Medicinal Chemistry;2024-10

3. Precision oncology revolution: CRISPR-Cas9 and PROTAC technologies unleashed;Frontiers in Genetics;2024-07-31

4. Exploring the chemical space of orally bioavailable PROTACs;Drug Discovery Today;2024-04

5. Artificial Intelligence and Machine Learning for Exploring PROTAC in Underutilized Cells;PROTAC-Mediated Protein Degradation: A Paradigm Shift in Cancer Therapeutics;2024

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