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ORCIDTalia B. Kimber
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2020 – today
- 2023
[b1]Talia B. Kimber:
Machine Learning for Kinase Drug Discovery. Free University of Berlin, Germany, 2023- 2022
- [j2]Dominique Sydow
, Jaime Rodríguez-Guerra, Talia B. Kimber, David Schaller, Corey J. Taylor, Yonghui Chen, Mareike Leja, Sakshi Misra, Michele Wichmann, Armin Ariamajd, Andrea Volkamer:
TeachOpenCADD 2022: open source and FAIR Python pipelines to assist in structural bioinformatics and cheminformatics research. Nucleic Acids Res. 50(W1): 753-760 (2022) - 2020
- [j1]Henry E. Webel, Talia B. Kimber, Silke Radetzki, Martin Neuenschwander, Marc Nazaré, Andrea Volkamer:
Revealing cytotoxic substructures in molecules using deep learning. J. Comput. Aided Mol. Des. 34(7): 731-746 (2020)
2010 – 2019
- 2019
- [c1]Igor V. Tetko, Pavel Karpov, Eric Bruno, Talia B. Kimber, Guillaume Godin:
Augmentation Is What You Need! ICANN (Workshop) 2019: 831-835 - 2018
- [i1]Talia B. Kimber, Sebastian Engelke, Igor V. Tetko, Eric Bruno, Guillaume Godin:
Synergy Effect between Convolutional Neural Networks and the Multiplicity of SMILES for Improvement of Molecular Prediction. CoRR abs/1812.04439 (2018)
Coauthor Index
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