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An Automated Force Field Topology Builder (ATB) and Repository: Version 1.0
Abstract
The Automated force field Topology Builder (ATB, http://compbio.biosci.uq.edu.au/atb ) is a Web-accessible server that can provide topologies and parameters for a wide range of molecules appropriate for use in molecular simulations, computational drug design, and X-ray refinement. The ATB has three primary functions: (1) to act as a repository for molecules that have been parametrized as part of the GROMOS family of force fields, (2) to act as a repository for pre-equilibrated systems for use as starting configurations in molecular dynamics simulations (solvent mixtures, lipid systems pre-equilibrated to adopt a specific phase, etc.), and (3) to generate force field descriptions of novel molecules compatible with the GROMOS family of force fields in a variety of formats (GROMOS, GROMACS, and CNS). Force field descriptions of novel molecules are derived using a multistep process in which results from quantum mechanical (QM) calculations are combined with a knowledge-based approach to ensure compatibility (as far as possible) with a specific parameter set of the GROMOS force field. The ATB has several unique features: (1) It requires that the user stipulate the protonation and tautomeric states of the molecule. (2) The symmetry of the molecule is analyzed to ensure that equivalent atoms are assigned identical parameters. (3) Charge groups are assigned automatically. (4) Where the assignment of a given parameter is ambiguous, a range of possible alternatives is provided. The ATB also provides several validation tools to assist the user to assess the degree to which the topology generated may be appropriate for a given task. In addition to detailing the steps involved in generating a force field topology compatible with a specific GROMOS parameter set (GROMOS 53A6), the challenges involved in the automatic generation of force field parameters for atomic simulations in general are discussed.
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Cites
Density-functional thermochemistry. III. The role of exact exchange
Becke, A. D. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464913 · Cited by 103,767
Lee, C., Yang, W., & Parr, R. G. (1988) · Physical Review B · doi:10.1103/physrevb.37.785 · Cited by 100,874
Molecular dynamics with coupling to an external bath
Berendsen, H. J. C., Postma, J. P. M., van Gunsteren, W. F., DiNola, A., & Haak, J. R. (1984) · The Journal of Chemical Physics · doi:10.1063/1.448118 · Cited by 30,700
Features and development of Coot
Emsley, P., Lohkamp, B., Scott, W. G., & Cowtan, K. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444910007493 · Cited by 29,915
Accurate and simple analytic representation of the electron-gas correlation energy
Perdew, J. P., & Wang, Y. (1992) · Physical Review B · doi:10.1103/physrevb.45.13244 · Cited by 25,089
PHENIX : a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., et al. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909052925 · Cited by 23,716
Ryckaert, J.-P., Ciccotti, G., & Berendsen, H. J. C. (1977) · Journal of Computational Physics · doi:10.1016/0021-9991(77)90098-5 · Cited by 21,239
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
General atomic and molecular electronic structure system
Schmidt, M. W., Baldridge, K. K., Boatz, J. A., Elbert, S. T., Gordon, M. S., Jensen, J. H., Koseki, S., Matsunaga, N., Nguyen, K. A., Su, S., et al. (1993) · Journal of Computational Chemistry · doi:10.1002/jcc.540141112 · Cited by 20,204
Development and testing of a general amber force field
Wang, J., Wolf, R. M., Caldwell, J. W., Kollman, P. A., & Case, D. A. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.20035 · Cited by 19,506
The CCP4 suite: programs for protein crystallography
Collaborative Computational Project, N. 4. (1994) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444994003112 · Cited by 17,270
Crystallography & NMR System: A New Software Suite for Macromolecular Structure Determination
Brünger, A. T., Adams, P. D., Clore, G. M., DeLano, W. L., Gros, P., Grosse-Kunstleve, R. W., Jiang, J. S., Kuszewski, J., Nilges, M., Pannu, N. S., et al. (1998) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444998003254 · Cited by 15,715
Jorgensen, W. L., Maxwell, D. S., & Tirado-Rives, J. (1996) · Journal of the American Chemical Society · doi:10.1021/ja9621760 · Cited by 15,409
Dewar, M. J. S., Zoebisch, E. G., Healy, E. F., & Stewart, J. J. P. (1985) · Journal of the American Chemical Society · doi:10.1021/ja00299a024 · Cited by 13,074
Electronic Population Analysis on LCAO–MO Molecular Wave Functions. I
Mulliken, R. S. (1955) · The Journal of Chemical Physics · doi:10.1063/1.1740588 · Cited by 11,049
Miertuš, S., Scrocco, E., & Tomasi, J. (1981) · Chemical Physics · doi:10.1016/0301-0104(81)85090-2 · Cited by 8,937
Bayly, C. I., Cieplak, P., Cornell, W., & Kollman, P. A. (1993) · The Journal of Physical Chemistry · doi:10.1021/j100142a004 · Cited by 8,081
PHENIX: a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., et al. (2012) · International Tables for Crystallography · doi:10.1107/97809553602060000865 · Cited by 7,334
Interaction Models for Water in Relation to Protein Hydration
Berendsen, H. J. C., Postma, J. P. M., van Gunsteren, W. F., & Hermans, J. (1981) · The Jerusalem Symposia on Quantum Chemistry and Biochemistry · doi:10.1007/978-94-015-7658-1_21 · Cited by 5,654
Automatic atom type and bond type perception in molecular mechanical calculations
Wang, J., Wang, W., Kollman, P. A., & Case, D. A. (2006) · Journal of Molecular Graphics and Modelling · doi:10.1016/j.jmgm.2005.12.005 · Cited by 5,477
Merck molecular force field. I. Basis, form, scope, parameterization, and performance of MMFF94
Halgren, T. A. (1996) · Journal of Computational Chemistry · doi:10.1002/(sici)1096-987x(199604)17:5/6<490::aid-jcc1>3.0.co;2-p · Cited by 5,306
Jorgensen, W. L., & Tirado-Rives, J. (1988) · Journal of the American Chemical Society · doi:10.1021/ja00214a001 · Cited by 4,997
PRODRG: a tool for high-throughput crystallography of protein–ligand complexes
Schüttelkopf, A. W., & van Aalten, D. M. F. (2004) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444904011679 · Cited by 4,804
Oostenbrink, C., Villa, A., Mark, A. E., & Van Gunsteren, W. F. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.20090 · Cited by 3,719
Self-citationConformational analysis. 130. MM2. A hydrocarbon force field utilizing V1 and V2 torsional terms
Allinger, N. L. (1977) · Journal of the American Chemical Society · doi:10.1021/ja00467a001 · Cited by 3,556
An approach to computing electrostatic charges for molecules
Singh, U. C., & Kollman, P. A. (1984) · Journal of Computational Chemistry · doi:10.1002/jcc.540050204 · Cited by 3,428
Jakalian, A., Jack, D. B., & Bayly, C. I. (2002) · Journal of Computational Chemistry · doi:10.1002/jcc.10128 · Cited by 3,426
MOPAC: A semiempirical molecular orbital program
Stewart, J. J. P. (1990) · Journal of Computer-Aided Molecular Design · doi:10.1007/bf00128336 · Cited by 2,897
Molecular mechanics. The MM3 force field for hydrocarbons. 1
Allinger, N. L., Yuh, Y. H., & Lii, J. H. (1989) · Journal of the American Chemical Society · doi:10.1021/ja00205a001 · Cited by 2,810
REFMAC 5 dictionary: organization of prior chemical knowledge and guidelines for its use
Vagin, A. A., Steiner, R. A., Lebedev, A. A., Potterton, L., McNicholas, S., Long, F., & Murshudov, G. N. (2004) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444904023510 · Cited by 1,350
Version 1.2 of the Crystallography and NMR system
Brunger, A. T. (2007) · Nature Protocols · doi:10.1038/nprot.2007.406 · Cited by 1,336
Moriarty, N. W., Grosse-Kunstleve, R. W., & Adams, P. D. (2009) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909029436 · Cited by 1,330
Beutler, T. C., Mark, A. E., van Schaik, R. C., Gerber, P. R., & van Gunsteren, W. F. (1994) · Chemical Physics Letters · doi:10.1016/0009-2614(94)00397-1 · Cited by 1,148
Self-citationHalgren, T. A. (1996) · Journal of Computational Chemistry · doi:10.1002/(sici)1096-987x(199604)17:5/6<520::aid-jcc2>3.0.co;2-w · Cited by 1,130
The GROMOS software for biomolecular simulation: GROMOS05
Christen, M., Hünenberger, P. H., Bakowies, D., Baron, R., Bürgi, R., Geerke, D. P., Heinz, T. N., Kastenholz, M. A., Kräutler, V., Oostenbrink, C., et al. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20303 · Cited by 646
Self-citationComputer Simulation of Liquids
Allen, M. P., Tildesley, D. J., & Banavar, J. R. (1989) · Physics Today · doi:10.1063/1.2810937 · Cited by 637
Zacharias, M., Straatsma, T. P., & McCammon, J. A. (1994) · The Journal of Chemical Physics · doi:10.1063/1.466707 · Cited by 533
Validation of the 53A6 GROMOS force field
Oostenbrink, C., Soares, T. A., van der Vegt, N. F. A., & van Gunsteren, W. F. (2005) · European Biophysics Journal · doi:10.1007/s00249-004-0448-6 · Cited by 485
Self-citationPatel, S., & Brooks, C. L. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.10355 · Cited by 470
Patel, S., Mackerell, A. D., & Brooks, C. L. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.20077 · Cited by 459
Computer Simulation of Biomolecular Systems: Theoretical and Experimental Applications
van Gunsteren, W. F., & Weiner, P. K. (1989) · Medical Entomology and Zoology · Cited by 441
The electronic structure of conjugated systems. VI
Chirgwin, B. H., & Coulson, C. A. (1950) · Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences · doi:10.1098/rspa.1950.0053 · Cited by 373
An improved force field (MM4) for saturated hydrocarbons
Allinger, N. L., Chen, K., & Lii, J.-H. (1996) · Journal of Computational Chemistry · doi:10.1002/(sici)1096-987x(199604)17:5/6<642::aid-jcc6>3.0.co;2-u · Cited by 366
Bailey, S., Fairlamb, A. H., & Hunter, W. N. (1994) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444993011898 · Cited by 357
Mobley, D. L., Bayly, C. I., Cooper, M. D., Shirts, M. R., & Dill, K. A. (2009) · Journal of Chemical Theory and Computation · doi:10.1021/ct800409d · Cited by 345
Calculation of intramolecular force fields from second-derivative tensors
Seminario, J. M. (1996) · International Journal of Quantum Chemistry · doi:10.1002/(sici)1097-461x(1996)60:7<1271::aid-qua8>3.0.co;2-w · Cited by 309
A new GROMOS force field for hexopyranose‐based carbohydrates
Lins, R. D., & Hünenberger, P. H. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20275 · Cited by 306
Nicholls, A., Mobley, D. L., Guthrie, J. P., Chodera, J. D., Bayly, C. I., Cooper, M. D., & Pande, V. S. (2008) · Journal of Medicinal Chemistry · doi:10.1021/jm070549+ · Cited by 275
Jayaram, B., Sprous, D., & Beveridge, D. L. (1998) · The Journal of Physical Chemistry B · doi:10.1021/jp982007x · Cited by 258
A Blind Challenge for Computational Solvation Free Energies: Introduction and Overview
Guthrie, J. P. (2009) · The Journal of Physical Chemistry B · doi:10.1021/jp806724u · Cited by 207
Practical Considerations for Building GROMOS-Compatible Small-Molecule Topologies
Lemkul, J. A., Allen, W. J., & Bevan, D. R. (2010) · Journal of Chemical Information and Modeling · doi:10.1021/ci100335w · Cited by 197
The SAMPL2 blind prediction challenge: introduction and overview
Geballe, M. T., Skillman, A. G., Nicholls, A., Guthrie, J. P., & Taylor, P. J. (2010) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-010-9350-8 · Cited by 192
Crystallographic refinement of ligand complexes
Kleywegt, G. J. (2007) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444906022657 · Cited by 172
CHARMMing: A New, Flexible Web Portal for CHARMM
Miller, B. T., Singh, R. P., Klauda, J. B., Hodošček, M., Brooks, B. R., & Woodcock, H. L. (2008) · Journal of Chemical Information and Modeling · doi:10.1021/ci800133b · Cited by 129
Malde, A. K., & Mark, A. E. (2010) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-010-9397-6 · Cited by 28
Self-citation
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Abraham, M. J., Murtola, T., Schulz, R., Páll, S., Smith, J. C., Hess, B., & Lindahl, E. (2015) · SoftwareX · doi:10.1016/j.softx.2015.06.001 · Cited by 27,190
ACPYPE - AnteChamber PYthon Parser interfacE
Sousa da Silva, A. W., & Vranken, W. F. (2012) · BMC Research Notes · doi:10.1186/1756-0500-5-367 · Cited by 3,134
Jewett, A. I., Stelter, D., Lambert, J., Saladi, S. M., Roscioni, O. M., Ricci, M., Autin, L., Maritan, M., Bashusqeh, S. M., Keyes, T., et al. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.166841 · Cited by 521
Koziara, K. B., Stroet, M., Malde, A. K., & Mark, A. E. (2014) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-014-9713-7 · Cited by 502
Self-citationMicelle-directed chiral seeded growth on anisotropic gold nanocrystals
González-Rubio, G., Mosquera, J., Kumar, V., Pedrazo-Tardajos, A., Llombart, P., Solís, D. M., Lobato, I., Noya, E. G., Guerrero-Martínez, A., Taboada, J. M., et al. (2020) · Science · doi:10.1126/science.aba0980 · Cited by 435
Metadata
- Authors
- Malde, A. K., Zuo, L., Breeze, M., Stroet, M., Poger, D., Nair, P. C., Oostenbrink, C., & Mark, A. E.
- Venue
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-11-15
- Volume
- 7
- Issue
- 12
- Pages
- 4026-4037
- ISSN
- 1549-9618 (ISSN-L)
- 1549-9626
- OpenAlex
- W2037788435
- Cited by
- 1,872
- References
- 55
- FWCI
- 12.34
- Type
- journal article
- Language
- en
- Open access
- closed
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