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Artificial Intelligence in the Life Sciences
Number of Followers: 1

This is an Open Access Journal

Open Access journal
ISSN (Online) 2667-3185
Published by Elsevier

[2974 journals]

Modeling PROTAC degradation activity with machine learning
- Abstract: Publication date: Available online 14 July 2024Source: Artificial Intelligence in the Life SciencesAuthor(s): Stefano Ribes, Eva Nittinger, Christian Tyrchan, Rocío Mercado
Machine learning proteochemometric models for Cereblon glue activity
predictions
- Abstract: Publication date: December 2024Source: Artificial Intelligence in the Life Sciences, Volume 6Author(s): Francis J. Prael, Jiayi Cox, Noé Sturm, Peter Kutchukian, William C. Forrester, Gregory Michaud, Jutta Blank, Lingling Shen, Raquel Rodríguez-Pérez
Statistical approaches enabling technology-specific assay interference
prediction from large screening data sets
- Abstract: Publication date: Available online 27 May 2024Source: Artificial Intelligence in the Life SciencesAuthor(s): Vincenzo Palmacci, Steffen Hirte, Jorge Enrique Hernandez Gonzalez, Floriane Montanari, Johannes Kirchmair
Federated learning for predicting compound mechanism of action based on
image-data from cell painting
- Abstract: Publication date: Available online 9 May 2024Source: Artificial Intelligence in the Life SciencesAuthor(s): Li Ju, Andreas Hellander, Ola Spjuth
An integrated approach to predict activators of NRF2 - the transcription
factor for oxidative stress response
- Abstract: Publication date: June 2024Source: Artificial Intelligence in the Life Sciences, Volume 5Author(s): Yaroslav Chushak, Rebecca A. Clewell
Artificial intelligence-open science symbiosis in chemoinformatics
- Abstract: Publication date: Available online 21 March 2024Source: Artificial Intelligence in the Life SciencesAuthor(s): Filip Miljković, José L. Medina-Franco
Rationalism in the face of GPT hypes: Benchmarking the output of large
language models against human expert-curated biomedical knowledge graphs
- Abstract: Publication date: Available online 1 February 2024Source: Artificial Intelligence in the Life SciencesAuthor(s): Negin Sadat Babaiha, Sathvik Guru Rao, Jürgen Klein, Bruce Schultz, Marc Jacobs, Martin Hofmann-Apitius
Origins and progression of the polypharmacology concept in drug discovery
- Abstract: Publication date: June 2024Source: Artificial Intelligence in the Life Sciences, Volume 5Author(s): Jürgen Bajorath
Potential inconsistencies or artifacts in deriving and interpreting deep
learning models and key criteria for scientifically sound applications in
the life sciences
- Abstract: Publication date: June 2024Source: Artificial Intelligence in the Life Sciences, Volume 5Author(s): Jürgen Bajorath
Yoked Learning in Molecular Data Science
- Abstract: Publication date: Available online 2 December 2023Source: Artificial Intelligence in the Life SciencesAuthor(s): Zhixiong Li, Yan Xiang, Yujing Wen, Daniel Reker

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