Modeling PROTAC degradation activity with machine learning-Reference-Cited by-同舟云学术

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Modeling PROTAC degradation activity with machine learning

Published:2024-12 Issue: Volume:6 Page:100104
ISSN:2667-3185
Container-title:Artificial Intelligence in the Life Sciences
language:en
Short-container-title:Artificial Intelligence in the Life Sciences

Author:

Ribes Stefano^ORCID,Nittinger Eva^ORCID,Tyrchan Christian^ORCID,Mercado Rocío^ORCID

Funder

Chalmers tekniska högskola

Publisher

Elsevier BV

Reference24 articles.

1. De novo PROTAC design using graph-based deep generative models;Nori,2022

2. Graph networks for molecular design;Mercado;Mach Learn: Sci Technol,2021

3. REINVENT 2.0: an AI tool for de novo drug design;Blaschke;J Chem Inf Model,2020

4. Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets;Wu;Brief Bioinform,2021

5. PROTACs: a novel strategy for cancer therapy;Liu,2020

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