Nathan A. Baker
Molecular Biology · 2001–2018
A researcher in the Science corpus: 7 papers; trusts 6 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 38 citations into it; #4,538 of 17,773 by trust here, #3,891 by citations
- Materials Chemistry — 16 citations into it; #8,758 of 11,513 by trust here, #6,079 by citations
- Atomic and Molecular Physics, and Optics — 11 citations into it; #6,804 of 7,135 by trust here, #1,837 by citations
Whom Nathan A. Baker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Nathan A. Baker overall
- Todd J. Dolinsky
- Sean R. McGuffee
- Daniel Seeliger
- Bosco K Ho
- Vignesh Ram Somnath
- Maria Greco
- P. Feliciano
- Federico Fogolari
- Jessica M.J. Swanson
- Levi D. McClenny
Papers from Nathan A. Baker's perspective
Ordered by how strongly the researchers Nathan A. Baker trusts endorse each paper. Same corpus, a different order for every researcher.
- Extending the treatment of backbone energetics in protein force fields: Limitations of gas‐phase quantum mechanics in reproducing protein conformational distributions in molecular dynamics simulations
- 3Dmol.js: molecular visualization with WebGL
- The Amber biomolecular simulation programs
- Generalized born models of macromolecular solvation effects. (Annual review of physical chemistry (Print))
- AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
- VMD: visual molecular dynamics.
- CHARMM: The biomolecular simulation program
- How well does a restrained electrostatic potential (RESP) model perform in calculating conformational energies of organic and biological molecules? (Journal of Computational Chemistry)
- Scalable molecular dynamics with NAMD
- PDB2PQR: an automated pipeline for the setup of Poisson-Boltzmann electrostatics calculations
Their papers
- Electrostatics of nanosystems: Application to microtubules and the ribosome (2001) — 7,254 citations
- PDB2PQR: an automated pipeline for the setup of Poisson-Boltzmann electrostatics calculations (2004) — 3,375 citations
- PDB2PQR: expanding and upgrading automated preparation of biomolecular structures for molecular simulations (2007) — 1,956 citations
- Workshop Report on Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence (2018) — 321 citations
- Web servers and services for electrostatics calculations with APBS and PDB2PQR (2011) — 304 citations
- Improvements to the APBS biomolecular solvation software suite (2017) — 2,172 citations
- Improving implicit solvent simulations: a Poisson-centric view. (2005) — 355 citations