Werngard Czechtizky

According to our database, Werngard Czechtizky authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings.

Josef Hanke, Sebastian Pujalte Ojeda, Shengyu Zhang, Werngard Czechtizky, Leonardo De Maria, Michele Vendruscolo

CoRR, March, 2026

Exploring Secondary Structure Predictions for RNA-Targeted Drug Discovery: Power and Challenges.

Zhengyue Zhang, Gaia Dolcetti, Christian Tyrchan, Leonardo De Maria, Giovanni Bussi, Werngard Czechtizky

J. Chem. Inf. Model., 2026

2025

AI-Augmented R-Group Exploration in Medicinal Chemistry.

Hongtao Zhao, Karolina Kwapien, Eva Nittinger, Christian Tyrchan, Magnus Nilsson, Susanne Berglund, Werngard Czechtizky

J. Chem. Inf. Model., 2025

2024

Evaluation of reinforcement learning in transformer-based molecular design.

Jiazhen He, Alessandro Tibo, Jon Paul Janet, Eva Nittinger, Christian Tyrchan, Werngard Czechtizky, Ola Engkvist

J. Cheminformatics, December, 2024

PepINVENT: Generative peptide design beyond the natural amino acids.

Gökçe Geylan, Jon Paul Janet, Alessandro Tibo, Jiazhen He, Atanas Patronov, Mikhail Kabeshov, Florian David, Werngard Czechtizky, Ola Engkvist, Leonardo De Maria

CoRR, 2024

2022

Transformer-based molecular optimization beyond matched molecular pairs.

Jiazhen He, Eva Nittinger, Christian Tyrchan, Werngard Czechtizky, Atanas Patronov, Esben Jannik Bjerrum, Ola Engkvist

J. Cheminformatics, 2022

2021

Molecular optimization by capturing chemist's intuition using deep neural networks.

Jiazhen He, Huifang You, Emil Sandström, Eva Nittinger, Esben Jannik Bjerrum, Christian Tyrchan, Werngard Czechtizky, Ola Engkvist

J. Cheminformatics, 2021