Supporting APBS

Please register as a user!

Please help ensure continued support for APBS-PDB2PQR by registering your use of our software.

Citing our software

If you use APBS in your research, please cite one or more of the following papers:

  • Jurrus E, Engel D, Star K, Monson K, Brandi J, Felberg LE, Brookes DH, Wilson L, Chen J, Liles K, Chun M, Li P, Gohara DW, Dolinsky T, Konecny R, Koes DR, Nielsen JE, Head-Gordon T, Geng W, Krasny R, Wei G-W, Holst MJ, McCammon JA, Baker NA. Improvements to the APBS biomolecular solvation software suite. Protein Sci, 27 (1), 112-128, 2018.

    1. Bank and M. Holst, A New Paradigm for Parallel Adaptive Meshing Algorithms. SIAM Review 45, 291-323, 2003.

  • Baker NA, Sept D, Joseph S, Holst MJ, McCammon JA. Electrostatics of nanosystems: application to microtubules and the ribosome. Proc. Natl. Acad. Sci. USA 98, 10037-10041 2001.

    1. Holst, Adaptive numerical treatment of elliptic systems on manifolds. Advances in Computational Mathematics 15, 139-191, 2001

    1. Holst and F. Saied, Numerical solution of the nonlinear Poisson-Boltzmann equation: Developing more robust and efficient methods. J. Comput. Chem. 16, 337-364, 1995.

    1. Holst and F. Saied, Multigrid solution of the Poisson-Boltzmann equation. J. Comput. Chem. 14, 105-113, 1993.

Supporting organizations

The PDB2PQR authors would like to give special thanks to the supporting organizations behind the APBS and PDB2PQR software:

National Institutes of Health

Primary source of funding for APBS via grant GM069702

National Biomedical Computation Resource

Deployment and computational resources support from 2002 to 2020

National Partnership for Advanced Computational Infrastructure

Funding and computational resources

Washington University in St. Louis

Start-up funding