Ray Luo
Molecular Biology · 2002–2018
A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 41 citations into it; #6,761 of 17,773 by trust here, #2,571 by citations
- Materials Chemistry — 22 citations into it
- Atomic and Molecular Physics, and Optics — 15 citations into it
Whom Ray Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ray Luo overall
- David A. Case
- Alexey V. Onufriev
- Romelia Salomón-Ferrer
- Changhao Wang
- Donald Bashford
- D'Artagnan Greene
- Nathan A. Baker
- Jay W. Ponder
Papers from Ray Luo's perspective
Ordered by how strongly the researchers Ray Luo trusts endorse each paper. Same corpus, a different order for every researcher.
- Introduction to Numerical Analysis
- Efficient estimation of free energy differences from Monte Carlo data
- MMPBSA.py: An Efficient Program for End-State Free Energy Calculations. (Journal of Chemical Theory and Computation)
- Numerical Recipes: The Art of Scientific Computing
- Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein-protein binding free energies and re-rank binding poses generated by protein-protein docking. (Physical Chemistry, Chemical Physics - PCCP)
- The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities (Expert Opinion on Drug Discovery)
- Assessing the performance of MM/PBSA and MM/GBSA methods. 4. Accuracies of MM/PBSA and MM/GBSA methodologies evaluated by various simulation protocols using PDBbind data set. (Physical Chemistry, Chemical Physics - PCCP)
- Interaction Entropy: A New Paradigm for Highly Efficient and Reliable Computation of Protein-Ligand Binding Free Energy. (Journal of the American Chemical Society)
- g_mmpbsa - A GROMACS Tool for High-Throughput MM-PBSA Calculations (Journal of Chemical Information and Modeling)
- Global Optimization with Polynomials and the Problem of Moments (SIAM Journal on Optimization)
Their papers
- A point‐charge force field for molecular mechanics simulations of proteins based on condensed‐phase quantum mechanical calculations (2003) — 4,215 citations
- The Amber biomolecular simulation programs (2005) — 8,841 citations
- Accelerated Poisson–Boltzmann calculations for static and dynamic systems (2002) — 434 citations
- Recent Developments and Applications of the MMPBSA Method (2018) — 586 citations
- A Poisson–Boltzmann dynamics method with nonperiodic boundary condition (2003) — 165 citations