Julian Tirado-Rives

Molecular Biology · 1996–2017

A researcher in the Science corpus: 9 papers; trusts 4 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 46 citations into it; #2,576 of 17,773 by trust here, #5,819 by citations
• Atomic and Molecular Physics, and Optics — 31 citations into it; #2,747 of 7,135 by trust here, #3,118 by citations
• Materials Chemistry — 30 citations into it; #1,444 of 11,513 by trust here, #6,608 by citations
• Computational Theory and Mathematics — 7 citations into it; #3,279 of 12,182 by trust here, #3,681 by citations
• Organic Chemistry — 7 citations into it

Whom Julian Tirado-Rives trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. W. L. Jorgensen
2. Alexander D. MacKerell
3. A. W. Schüttelkopf

Who trusts Julian Tirado-Rives overall

1. Leela S. Dodda
2. W. L. Jorgensen
3. Jeremy R. Greenwood
4. Evanthia Lionta
5. Zoe Cournia
6. A. Gavezzotti
7. Israel Cabeza de Vaca
8. Marcus Mueller
9. Sérgio Filipe Sousa
10. David Calkins

Papers from Julian Tirado-Rives's perspective

Ordered by how strongly the researchers Julian Tirado-Rives trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Amber biomolecular simulation programs
2. Scalable molecular dynamics with NAMD
3. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers
4. OpenMM 4: A Reusable, Extensible, Hardware Independent Library for High Performance Molecular Simulation (Journal of Chemical Theory and Computation)
5. CHARMM: The biomolecular simulation program
6. Automation of the CHARMM General Force Field (CGenFF) I: Bond Perception and Atom Typing (Journal of Chemical Information and Modeling)
7. SwissParam: A fast force field generation tool for small organic molecules
8. CHARMM‐GUI: A web‐based graphical user interface for CHARMM
9. Automation of the CHARMM General Force Field (CGenFF) II: Assignment of bonded parameters and partial atomic charges
10. Improved Peptide and Protein Torsional Energetics with the OPLS-AA Force Field (Journal of Chemical Theory and Computation)

Their papers

• Molecular modeling of organic and biomolecular systems using BOSS and MCPRO (2005) — 389 citations
• Energetics of displacing water molecules from protein binding sites: consequences for ligand optimization. (2009) — 237 citations
• Potential energy functions for atomic-level simulations of water and organic and biomolecular systems. (2005) — 1,387 citations
• Prediction of the Water Content in Protein Binding Sites (2009) — 177 citations
• 1.14*CM1A-LBCC: Localized Bond Charge Corrected CM1A Charges for Condensed-Phase Simulations (2017) — 704 citations
• Improved Peptide and Protein Torsional Energetics with the OPLS-AA Force Field (2015) — 767 citations
• Performance of B3LYP Density Functional Methods for a Large Set of Organic Molecules. (2008) — 1,493 citations
• LigParGen web server: an automatic OPLS-AA parameter generator for organic ligands (2017) — 1,450 citations
• Development and Testing of the OPLS All-Atom Force Field on Conformational Energetics and Properties of Organic Liquids (1996)