Tomasz Danel

About Tomasz Danel

Tomasz Danel, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Uniwersytet Jagiellonski, specializes in the field of deep learning, computer-aided drug design, generative models.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine learning accelerates pharmacophore-based virtual screening of MAO inhibitors

Deep learning models capture histological disease activity in Crohn’s disease and ulcerative colitis with high fidelity

Relative molecule self-attention transformer

Extended study on atomic featurization in graph neural networks for molecular property prediction

Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark

Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models

Docking-based generative approaches in the search for new drug candidates

ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction

Tomasz Danel Information

University

Position

___

Citations(all)

530

Citations(since 2020)

530

Cited By

74

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Tomasz Danel Skills & Research Interests

deep learning

computer-aided drug design

generative models

Top articles of Tomasz Danel

Machine learning accelerates pharmacophore-based virtual screening of MAO inhibitors

Scientific Reports

2024/4/8

Tomasz Danel
Tomasz Danel

H-Index: 4

Deep learning models capture histological disease activity in Crohn’s disease and ulcerative colitis with high fidelity

Journal of Crohn's and Colitis

2024/4/1

Relative molecule self-attention transformer

Journal of Cheminformatics

2024/1/3

Extended study on atomic featurization in graph neural networks for molecular property prediction

Journal of Cheminformatics

2023/9/19

Tomasz Danel
Tomasz Danel

H-Index: 4

Łukasz Maziarka
Łukasz Maziarka

H-Index: 4

Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark

Journal of Chemical Information and Modeling

2023/5/24

Tomasz Danel
Tomasz Danel

H-Index: 4

Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models

IEEE Transactions on Neural Networks and Learning Systems

2023/3/10

Docking-based generative approaches in the search for new drug candidates

2023/2/1

Tomasz Danel
Tomasz Danel

H-Index: 4

ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction

2023

Dawid Rymarczyk
Dawid Rymarczyk

H-Index: 2

Tomasz Danel
Tomasz Danel

H-Index: 4

Generation of new inhibitors of selected cytochrome P450 subtypes–In silico study

Computational and Structural Biotechnology Journal

2022/1/1

Tomasz Danel
Tomasz Danel

H-Index: 4

HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Łukasz Maziarka
Łukasz Maziarka

H-Index: 4

Tomasz Danel
Tomasz Danel

H-Index: 4

Multitask Learning Using BERT with Task-Embedded Attention

2021/7/18

Łukasz Maziarka
Łukasz Maziarka

H-Index: 4

Tomasz Danel
Tomasz Danel

H-Index: 4

Comparison of atom representations in graph neural networks for molecular property prediction

2021/7/18

Deep convolutional neural network for preliminary in-field classification of lichen species

biosystems engineering

2021/4/1

Tomasz Danel
Tomasz Danel

H-Index: 4

Processing of incomplete images by (graph) convolutional neural networks

2020/11/18

Molecule Attention Transformer

arXiv preprint arXiv:2002.08264

2020/2/19

Mol-CycleGAN: a generative model for molecular optimization

Journal of Cheminformatics

2020/1/8

De Novo Drug Design with a Docking Score Proxy

Machine Learning for Molecules Workshop at NeurIPS

2020

See List of Professors in Tomasz Danel University(Uniwersytet Jagiellonski)

Co-Authors

academic-engine