Noah Ollikainen

Molecular Biology · 2010–2020

A researcher in the Science corpus: 7 papers; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 385 citations into it; #8,788 of 17,773 by trust here, #6,746 by citations
• Materials Chemistry — 167 citations into it; #5,424 of 11,513 by trust here, #6,949 by citations
• Computational Biology & Bioinformatics — 44 citations into it
• Biomedical Engineering — 8 citations into it
• Infectious Diseases — 5 citations into it

Whom Noah Ollikainen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Colin A. Smith
2. Tanja Kortemme
3. Daniel J. Mandell
4. Andrew Leaver-Fay
5. David Baker
6. Maxim V. Shapovalov
7. Michael D. Tyka
8. Roland L. Dunbrack
9. David C. Jones
10. Robert D. Finn

Who trusts Noah Ollikainen overall

1. Xingjie Pan
2. Tanja Kortemme
3. Diego del Alamo
4. Davide Sala
5. Haiyan Liu
6. Matthew McPartlon

Papers from Noah Ollikainen's perspective

Ordered by how strongly the researchers Noah Ollikainen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Alternate states of proteins revealed by detailed energy landscape mapping
2. Backrub-like backbone simulation recapitulates natural protein conformational variability and improves mutant side-chain prediction.
3. A simple physical model for binding energy hot spots in protein–protein complexes
4. Native protein sequences are close to optimal for their structures.
5. Cyclic coordinate descent: A robotics algorithm for protein loop closure
6. Role of conformational sampling in computing mutation-induced changes in protein structure and stability
7. The Pfam protein families database
8. Computational Alanine Scanning of Protein-Protein Interfaces
9. Predicting the Tolerated Sequences for Proteins and Protein Interfaces Using RosettaBackrub Flexible Backbone Design
10. Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes

Their papers

• Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
• Methods in Enzymology: “Flexible backbone sampling methods to model and design protein alternative conformations” (2013) — 43 citations
• Coupling Protein Side-Chain and Backbone Flexibility Improves the Re-design of Protein-Ligand Specificity (2015) — 76 citations
• Computational design of a modular protein sense/response system (2019) — 124 citations
• A Web Resource for Standardized Benchmark Datasets, Metrics, and Rosetta Protocols for Macromolecular Modeling and Design (2015) — 82 citations
• Widespread Protein Aggregation as an Inherent Part of Aging in C. elegans (2010) — 633 citations
• Higher-order inter-chromosomal hubs shape 3D genome organization in the nucleus (2018) — 784 citations