James M. Thompson
Molecular Biology · 2007–2013
A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 120 citations into it; #3,230 of 17,773 by trust here, #1,205 by citations
- Materials Chemistry — 86 citations into it; #2,510 of 11,513 by trust here, #2,695 by citations
- Computational Biology & Bioinformatics — 35 citations into it; #338 of 660 by trust here, #150 by citations
Whom James M. Thompson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Baker
- Philip Bradley
- Jens Meiler
- Andrej Sali
- Yang Zhang
- Rhiju Das
- Srivatsan Raman
- Carol A. Rohl
- Johannes Söding
- Kira M. S. Misura
Who trusts James M. Thompson overall
- Santrupti Nerli
- Sergey Ovchinnikov
- Nikolaos G. Sgourakis
- Julia Koehler Leman
- Woonghee Lee
- Yang Zhang
- Hahnbeom Park
- Rhiju Das
- David Baker
- Andrew C. McShan
Papers from James M. Thompson's perspective
Ordered by how strongly the researchers James M. Thompson trusts endorse each paper. Same corpus, a different order for every researcher.
- Tertiary templates for proteins. Use of packing criteria in the enumeration of allowed sequences for different structural classes.
- Basic local alignment search tool.
- 3D-Jury: A Simple Approach to Improve Protein Structure Predictions (Bioinform.)
- Atomic accuracy in predicting and designing non-canonical RNA structure
- Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.
- Structure prediction for CASP7 targets using extensive all‐atom refinement with Rosetta@home
- 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)
- High resolution protein structure prediction and the crystallographic phase problem
- Algorithms for minimization without derivatives
Their papers
- Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules (2011) — 1,780 citations
- Structure prediction for CASP8 with all-atom refinement using Rosetta (2009) — 496 citations
- Structure prediction for CASP7 targets using extensive all‐atom refinement with Rosetta@home (2007) — 222 citations
- High resolution comparative modeling with RosettaCM (2013) — 1,047 citations
- Structure guided forcefield optimization (2011) — 48 citations
- Scientific Benchmarks for Guiding Macromolecular Energy Function Improvement (2013) — 199 citations
- Accurate protein structure modeling using sparse NMR data and homologous structure information (2012) — 42 citations
- High-resolution structure of a retroviral protease folded as a monomer (2011)