Ivan Anishchenko - Concepedia

Author

Ivan Anishchenko

Also Known As

Anishchenko, Ivan, I. Anishchenko, I. V. Anishchenko, I.V. Anishchenko, Ivan Anishchenko, Ivan V. Anishchenko, И.В. Анищенко

Publications

15.1K

Citations

H-Index

Concepts

All Affiliations

University of Washington Howard Hughes Medical Institute Harvard University Press Harvard University University of Kansas

About

Ivan Anishchenko is an author at University of Washington specializing in molecular biology, medicine, and structural biology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	23	26	4.6K
2	Engineering	15	16	3K
3	Natural Sciences	14	14	1.1K
4	Biochemistry	5	5	108
5	Biomedical Engineering	1	1	21

Ivan Anishchenko

Publications

14.4K

Citations

H-Index

Page 1

	Year	Citations
Accurate prediction of protein structures and interactions using a three-track neural network Minkyung Baek, Frank DiMaio, Ivan Anishchenko, Science	2021	5.4K
Robust deep learning–based protein sequence design using ProteinMPNN Justas Dauparas, Ivan Anishchenko, Nathaniel R. Bennett, Science Systems BiologyEngineeringProtein DesignsRobust DeepProtein Folding	2022	1.5K
Improved protein structure prediction using predicted interresidue orientations Jianyi Yang, Ivan Anishchenko, Hahnbeom Park, Proceedings of the National Academy of Sciences	2020	1.5K
Generalized biomolecular modeling and design with RoseTTAFold All-Atom Rohith Krishna, Jue Wang, Woody Ahern, Science EngineeringStructural BioinformaticsBiomolecular Structure PredictionMolecular BiologyComputational Chemistry	2024	718
De novo protein design by deep network hallucination Ivan Anishchenko, Samuel J. Pellock, Tamuka M. Chidyausiku, Nature Structural BioinformaticsBiomolecular Structure PredictionComputational BiologyMolecular BiologyProtein Structure Prediction	2021	569
Computed structures of core eukaryotic protein complexes Ian R. Humphreys, Jimin Pei, Minkyung Baek, Science	2021	547
Scaffolding protein functional sites using deep learning Jue Wang, Sidney Lisanza, David Juergens, Science Deep Learning ApproachesProtein Functional SitesStructural BioinformaticsProtein FoldingNatural Sciences	2022	435
De novo design of luciferases using deep learning Hsien‐Wei Yeh, Christoffer Norn, Yakov Kipnis, Nature	2023	397
Accurate prediction of protein–nucleic acid complexes using RoseTTAFoldNA Minkyung Baek, Ryan McHugh, Ivan Anishchenko, Nature Methods	2023	313
Protein interaction networks revealed by proteome coevolution Qian Cong, Ivan Anishchenko, Sergey Ovchinnikov, Science	2019	270

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