Literature DB >> 25866491

Combined covalent-electrostatic model of hydrogen bonding improves structure prediction with Rosetta.

Matthew J O'Meara1, Andrew Leaver-Fay, Michael D Tyka, Amelie Stein, Kevin Houlihan, Frank DiMaio, Philip Bradley, Tanja Kortemme, David Baker, Jack Snoeyink, Brian Kuhlman.   

Abstract

Interactions between polar atoms are challenging to model because at very short ranges they form hydrogen bonds (H-bonds) that are partially covalent in character and exhibit strong orientation preferences; at longer ranges the orientation preferences are lost, but significant electrostatic interactions between charged and partially charged atoms remain. To simultaneously model these two types of behavior, we refined an orientation dependent model of hydrogen bonds [Kortemme et al. J. Mol. Biol. 2003, 326, 1239] used by the molecular modeling program Rosetta and then combined it with a distance-dependent Coulomb model of electrostatics. The functional form of the H-bond potential is physically motivated and parameters are fit so that H-bond geometries that Rosetta generates closely resemble H-bond geometries in high-resolution crystal structures. The combined potentials improve performance in a variety of scientific benchmarks including decoy discrimination, side chain prediction, and native sequence recovery in protein design simulations and establishes a new standard energy function for Rosetta.

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Year:  2015        PMID: 25866491      PMCID: PMC4390092          DOI: 10.1021/ct500864r

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  47 in total

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Review 2.  Force fields for protein simulations.

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Authors:  Firas Khatib; Seth Cooper; Michael D Tyka; Kefan Xu; Ilya Makedon; Zoran Popovic; David Baker; Foldit Players
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4.  Computational redesign of a mononuclear zinc metalloenzyme for organophosphate hydrolysis.

Authors:  Sagar D Khare; Yakov Kipnis; Per Greisen; Ryo Takeuchi; Yacov Ashani; Moshe Goldsmith; Yifan Song; Jasmine L Gallaher; Israel Silman; Haim Leader; Joel L Sussman; Barry L Stoddard; Dan S Tawfik; David Baker
Journal:  Nat Chem Biol       Date:  2012-02-05       Impact factor: 15.040

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Authors:  A T Hagler; E Huler; S Lifson
Journal:  J Am Chem Soc       Date:  1974-08-21       Impact factor: 15.419

Review 6.  Hydrogen bonding in globular proteins.

Authors:  E N Baker; R E Hubbard
Journal:  Prog Biophys Mol Biol       Date:  1984       Impact factor: 3.667

7.  Potential functions for hydrogen bonds in protein structure prediction and design.

Authors:  Alexandre V Morozov; Tanja Kortemme
Journal:  Adv Protein Chem       Date:  2005

8.  The Polarizable Atomic Multipole-based AMOEBA Force Field for Proteins.

Authors:  Yue Shi; Zhen Xia; Jiajing Zhang; Robert Best; Chuanjie Wu; Jay W Ponder; Pengyu Ren
Journal:  J Chem Theory Comput       Date:  2013       Impact factor: 6.006

9.  Emergence of protein fold families through rational design.

Authors:  Feng Ding; Nikolay V Dokholyan
Journal:  PLoS Comput Biol       Date:  2006-05-26       Impact factor: 4.475

10.  The impact of introducing a histidine into an apolar cavity site on docking and ligand recognition.

Authors:  Matthew Merski; Brian K Shoichet
Journal:  J Med Chem       Date:  2013-03-20       Impact factor: 7.446

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  99 in total

1.  Boosting protein stability with the computational design of β-sheet surfaces.

Authors:  Doo Nam Kim; Timothy M Jacobs; Brian Kuhlman
Journal:  Protein Sci       Date:  2016-01-13       Impact factor: 6.725

Review 2.  A humanized yeast system to analyze cleavage of prelamin A by ZMPSTE24.

Authors:  Eric D Spear; Rebecca F Alford; Tim D Babatz; Kaitlin M Wood; Otto W Mossberg; Kamsi Odinammadu; Khurts Shilagardi; Jeffrey J Gray; Susan Michaelis
Journal:  Methods       Date:  2019-01-06       Impact factor: 3.608

3.  Flex ddG: Rosetta Ensemble-Based Estimation of Changes in Protein-Protein Binding Affinity upon Mutation.

Authors:  Kyle A Barlow; Shane Ó Conchúir; Samuel Thompson; Pooja Suresh; James E Lucas; Markus Heinonen; Tanja Kortemme
Journal:  J Phys Chem B       Date:  2018-02-15       Impact factor: 2.991

4.  Rapid Sampling of Hydrogen Bond Networks for Computational Protein Design.

Authors:  Jack B Maguire; Scott E Boyken; David Baker; Brian Kuhlman
Journal:  J Chem Theory Comput       Date:  2018-04-20       Impact factor: 6.006

5.  Tertiary alphabet for the observable protein structural universe.

Authors:  Craig O Mackenzie; Jianfu Zhou; Gevorg Grigoryan
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-03       Impact factor: 11.205

6.  "Solvent hydrogen-bond occlusion": A new model of polar desolvation for biomolecular energetics.

Authors:  Andrea Bazzoli; John Karanicolas
Journal:  J Comput Chem       Date:  2017-03-20       Impact factor: 3.376

7.  Computational design of a specific heavy chain/κ light chain interface for expressing fully IgG bispecific antibodies.

Authors:  K J Froning; A Leaver-Fay; X Wu; S Phan; L Gao; F Huang; A Pustilnik; M Bacica; K Houlihan; Q Chai; J R Fitchett; J Hendle; B Kuhlman; S J Demarest
Journal:  Protein Sci       Date:  2017-07-31       Impact factor: 6.725

8.  Recognition of a Key Anchor Residue by a Conserved Hydrophobic Pocket Ensures Subunit Interface Integrity in DNA Clamps.

Authors:  Senthil K Perumal; Xiaojun Xu; Chunli Yan; Ivaylo Ivanov; Stephen J Benkovic
Journal:  J Mol Biol       Date:  2019-04-30       Impact factor: 5.469

9.  Comprehensive survey of the VxGΦL motif of PP2Cs from Oryza sativa reveals the critical role of the fourth position in regulation of ABA responsiveness.

Authors:  Seungsu Han; Ji-Young Lee; Yeongmok Lee; Tae-Houn Kim; Sangho Lee
Journal:  Plant Mol Biol       Date:  2019-09-20       Impact factor: 4.076

10.  Data in support of UbSRD: The Ubiquitin Structural Relational Database.

Authors:  Joseph S Harrison; Tim M Jacobs; Kevin Houlihan; Koenraad Van Doorslaer; Brian Kuhlman
Journal:  Data Brief       Date:  2015-10-19
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