|Operating system||Windows, Mac, and Unix/Linux|
Tinker is a computer software application for molecular dynamics simulation with a complete and general package for molecular mechanics and molecular dynamics, with some special features for biopolymers. The heart of the Tinker package is a modular set of callable routines which allow the manipulation of coordinates and evaluation of potential energy and derivatives in a straightforward fashion.
Tinker works on Windows, Mac, and Unix/Linux and its source code is available free of charge under a restrictive license. The code was written in FORTRAN77 with common extensions and some C. The code is maintained by Jay Ponder at the Washington University School of Medicine.
Programs are provided to perform many functions including:
- energy minimization over Cartesian coordinates, torsional angles or rigid bodies via conjugate gradient, variable metric or a truncated Newton method;
- molecular, stochastic, and rigid body dynamics with periodic boundaries and control of temperature and pressure;
- normal mode vibrational analysis;
- distance geometry including an efficient random pairwise metrization;
- building protein and nucleic acid structures from sequence;
- simulated annealing with various cooling protocols;
- analysis and breakdown of single point potential energies;
- verification of analytical derivatives of standard and user defined potentials;
- location of a transition state between two minima;
- full energy surface search via a "Conformation Scanning" method;
- free energy calculations via free energy perturbation or weighted histogram analysis;
- fitting of intermolecular potential parameters to structural and thermodynamic data; and
- global optimization via energy surface smoothing, including a "Potential Smoothing and Search" (PSS) method.
- List of software for Monte Carlo molecular modeling
- List of software for molecular mechanics modeling
- Molecular dynamics
- Molecular geometry
- Molecular design software
- Force field implementation
- Ren, Pengyu; Ponder, Jay W. (2003). "Polarizable Atomic Multipole Water Model for Molecular Mechanics Simulation". The Journal of Physical Chemistry B 107 (24): 5933–5947. doi:10.1021/jp027815+.
- Pappu, Rohit V.; Hart, Reece K.; Ponder, Jay W. (1998). "Analysis and Application of Potential Energy Smoothing and Search Methods for Global Optimization". The Journal of Physical Chemistry B 102 (48): 9725. doi:10.1021/jp982255t.
- Kong, Yong; Ponder, Jay W. (1997). "Calculation of the reaction field due to off-center point multipoles". The Journal of Chemical Physics 107 (2): 481. Bibcode:1997JChPh.107..481K. doi:10.1063/1.474409.
- Dudek, Michael J.; Ponder, Jay W. (1995). "Accurate modeling of the intramolecular electrostatic energy of proteins". Journal of Computational Chemistry 16 (7): 791. doi:10.1002/jcc.540160702.
- Kundrot, Craig E.; Ponder, Jay W.; Richards, Frederic M. (1991). "Algorithms for calculating excluded volume and its derivatives as a function of molecular conformation and their use in energy minimization". Journal of Computational Chemistry 12 (3): 402. doi:10.1002/jcc.540120314.
- Ponder, Jay W.; Richards, Frederic M. (1987). "An efficient newton-like method for molecular mechanics energy minimization of large molecules". Journal of Computational Chemistry 8 (7): 1016. doi:10.1002/jcc.540080710.