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Manuel Sellner
Manuel Sellner
PhD Student, University of Basel
在 unibas.ch 的电子邮件经过验证
标题
引用次数
引用次数
年份
Potential inhibitors for novel coronavirus protease identified by virtual screening of 606 million compounds
A Fischer, M Sellner, S Neranjan, M Smieško, MA Lill
International journal of molecular sciences 21 (10), 3626, 2020
2082020
Decision making in structure-based drug discovery: visual inspection of docking results
A Fischer, M Smiesko, M Sellner, MA Lill
Journal of Medicinal Chemistry 64 (5), 2489-2500, 2021
1992021
Conformational landscape of cytochrome P450 reductase interactions
M Sellner, A Fischer, CG Don, M Smieško
International journal of molecular sciences 22 (3), 1023, 2021
152021
Activation of retinoic acid-related orphan receptor γ (t) by parabens and benzophenone UV-filters
SG Inderbinen, M Kley, M Zogg, M Sellner, A Fischer, J Kędzierski, ...
Toxicology 471, 153159, 2022
122022
Computational selectivity assessment of protease inhibitors against SARS-CoV-2
A Fischer, M Sellner, K Mitusińska, M Bzówka, MA Lill, A Góra, M Smieško
International Journal of Molecular Sciences 22 (4), 2065, 2021
102021
Evaluation of Xa inhibitors as potential inhibitors of the SARS-CoV-2 Mpro protease
K Papaj, P Spychalska, P Kapica, A Fischer, J Nowak, M Bzówka, ...
PLoS One 17 (1), e0262482, 2022
82022
Efficient virtual high-content screening using a distance-aware transformer model
MS Sellner, AH Mahmoud, MA Lill
Journal of Cheminformatics 15 (1), 18, 2023
52023
Inhibitors for Novel Coronavirus Protease Identified by Virtual Screening of 687 Million Compounds (2020)
A Fischer, M Sellner, S Neranjan, MA Lill, M Smieško
DOI: https://doi. org/10.26434/chemrxiv 11923239, v1, 0
5
Ligand pathways in estrogen-related receptors
A Fischer, F Bardakci, M Sellner, MA Lill, M Smieško
Journal of biomolecular structure and dynamics 41 (5), 1639-1648, 2023
42023
Quality Matters: Deep Learning-Based Analysis of Protein-Ligand Interactions with Focus on Avoiding Bias
MS Sellner, MA Lill, M Smieško
bioRxiv, 2023.11. 13.566916, 2023
12023
Enhancing Ligand-Based Virtual Screening with 3D Shape Similarity via a Distance-Aware Transformer Model
MS Sellner, AH Mahmoud, MA Lill
bioRxiv, 2023.11. 17.567506, 2023
12023
Vitex agnus castus Extract Ze 440: Diterpene and Triterpene’s Interactions with Dopamine D2 Receptor
JK Reinhardt, L Schertler, H Bussmann, M Sellner, M Smiesko, G Boonen, ...
International Journal of Molecular Sciences 25 (21), 11456, 2024
2024
PanScreen: A Comprehensive Approach to Off-Target Liability Assessment
MS Sellner, MA Lill, M Smieško
bioRxiv, 2023.11. 16.567496, 2023
2023
Development of an In silico platform for the prediction of off-target binding
M Sellner
University_of_Basel, 2023
2023
P10-02 Parabens and UV-filters activating retinoic acid-related orphan receptor γ (t)
M Kley, SG Inderbinen, M Zogg, M Sellner, A Fischer, J Kędzierski, ...
Toxicology Letters 368, S155, 2022
2022
SARS-CoV-2 Mpro as a challenging molecular target for small-molecule inhibitor design
M Bzowka, K Mitusinska, A Raczynska, A Samol, A Fischer, M Sellner, ...
FEBS OPEN BIO 11, 349-350, 2021
2021
High-Content Similarity-Based Virtual Screening Using a Distance Aware Transformer Model
MS Sellner, AH Mahmoud, MA Lill
ICLR2022 Machine Learning for Drug Discovery, 0
Supporting Information: Computational Selectivity Assessment of Protease Inhbitiors against SARS-CoV-2
A Fischer, M Sellner, K Mitusinska, M Bzówka, MA Lill, A Góra, M Smieško
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