P-LINCS: A Parallel Linear Constraint Solver for Molecular Simulation.

By Berk Hess. Journal of Chemical Theory and Computation, 2008

3,589 citations recorded by the source corpus.

Subfields: Materials Chemistry, Molecular Biology, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/a3032d3e813142df355b198e4fdd4def68f8ec69

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Materials Chemistry

1. Yuedong Yang
2. Yaoqi Zhou
3. Chun-Ling Wang
4. Ji-Hua Wang
5. Justin A. Lemkul
6. Ya-Wei Zhao
7. Zanxia Cao
8. Jia-Feng Yu

In Molecular Biology

1. Yuedong Yang
2. Yaoqi Zhou
3. Chun-Ling Wang
4. Ji-Hua Wang
5. Justin A. Lemkul
6. Ya-Wei Zhao
7. Zanxia Cao
8. Jia-Feng Yu

In Numerical Analysis

1. Chun-Ling Wang
2. Ji-Hua Wang
3. Justin A. Lemkul
4. Yaoqi Zhou
5. Ya-Wei Zhao
6. Zanxia Cao
7. Jia-Feng Yu
8. Yuedong Yang

Citations in the corpus

• Natural protein sequences are more intrinsically disordered than random sequences (2016, methodology): “The time step for the MD integrator was set to 2 fs and LINCS [47] was applied to constrain all bond lengths.”
• From Proteins to Perturbed Hamiltonians: A Suite of Tutorials for the GROMACS-2018 Molecular Simulation Package [Article v1.0] (2019, methodology): “The method for applying constraints is LINCS, the Linear Constraint Solver [40, 41].”