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Author Details

Ivan Anishchenko
University of Washington
2009
34
18
Andrej Sali (CM4AI)
PMIDPaper TitleJournal TitlePublished Year
37996753Accurate prediction of protein-nucleic acid complexes using RoseTTAFoldNA.Nat Methods2024
37996753Accurate prediction of protein-nucleic acid complexes using RoseTTAFoldNA.Nat Methods2024
36813896De novo design of luciferases using deep learning.Nature2023
36813896De novo design of luciferases using deep learning.Nature2023
36108050Robust deep learning-based protein sequence design using ProteinMPNN.Science2022
36108050Robust deep learning-based protein sequence design using ProteinMPNN.Science2022
35641150Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs.Brief Bioinform2022
35862514Scaffolding protein functional sites using deep learning.Science2022
35641150Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs.Brief Bioinform2022
35862514Scaffolding protein functional sites using deep learning.Science2022
34331359Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14.Proteins2021
33637700Improved protein structure refinement guided by deep learning based accuracy estimation.Nat Commun2021
33712545Protein sequence design by conformational landscape optimization.Proc Natl Acad Sci U S A2021
34331359Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14.Proteins2021
34324224Protein oligomer modeling guided by predicted interchain contacts in CASP14.Proteins2021
34853475De novo protein design by deep network hallucination.Nature2021
34762488Computed structures of core eukaryotic protein complexes.Science2021
34759384The trRosetta server for fast and accurate protein structure prediction.Nat Protoc2021
33712545Protein sequence design by conformational landscape optimization.Proc Natl Acad Sci U S A2021
33637700Improved protein structure refinement guided by deep learning based accuracy estimation.Nat Commun2021
34853475De novo protein design by deep network hallucination.Nature2021
34762488Computed structures of core eukaryotic protein complexes.Science2021
34759384The trRosetta server for fast and accurate protein structure prediction.Nat Protoc2021
34324224Protein oligomer modeling guided by predicted interchain contacts in CASP14.Proteins2021
31173061Protein contact prediction using metagenome sequence data and residual neural networks.Bioinformatics2020
31896580Improved protein structure prediction using predicted interresidue orientations.Proc Natl Acad Sci U S A2020
32632011Structural basis for autophagy inhibition by the human Rubicon-Rab7 complex.Proc Natl Acad Sci U S A2020
32939280Deep learning enables the atomic structure determination of the Fanconi Anemia core complex from cryoEM.IUCrJ2020
31173061Protein contact prediction using metagenome sequence data and residual neural networks.Bioinformatics2020
31896580Improved protein structure prediction using predicted interresidue orientations.Proc Natl Acad Sci U S A2020
32939280Deep learning enables the atomic structure determination of the Fanconi Anemia core complex from cryoEM.IUCrJ2020
32632011Structural basis for autophagy inhibition by the human Rubicon-Rab7 complex.Proc Natl Acad Sci U S A2020
30520123Gene ontology improves template selection in comparative protein docking.Proteins2019
30520123Gene ontology improves template selection in comparative protein docking.Proteins2019
31444975Template-based modeling by ClusPro in CASP13 and the potential for using co-evolutionary information in docking.Proteins2019
31296772Protein interaction networks revealed by proteome coevolution.Science2019
31296772Protein interaction networks revealed by proteome coevolution.Science2019
31444975Template-based modeling by ClusPro in CASP13 and the potential for using co-evolutionary information in docking.Proteins2019
28891124Dockground: A comprehensive data resource for modeling of protein complexes.Protein Sci2018
28905425Modeling CAPRI targets 110-120 by template-based and free docking using contact potential and combined scoring function.Proteins2018
28891124Dockground: A comprehensive data resource for modeling of protein complexes.Protein Sci2018
30122295Contact Potential for Structure Prediction of Proteins and Protein Complexes from Potts Model.Biophys J2018
30122295Contact Potential for Structure Prediction of Proteins and Protein Complexes from Potts Model.Biophys J2018
28905425Modeling CAPRI targets 110-120 by template-based and free docking using contact potential and combined scoring function.Proteins2018
27756103Structural quality of unrefined models in protein docking.Proteins2017
28784799Origins of coevolution between residues distant in protein 3D structures.Proc Natl Acad Sci U S A2017
27701777Modeling complexes of modeled proteins.Proteins2017
27756103Structural quality of unrefined models in protein docking.Proteins2017
28784799Origins of coevolution between residues distant in protein 3D structures.Proc Natl Acad Sci U S A2017
27701777Modeling complexes of modeled proteins.Proteins2017
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Collaborators

University of Washington
Co-authored papers 18
The University of Kansas
Co-authored papers 10
The University of Kansas
Co-authored papers 10
Seoul National University
Co-authored papers 7
University of Washington
Co-authored papers 5
Co-authored papers 4
Boston University
Co-authored papers 2
Stony Brook University
Co-authored papers 2
Boston University
Co-authored papers 2
European Bioinformatics Institute
Co-authored papers 2
University of Massachusetts Medical School
Co-authored papers 1
University of Massachusetts Medical School
Co-authored papers 1
Interdisciplinary Research Center HALOmem, Martin Luther University Halle-Wittenberg
Co-authored papers 1
Qiagen Inc.
Co-authored papers 1
Center for Advanced Computation, Korea Institute for Advanced Study
Co-authored papers 1
International University of Health and Welfare (IUHV Hospital)
Co-authored papers 1
University of Mauritius
Co-authored papers 1
Heidelberg Institute for Theoretical Studies (HITS)
Co-authored papers 1
Dalton Cardiovascular Research Center, University of Missouri
Co-authored papers 1
Perelman School of Medicine, University of Pennsylvania
Co-authored papers 1
University of Texas Southwestern Medical Center
Co-authored papers 1
MGH/Harvard Medical School
Co-authored papers 1
Rensselaer Polytechnic Institute
Co-authored papers 1
Institute of Structural and Molecular Biology, University College London
Co-authored papers 1
Utrecht University
Co-authored papers 1
GSK Medicines Research Centre
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Center for Molecular Biology (ZMBH), Heidelberg University
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Korea Institute for Advanced Study
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Universite de Lorraine, CNRS
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