Amelie Stein
Molecular Biology · 2012–2021
A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 365 citations into it; #1,699 of 17,773 by trust here, #4,696 by citations
- Materials Chemistry — 176 citations into it; #1,032 of 11,513 by trust here, #4,806 by citations
- Spectroscopy — 44 citations into it
- Organic Chemistry — 14 citations into it
- Biomedical Engineering — 5 citations into it
Whom Amelie Stein trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Roland L. Dunbrack
- David Baker
- Daniel J. Mandell
- Adrian A. Canutescu
- Andrew Leaver-Fay
- M. Bower
- K. Simons
- Tanja Kortemme
- Michael D. Tyka
- Dominik Gront
Who trusts Amelie Stein overall
- Brian D. Weitzner
- Hahnbeom Park
- Enrique Marcos
- Ragul Gowthaman
- Pablo Gainza
- Alexander M. Sevy
- Jeffrey J. Gray
- Shane Ó Conchúir
- Claire Marks
- Brian G. Pierce
Papers from Amelie Stein's perspective
Ordered by how strongly the researchers Amelie Stein trusts endorse each paper. Same corpus, a different order for every researcher.
- Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions.
- Macromolecular modeling with rosetta.
- Backrub-like backbone simulation recapitulates natural protein conformational variability and improves mutant side-chain prediction.
- Cyclic coordinate descent: A robotics algorithm for protein loop closure
- Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
- T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
- Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation.
- Repurposing Citizen Science Games as Software Tools for Professional Scientists
- A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
- Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
Their papers
- Improvements to Robotics-Inspired Conformational Sampling in Rosetta (2013) — 184 citations
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- A Combined Covalent-Electrostatic Model of Hydrogen Bonding Improves Structure Prediction with Rosetta (2015) — 233 citations
- 3did: a catalog of domain-based interactions of known three-dimensional structure (2013) — 279 citations
- A structural biology community assessment of AlphaFold2 applications (2021) — 578 citations
- Control of protein signaling using a computationally designed GTPase/GEF orthogonal pair (2012) — 86 citations