Björn Wallner, Ph.D
Affiliations: | IFM | Linköping University, Linköping, Östergötlands län, Sweden |
Area:
Protein bioinformaticsGoogle:
"Björn Wallner"Mean distance: 9.82 | S | N | B | C | P |
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Publications
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| Lensink MF, Brysbaert G, Raouraoua N, et al. (2023) Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment. Proteins |
| Wallner B. (2023) AFsample: improving multimer prediction with AlphaFold using massive sampling. Bioinformatics (Oxford, England). 39 |
| Wallner B. (2023) Improved multimer prediction using massive sampling with AlphaFold in CASP15. Proteins |
| Johansson-Åkhe I, Wallner B. (2022) Improving peptide-protein docking with AlphaFold-Multimer using forced sampling. Frontiers in Bioinformatics. 2: 959160 |
| Johansson-Åkhe I, Wallner B. (2022) InterPepScore: A Deep Learning Score for Improving the FlexPepDock Refinement Protocol. Bioinformatics (Oxford, England) |
| Mirabello C, Wallner B. (2020) InterLig: Improved ligand-based virtual screening using topologically-independent structural alignments. Bioinformatics (Oxford, England) |
| Johansson-Åkhe I, Mirabello C, Wallner B. (2020) InterPep2: Global Peptide-Protein Docking using Interaction Surface Templates. Bioinformatics (Oxford, England) |
| Mirabello C, Wallner B. (2019) rawMSA: End-to-end Deep Learning using raw Multiple Sequence Alignments. Plos One. 14: e0220182 |
| Cheng J, Choe MH, Elofsson A, et al. (2019) Estimation of model accuracy in CASP13. Proteins |
| Johansson-Åkhe I, Mirabello C, Wallner B. (2019) Predicting protein-peptide interaction sites using distant protein complexes as structural templates. Scientific Reports. 9: 4267 |