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Author Details
Full Name
Ivan Anishchenko
Affiliation
University of Washington
ORCID
Career Start Year
2009
Papers
34
H Index
18
Expertise
CM4AI Collaborator
Andrej Sali (CM4AI)
PMID
Paper Title
Journal Title
Published Year
37996753
Accurate prediction of protein-nucleic acid complexes using RoseTTAFoldNA.
Nat Methods
2024
37996753
Accurate prediction of protein-nucleic acid complexes using RoseTTAFoldNA.
Nat Methods
2024
36813896
De novo design of luciferases using deep learning.
Nature
2023
36813896
De novo design of luciferases using deep learning.
Nature
2023
36108050
Robust deep learning-based protein sequence design using ProteinMPNN.
Science
2022
36108050
Robust deep learning-based protein sequence design using ProteinMPNN.
Science
2022
35641150
Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs.
Brief Bioinform
2022
35862514
Scaffolding protein functional sites using deep learning.
Science
2022
35641150
Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs.
Brief Bioinform
2022
35862514
Scaffolding protein functional sites using deep learning.
Science
2022
34331359
Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14.
Proteins
2021
33637700
Improved protein structure refinement guided by deep learning based accuracy estimation.
Nat Commun
2021
33712545
Protein sequence design by conformational landscape optimization.
Proc Natl Acad Sci U S A
2021
34331359
Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14.
Proteins
2021
34324224
Protein oligomer modeling guided by predicted interchain contacts in CASP14.
Proteins
2021
34853475
De novo protein design by deep network hallucination.
Nature
2021
34762488
Computed structures of core eukaryotic protein complexes.
Science
2021
34759384
The trRosetta server for fast and accurate protein structure prediction.
Nat Protoc
2021
33712545
Protein sequence design by conformational landscape optimization.
Proc Natl Acad Sci U S A
2021
33637700
Improved protein structure refinement guided by deep learning based accuracy estimation.
Nat Commun
2021
34853475
De novo protein design by deep network hallucination.
Nature
2021
34762488
Computed structures of core eukaryotic protein complexes.
Science
2021
34759384
The trRosetta server for fast and accurate protein structure prediction.
Nat Protoc
2021
34324224
Protein oligomer modeling guided by predicted interchain contacts in CASP14.
Proteins
2021
31173061
Protein contact prediction using metagenome sequence data and residual neural networks.
Bioinformatics
2020
31896580
Improved protein structure prediction using predicted interresidue orientations.
Proc Natl Acad Sci U S A
2020
32632011
Structural basis for autophagy inhibition by the human Rubicon-Rab7 complex.
Proc Natl Acad Sci U S A
2020
32939280
Deep learning enables the atomic structure determination of the Fanconi Anemia core complex from cryoEM.
IUCrJ
2020
31173061
Protein contact prediction using metagenome sequence data and residual neural networks.
Bioinformatics
2020
31896580
Improved protein structure prediction using predicted interresidue orientations.
Proc Natl Acad Sci U S A
2020
32939280
Deep learning enables the atomic structure determination of the Fanconi Anemia core complex from cryoEM.
IUCrJ
2020
32632011
Structural basis for autophagy inhibition by the human Rubicon-Rab7 complex.
Proc Natl Acad Sci U S A
2020
30520123
Gene ontology improves template selection in comparative protein docking.
Proteins
2019
30520123
Gene ontology improves template selection in comparative protein docking.
Proteins
2019
31444975
Template-based modeling by ClusPro in CASP13 and the potential for using co-evolutionary information in docking.
Proteins
2019
31296772
Protein interaction networks revealed by proteome coevolution.
Science
2019
31296772
Protein interaction networks revealed by proteome coevolution.
Science
2019
31444975
Template-based modeling by ClusPro in CASP13 and the potential for using co-evolutionary information in docking.
Proteins
2019
28891124
Dockground: A comprehensive data resource for modeling of protein complexes.
Protein Sci
2018
28905425
Modeling CAPRI targets 110-120 by template-based and free docking using contact potential and combined scoring function.
Proteins
2018
28891124
Dockground: A comprehensive data resource for modeling of protein complexes.
Protein Sci
2018
30122295
Contact Potential for Structure Prediction of Proteins and Protein Complexes from Potts Model.
Biophys J
2018
30122295
Contact Potential for Structure Prediction of Proteins and Protein Complexes from Potts Model.
Biophys J
2018
28905425
Modeling CAPRI targets 110-120 by template-based and free docking using contact potential and combined scoring function.
Proteins
2018
27756103
Structural quality of unrefined models in protein docking.
Proteins
2017
28784799
Origins of coevolution between residues distant in protein 3D structures.
Proc Natl Acad Sci U S A
2017
27701777
Modeling complexes of modeled proteins.
Proteins
2017
27756103
Structural quality of unrefined models in protein docking.
Proteins
2017
28784799
Origins of coevolution between residues distant in protein 3D structures.
Proc Natl Acad Sci U S A
2017
27701777
Modeling complexes of modeled proteins.
Proteins
2017
1 - 50 of 68
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