Jay W. Ponder
Molecular Biology · 1987–2018
A researcher in the Science corpus: 7 papers; trusts 4 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 62 citations into it; #2,957 of 17,773 by trust here, #5,504 by citations
- Atomic and Molecular Physics, and Optics — 29 citations into it; #1,104 of 7,135 by trust here, #1,122 by citations
- Spectroscopy — 15 citations into it; #431 of 1,674 by trust here, #1,142 by citations
- Physical and Theoretical Chemistry — 14 citations into it
Whom Jay W. Ponder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- W. L. Jorgensen
- David A. Case
- Bernard R. Brooks
- Alexander D. MacKerell
- Donald Bashford
- Peter A. Kollman
- Ayori Mitsutake
- Junmei Wang
- Michael W. Mahoney
- Nicolas Foloppe
Who trusts Jay W. Ponder overall
- I. Samish
- Freddie R. Salsbury Jr.
- Andrew Leaver-Fay
- I. Korendovych
- J. Desjarlais
- Zsolt Bikádi
- M. Bower
- Hans Senn
- David Baker
- Eugene I. Shakhnovich
Papers from Jay W. Ponder's perspective
Ordered by how strongly the researchers Jay W. Ponder trusts endorse each paper. Same corpus, a different order for every researcher.
- Accelerated Poisson–Boltzmann calculations for static and dynamic systems (Journal of Computational Chemistry)
- Comparison of simple potential functions for simulating liquid water
- Force Field Validation Using Protein Side Chain Prediction
- New spherical‐cutoff methods for long‐range forces in macromolecular simulation
- Efficient particle-mesh Ewald based approach to fixed and induced dipolar interactions
- Theory of intermolecular forces
- All‐atom empirical force field for nucleic acids: I. Parameter optimization based on small molecule and condensed phase macromolecular target data
- Generalized born models of macromolecular solvation effects. (Annual review of physical chemistry (Print))
- Theory and applications of the generalized born solvation model in macromolecular simulations (Biopolymers)
- CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
Their papers
- Force fields for protein simulations. (2003) — 1,680 citations
- Consistent treatment of inter‐ and intramolecular polarization in molecular mechanics calculations (2002) — 498 citations
- Tinker 8: Software Tools for Molecular Design (2018) — 605 citations
- The Polarizable Atomic Multipole-based AMOEBA Force Field for Proteins. (2013) — 619 citations
- Current Status of the AMOEBA Polarizable Force Field (2010) — 1,280 citations
- Temperature and Pressure Dependence of the AMOEBA Water Model (2004) — 198 citations
- Tertiary templates for proteins. Use of packing criteria in the enumeration of allowed sequences for different structural classes. (1987)