Ron Jacak
Molecular Biology · 2011–2013
A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 88 citations into it; #8,317 of 17,773 by trust here, #2,080 by citations
- Materials Chemistry — 58 citations into it; #7,206 of 11,513 by trust here, #6,536 by citations
- Computational Biology & Bioinformatics — 18 citations into it
- Computational Theory and Mathematics — 8 citations into it
- Spectroscopy — 6 citations into it
Whom Ron Jacak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brian Kuhlman
- David Baker
- G. Dantas
- James J. Havranek
- Sarah A. Teichmann
- Roland L. Dunbrack
- Andrew Leaver-Fay
- Carol A. Rohl
- Pehr Harbury
- Feng Ding
Who trusts Ron Jacak overall
- Craig O. Mackenzie
- Zhixiu Li
- Andrew Leaver-Fay
- Jianfu Zhou
- Jeffrey R. Brender
- Yuedong Yang
- Gevorg Grigoryan
Papers from Ron Jacak's perspective
Ordered by how strongly the researchers Ron Jacak trusts endorse each paper. Same corpus, a different order for every researcher.
- De novo protein design: fully automated sequence selection.
- Native protein sequences are close to optimal for their structures.
- A large scale test of computational protein design: folding and stability of nine completely redesigned globular proteins.
- Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.
- High-resolution structural validation of the computational redesign of human U1A protein.
- 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)
- Estimation of effective interresidue contact energies from protein crystal structures: quasi-chemical approximation
- Protein sidechain conformer prediction: a test of the energy function.
- Energy functions that discriminate X-ray and near native folds from well-constructed decoys.
Their papers
- Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules (2011) — 1,780 citations
- Scientific Benchmarks for Guiding Macromolecular Energy Function Improvement (2013) — 199 citations
- Computational Protein Design with Explicit Consideration of Surface Hydrophobic Patches (2011) — 68 citations
- A Generic Program for Multistate Protein Design (2011) — 95 citations