Stephen Rettie - Concepedia

Concepedia

Author

Stephen Rettie

University of Washington ORCID

Also Known As

Rettie, Stephen, Rettie, Stephen A., Stephen A. Rettie, Stephen Rettie

53

Publications

1.2K

Citations

12

H-Index

7

Concepts

All Affiliations

University of Washington Howard Hughes Medical Institute Stanford University Pacific Northwest National Laboratory University College Cork

SR

About

Stephen Rettie is an author at University of Washington specializing in protein engineering, protein folding, and molecular biology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	1	1	39
2	Natural Sciences	1	1	39
3	Biomolecular Engineering	1	1	457
4	Molecular Biology	1	1	39
5	Structural Biology	1	1	39

Stephen Rettie

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12

Publications

1.2K

Citations

12

H-Index

	Year	Citations
Accurate de novo design of hyperstable constrained peptides Gaurav Bhardwaj, Vikram Khipple Mulligan, Christopher D. Bahl, Nature Protein FoldingPeptide EngineeringPeptide LibraryPeptide SynthesisProtein Engineering	2016	457
Comprehensive computational design of ordered peptide macrocycles Parisa Hosseinzadeh, Gaurav Bhardwaj, Vikram Khipple Mulligan, Science	2017	216
Accurate de novo design of membrane-traversing macrocycles Gaurav Bhardwaj, Jacob O’Connor, Stephen Rettie, Cell	2022	155
Anchor extension: a structure-guided approach to design cyclic peptides targeting enzyme active sites Parisa Hosseinzadeh, P. R. Watson, Timothy W. Craven, Nature Communications	2021	91
Cyclic peptide structure prediction and design using AlphaFold Stephen Rettie, Katelyn V. Campbell, Asim K. Bera,	2023	79
Computationally designed peptide macrocycle inhibitors of New Delhi metallo-β-lactamase 1 Vikram Khipple Mulligan, Sean D. Workman, Tianjun Sun, Proceedings of the National Academy of Sciences	2021	74
Cyclic peptide structure prediction and design using AlphaFold2 Stephen Rettie, Katelyn V. Campbell, Asim K. Bera, Nature Communications Protein FoldingNatural SciencesPeptide LibraryMolecular BiologyPeptide Synthesis	2025	39
Computational design of mixed chirality peptide macrocycles with internal symmetry Vikram Khipple Mulligan, Christine S. Kang, M.R. Sawaya, Protein Science	2020	35
Accurate de novo design of high-affinity protein-binding macrocycles using deep learning Stephen Rettie, David Juergens, Victor Adebomi, Nature Chemical Biology	2025	30
Accurate <i>de novo</i> design of high-affinity protein binding macrocycles using deep learning Stephen Rettie, David Juergens, Victor Adebomi,	2024	21

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