Colin A. Smith
Molecular Biology · 2008–2015
A researcher in the Science corpus: 7 papers; trusts 9 researchers and is trusted by 55 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 96 citations into it; #421 of 17,773 by trust here, #1,795 by citations
- Materials Chemistry — 62 citations into it; #377 of 11,513 by trust here, #5,020 by citations
- Computational Biology & Bioinformatics — 22 citations into it
- Computational Chemistry & Drug Discovery — 6 citations into it
Whom Colin A. Smith trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tanja Kortemme
- Vivek S. Borkar
- Brian Kuhlman
- David Baker
- Roland L. Dunbrack
- Pehr Harbury
- Andrew Leaver-Fay
- Michael D. Tyka
- Daniel J. Mandell
- Carol A. Rohl
Who trusts Colin A. Smith overall
- Tanja Kortemme
- Noah Ollikainen
- Xingjie Pan
- Alexander M. Sevy
- Summer B. Thyme
- I. Samish
- G. Kapp
- Marion Sauer
- Shane Ó Conchúir
- Namrata Anand-Achim
Papers from Colin A. Smith's perspective
Ordered by how strongly the researchers Colin A. Smith trusts endorse each paper. Same corpus, a different order for every researcher.
- Native protein sequences are close to optimal for their structures.
- Alternate states of proteins revealed by detailed energy landscape mapping
- Exploring protein native states and large‐scale conformational changes with a modified generalized born model (Proteins: Structure, Function, and Bioinformatics)
- Algorithms for minimization without derivatives
- Structure prediction for CASP7 targets using extensive all‐atom refinement with Rosetta@home
- A simple physical model for binding energy hot spots in protein–protein complexes
- Macromolecular modeling with rosetta.
- Structure prediction for CASP8 with all-atom refinement using Rosetta
- Atomic accuracy in predicting and designing non-canonical RNA structure
- Predicting protein structures with a multiplayer online game
Their papers
- Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules (2011) — 1,780 citations
- Predicting the Tolerated Sequences for Proteins and Protein Interfaces Using RosettaBackrub Flexible Backbone Design (2011) — 104 citations
- Structure-based prediction of the peptide sequence space recognized by natural and synthetic PDZ domains. (2010) — 109 citations
- Backrub-like backbone simulation recapitulates natural protein conformational variability and improves mutant side-chain prediction. (2008) — 317 citations
- Methods in Enzymology: “Flexible backbone sampling methods to model and design protein alternative conformations” (2013) — 43 citations
- A simple model of backbone flexibility improves modeling of side-chain conformational variability. (2008) — 82 citations
- A Web Resource for Standardized Benchmark Datasets, Metrics, and Rosetta Protocols for Macromolecular Modeling and Design (2015) — 82 citations