Improved model quality assessment using ProQ2 von Ray, Arjun, Lindahl, Erik, Wallner, Björn

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ProQ3D: improved model quality assessments using deep learning von Uziela, Karolis, Menéndez Hurtado, David, Shu, Nanjiang, Wallner, Björn, Elofsson, Arne

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AFsample: improving multimer prediction with AlphaFold using massive sampling von Wallner, Björn

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Improved multimer prediction using massive sampling with AlphaFold in CASP15 von Wallner, Björn

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Predicting protein-peptide interaction sites using distant protein complexes as structural templates von Johansson-Åkhe, Isak, Mirabello, Claudio, Wallner, Björn

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Estimation of model accuracy in CASP13 von Cheng, Jianlin, Choe, Myong‐Ho, Elofsson, Arne, Han, Kun‐Sop, Hou, Jie, Maghrabi, Ali H. A., McGuffin, Liam J., Menéndez‐Hurtado, David, Olechnovič, Kliment, Schwede, Torsten, Studer, Gabriel, Uziela, Karolis, Venclovas, Česlovas, Wallner, Björn

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rawMSA: End-to-end Deep Learning using raw Multiple Sequence Alignments von Mirabello, Claudio, Wallner, Björn

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Efficient consideration of coordinated water molecules improves computational protein-protein and protein-ligand docking discrimination von Pavlovicz, Ryan E, Park, Hahnbeom, DiMaio, Frank, Singh, Mona, Wallner, Björn

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DockQ: A Quality Measure for Protein-Protein Docking Models von Basu, Sankar, Wallner, Björn

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Tracking a complete voltage-sensor cycle with metal-ion bridges von Henrion, Ulrike, Renhorn, Jakob, Börjesson, Sara I, Nelson, Erin M, Schwaiger, Christine S, Bjelkmar, Pär, Wallner, Björn, Lindahl, Erik, Elinder, Fredrik

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From principal component to direct coupling analysis of coevolution in proteins: low-eigenvalue modes are needed for structure prediction von Cocco, Simona, Monasson, Remi, Weigt, Martin

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Identification of correct regions in protein models using structural, alignment, and consensus information von Wallner, Björn, Elofsson, Arne

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Atypical structural tendencies among low-complexity domains in the Protein Data Bank proteome von Cascarina, Sean M, Elder, Mikaela R, Ross, Eric D

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Phylogenetic correlations can suffice to infer protein partners from sequences von Marmier, Guillaume, Weigt, Martin, Bitbol, Anne-Florence

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Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure prediction von Shapovalov, Maxim, Dunbrack, Jr, Roland L, Vucetic, Slobodan

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Myc and its interactors take shape von Tu, William B., Helander, Sara, Pilstål, Robert, Hickman, K. Ashley, Lourenco, Corey, Jurisica, Igor, Raught, Brian, Wallner, Björn, Sunnerhagen, Maria, Penn, Linda Z.

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Using multiple templates to improve quality of homology models in automated homology modeling von Larsson, Per, Wallner, Björn, Lindahl, Erik, Elofsson, Arne

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Synthetic protein alignments by CCMgen quantify noise in residue-residue contact prediction von Vorberg, Susann, Seemayer, Stefan, Söding, Johannes

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Estimating local protein model quality: prospects for molecular replacement von Wallner, Björn

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DockQ v2: improved automatic quality measure for protein multimers, nucleic acids, and small molecules von Mirabello, Claudio, Wallner, Björn

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