Literature DB >> 30506159

Force field development phase II: Relaxation of physics-based criteria… or inclusion of more rigorous physics into the representation of molecular energetics.

A T Hagler1,2.   

Abstract

In the previous paper, we reviewed the origins of energy based calculations, and the early science of FF development. The initial efforts spanning the period from roughly the early 1970s to the mid to late 1990s saw the development of methodologies and philosophies of the derivation of FFs. The use of Cartesian coordinates, derivation of the H-bond potential, different functional forms including diagonal quadratic expressions, coupled valence FFs, functional form of combination rules, and out of plane angles, were all investigated in this period. The use of conformational energetics, vibrational frequencies, crystal structure and energetics, liquid properties, and ab initio data were all described to one degree or another in deriving and validating both the FF functional forms and force constants. Here we discuss the advances made since in improving the rigor and robustness of these initial FFs. The inability of the simple quadratic diagonal FF to accurately describe biomolecular energetics over a large domain of molecular structure, and intermolecular configurations, was pointed out in numerous studies. Two main approaches have been taken to overcome this problem. The first involves the introduction of error functions, either exploiting torsion terms or introducing explicit 2-D error correction grids. The results and remaining challenges of these functional forms is examined. The second approach has been to improve the representation of the physics of intra and intermolecular interactions. The latter involves including descriptions of polarizability, charge flux aka geometry dependent charges, more accurate representations of spatial electron density such as multipole moments, anisotropic nonbond potentials, nonbond and polarization flux, among others. These effects, though not as extensively studied, likely hold the key to achieving the rigorous reproduction of structural and energetic properties long sought in biomolecular simulations, and are surveyed here. In addition, the quality of training and validation observables are evaluated. The necessity of including an ample set of energetic and crystal observables is emphasized, and the inadequacy of free energy as a criterion for FF reliability discussed. Finally, in light of the results of applications of the two approaches to FF development, we propose a "recipe" of terms describing the physics of inter and intramolecular interactions whose inclusion in FFs would significantly improve our understanding of the energetics and dynamics of biomolecular systems resulting from molecular dynamics and other energy based simulations.

Keywords:  AMBER; AMOEBA; Anisotropic nonbond potentials; CFF; CHARMM; Charge flux; Combination rules; Consistent force field; Coupling terms; Cross terms; Drug discovery; Electrostatics; Force field derivation; Force fields; Free energy; GAFF; Hydrogen bond; Molecular dynamics; Molecular mechanics; Molecular simulation; Multipole moments; Nonbond flux; Nonbond interactions; OPLS; Polarizability; Polarizability flux; Potential functions; Protein simulation; QDF; Quantum derivative fitting; SDFF; VFF; Van der Waals

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Year:  2018        PMID: 30506159     DOI: 10.1007/s10822-018-0134-x

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  161 in total

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Journal:  J Comput Aided Mol Des       Date:  2016-09-16       Impact factor: 3.686

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Journal:  Chem Rev       Date:  2016-03-04       Impact factor: 60.622

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Journal:  Acta Crystallogr B Struct Sci Cryst Eng Mater       Date:  2016-08-01

10.  Nature of amide carbonyl--carbonyl interactions in proteins.

Authors:  Amit Choudhary; Deepa Gandla; Grant R Krow; Ronald T Raines
Journal:  J Am Chem Soc       Date:  2009-06-03       Impact factor: 15.419

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  14 in total

Review 1.  Biomolecular force fields: where have we been, where are we now, where do we need to go and how do we get there?

Authors:  Pnina Dauber-Osguthorpe; A T Hagler
Journal:  J Comput Aided Mol Des       Date:  2018-11-30       Impact factor: 3.686

2.  Accurate description of molecular dipole surface with charge flux implemented for molecular mechanics.

Authors:  Xudong Yang; Chengwen Liu; Brandon D Walker; Pengyu Ren
Journal:  J Chem Phys       Date:  2020-08-14       Impact factor: 3.488

3.  High Order Ab Initio Valence Force Field with Chemical Pattern Based Parameter Assignment.

Authors:  Xudong Yang; Chengwen Liu; Pengyu Ren
Journal:  J Comput Biophys Chem       Date:  2021-12-29

4.  Improving Force Field Accuracy by Training against Condensed-Phase Mixture Properties.

Authors:  Simon Boothroyd; Owen C Madin; David L Mobley; Lee-Ping Wang; John D Chodera; Michael R Shirts
Journal:  J Chem Theory Comput       Date:  2022-05-09       Impact factor: 6.578

5.  Bayesian-Inference-Driven Model Parametrization and Model Selection for 2CLJQ Fluid Models.

Authors:  Owen C Madin; Simon Boothroyd; Richard A Messerly; Josh Fass; John D Chodera; Michael R Shirts
Journal:  J Chem Inf Model       Date:  2022-02-07       Impact factor: 6.162

6.  Transition State Force Field for the Asymmetric Redox-Relay Heck Reaction.

Authors:  Anthony R Rosales; Sean P Ross; Paul Helquist; Per-Ola Norrby; Matthew S Sigman; Olaf Wiest
Journal:  J Am Chem Soc       Date:  2020-05-14       Impact factor: 15.419

7.  Implementation of Geometry-Dependent Charge Flux into the Polarizable AMOEBA+ Potential.

Authors:  Chengwen Liu; Jean-Philip Piquemal; Pengyu Ren
Journal:  J Phys Chem Lett       Date:  2019-12-30       Impact factor: 6.475

8.  Stereoselectivity Predictions for the Pd-Catalyzed 1,4-Conjugate Addition Using Quantum-Guided Molecular Mechanics.

Authors:  Jessica Wahlers; Michael Maloney; Farbod Salahi; Anthony R Rosales; Paul Helquist; Per-Ola Norrby; Olaf Wiest
Journal:  J Org Chem       Date:  2021-03-26       Impact factor: 4.354

9.  Improving small molecule force fields by identifying and characterizing small molecules with inconsistent parameters.

Authors:  Jordan N Ehrman; Victoria T Lim; Caitlin C Bannan; Nam Thi; Daisy Y Kyu; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2021-01-28       Impact factor: 3.686

10.  Additive CHARMM36 Force Field for Nonstandard Amino Acids.

Authors:  Anastasia Croitoru; Sang-Jun Park; Anmol Kumar; Jumin Lee; Wonpil Im; Alexander D MacKerell; Alexey Aleksandrov
Journal:  J Chem Theory Comput       Date:  2021-05-19       Impact factor: 6.578

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