Björn Wallner

According to our database, Björn Wallner authored at least 19 papers between 2005 and 2023.

Collaborative distances:

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

2023

AFsample: improving multimer prediction with AlphaFold using massive sampling.

Björn Wallner

Bioinform., September, 2023

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.

Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan

Nucleic Acids Res., July, 2023

2022

Improving peptide-protein docking with AlphaFold-Multimer using forced sampling.

Isak Johansson-Åkhe, Björn Wallner

Frontiers Bioinform., 2022

InterPepScore: a deep learning score for improving the FlexPepDock refinement protocol.

Isak Johansson-Åkhe, Björn Wallner

Bioinform., 2022

2021

InterPepRank: Assessment of Docked Peptide Conformations by a Deep Graph Network.

Isak Johansson-Åkhe, Claudio Mirabello, Björn Wallner

Frontiers Bioinform., 2021

2020

InterLig: improved ligand-based virtual screening using topologically independent structural alignments.

Claudio Mirabello, Björn Wallner

Bioinform., 2020

InterPep2: global peptide-protein docking using interaction surface templates.

Isak Johansson-Åkhe, Claudio Mirabello, Björn Wallner

Bioinform., 2020

2018

Topology independent structural matching discovers novel templates for protein interfaces.

Claudio Mirabello, Björn Wallner

Bioinform., 2018

2017

Proteus: a random forest classifier to predict disorder-to-order transitioning binding regions in intrinsically disordered proteins.

Sankar Basu, Fredrik Söderquist, Björn Wallner

J. Comput. Aided Mol. Des., 2017

ProQ3D: improved model quality assessments using deep learning.

Karolis Uziela, David Menéndez Hurtado, Nanjiang Shu, Björn Wallner, Arne Elofsson

Bioinform., 2017

2016

ProQ2: estimation of model accuracy implemented in Rosetta.

Karolis Uziela, Björn Wallner

Bioinform., 2016

Finding correct protein-protein docking models using ProQDock.

Sankar Basu, Björn Wallner

Bioinform., 2016

2014

ProQM-resample: improved model quality assessment for membrane proteins by limited conformational sampling.

Björn Wallner

Bioinform., 2014

2012

Improved model quality assessment using ProQ2.

Arjun Ray, Erik Lindahl, Björn Wallner

BMC Bioinform., 2012

2011

Improved predictions by Pcons.net using multiple templates.

Per Larsson, Marcin J. Skwark, Björn Wallner, Arne Elofsson

Bioinform., 2011

2010

Modeling Anesthetic Binding Sites within the Glycine Alpha One Receptor Based on Prokaryotic Ion Channel Templates: The Problem with TM4.

Edward J. Bertaccini, Björn Wallner, James R. Trudell, Erik Lindahl

J. Chem. Inf. Model., 2010

Model quality assessment for membrane proteins.

Arjun Ray, Erik Lindahl, Björn Wallner

Bioinform., 2010

2007

Pcons.net: protein structure prediction meta server.

Björn Wallner, Per Larsson, Arne Elofsson

Nucleic Acids Res., 2007

2005

Pcons5: combining consensus, structural evaluation and fold recognition scores.

Björn Wallner, Arne Elofsson

Bioinform., 2005