Kyle A. Beauchamp
Molecular Biology · 2009–2018
A researcher in the Science corpus: 9 papers; trusts 2 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 105 citations into it; #4,221 of 17,773 by trust here, #2,679 by citations
- Materials Chemistry — 63 citations into it; #8,691 of 11,513 by trust here, #6,473 by citations
- Spectroscopy — 39 citations into it; #374 of 1,674 by trust here, #107 by citations
Whom Kyle A. Beauchamp trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Kyle A. Beauchamp overall
- Frank No'e
- Wei Wang
- G. Pérez-Hernández
- John D. Chodera
- Vijay S. Pande
- Siqin Cao
- Kai J. Kohlhoff
- Cecilia Clementi
- Gregory R. Bowman
- Andreas Mardt
Papers from Kyle A. Beauchamp's perspective
Ordered by how strongly the researchers Kyle A. Beauchamp trusts endorse each paper. Same corpus, a different order for every researcher.
- Comparison of simple potential functions for simulating liquid water
- GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers
- Free Energy Computations: A Mathematical Perspective
- Modeling induced polarization with classical Drude oscillators: Theory and molecular dynamics simulation algorithm
- OpenMM 4: A Reusable, Extensible, Hardware Independent Library for High Performance Molecular Simulation (Journal of Chemical Theory and Computation)
- Nonequilibrium candidate Monte Carlo is an efficient tool for equilibrium simulation
- Supporting Online Material Materials and Methods Figs. S1 to S10 Table S1 References Movies S1 to S3 Atomic-level Characterization of the Structural Dynamics of Proteins
- Biomolecular simulation: a computational microscope for molecular biology. (Annual Review of Biophysics)
- Computational solutions to large-scale data management and analysis (Nature reviews genetics)
- Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone φ, ψ and side-chain χ1 and χ2 dihedral angles
Their papers
- OpenMM 7: Rapid development of high performance algorithms for molecular dynamics (2016) — 2,485 citations
- Are Protein Force Fields Getting Better? A Systematic Benchmark on 524 Diverse NMR Measurements (2012) — 391 citations
- MDTraj: a modern, open library for the analysis of molecular dynamics trajectories (2014) — 2,233 citations
- To Milliseconds and Beyond: Challenges in the Simulation of Protein Folding (2012) — 373 citations
- Progress and challenges in the automated construction of Markov state models for full protein systems. (2009) — 390 citations
- MSMBuilder2: Modeling Conformational Dynamics at the Picosecond to Millisecond Scale (2011) — 380 citations
- Everything you wanted to know about Markov State Models but were afraid to ask (2010) — 663 citations
- Bioconda: sustainable and comprehensive software distribution for the life sciences (2018) — 1,435 citations
- OpenMM 4: A Reusable, Extensible, Hardware Independent Library for High Performance Molecular Simulation (2012) — 656 citations