Literature DB >> 34648712

Kinetics of Phenol Escape from the Insulin R6 Hexamer.

Adam Antoszewski1, Chatipat Lorpaiboon1, John Strahan1, Aaron R Dinner1,2,3.   

Abstract

Therapeutic preparations of insulin often contain phenolic molecules, which can impact both pharmacokinetics and shelf life. Thus, understanding the interactions of insulin and phenolic molecules can aid in designing improved therapeutics. In this study, we use molecular dynamics to investigate phenol release from the insulin hexamer. Leveraging recent advances in methods for analyzing molecular dynamics data, we expand on existing simulation studies to identify and quantitatively characterize six phenol binding/unbinding pathways for wild-type and A10 Ile → Val and B13 Glu → Gln mutant insulins. A number of these pathways involve large-scale opening of the primary escape channel, suggesting that the hexamer is much more dynamic than previously appreciated. We show that phenol unbinding is a multipathway process, with no single pathway representing more than 50% of the reactive current and all pathways representing at least 10%. We use the mutant simulations to show how the contributions of specific pathways can be rationally manipulated. Predicting the net effects of mutations is more challenging because the kinetics depend on all of the pathways, demanding quantitatively accurate simulations and experiments.

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Year:  2021        PMID: 34648712      PMCID: PMC8878557          DOI: 10.1021/acs.jpcb.1c06544

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  54 in total

1.  Dynamic coupling between coordinates in a model for biomolecular isomerization.

Authors:  Ao Ma; Ambarish Nag; Aaron R Dinner
Journal:  J Chem Phys       Date:  2006-04-14       Impact factor: 3.488

2.  Molecular basis for insulin fibril assembly.

Authors:  Magdalena I Ivanova; Stuart A Sievers; Michael R Sawaya; Joseph S Wall; David Eisenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-28       Impact factor: 11.205

3.  Distinction of structural reorganisation and ligand binding in the T<==>R transition of insulin on the basis of allosteric models.

Authors:  E Jacoby; P Krüger; Y Karatas; A Wollmer
Journal:  Biol Chem Hoppe Seyler       Date:  1993-09

Review 4.  Insulin glargine 300 U/mL and insulin degludec: A review of the current evidence comparing these two second-generation basal insulin analogues.

Authors:  Alice Cheng; Timothy S Bailey; Didac Mauricio; Ronan Roussel
Journal:  Diabetes Metab Res Rev       Date:  2020-04-21       Impact factor: 4.876

5.  The lifetime of insulin hexamers.

Authors:  U Hassiepen; M Federwisch; T Mülders; A Wollmer
Journal:  Biophys J       Date:  1999-09       Impact factor: 4.033

6.  CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields.

Authors:  K Vanommeslaeghe; E Hatcher; C Acharya; S Kundu; S Zhong; J Shim; E Darian; O Guvench; P Lopes; I Vorobyov; A D Mackerell
Journal:  J Comput Chem       Date:  2010-03       Impact factor: 3.376

7.  Ligand binding to wild-type and E-B13Q mutant insulins: a three-state allosteric model system showing half-site reactivity.

Authors:  C R Bloom; W E Choi; P S Brzovic; J J Ha; S T Huang; N C Kaarsholm; M F Dunn
Journal:  J Mol Biol       Date:  1995-01-27       Impact factor: 5.469

8.  All-atom empirical potential for molecular modeling and dynamics studies of proteins.

Authors:  A D MacKerell; D Bashford; M Bellott; R L Dunbrack; J D Evanseck; M J Field; S Fischer; J Gao; H Guo; S Ha; D Joseph-McCarthy; L Kuchnir; K Kuczera; F T Lau; C Mattos; S Michnick; T Ngo; D T Nguyen; B Prodhom; W E Reiher; B Roux; M Schlenkrich; J C Smith; R Stote; J Straub; M Watanabe; J Wiórkiewicz-Kuczera; D Yin; M Karplus
Journal:  J Phys Chem B       Date:  1998-04-30       Impact factor: 2.991

9.  Mechanism of insulin fibrillation: the structure of insulin under amyloidogenic conditions resembles a protein-folding intermediate.

Authors:  Qing-xin Hua; Michael A Weiss
Journal:  J Biol Chem       Date:  2004-02-26       Impact factor: 5.157

10.  CHARMM-GUI Input Generator for NAMD, GROMACS, AMBER, OpenMM, and CHARMM/OpenMM Simulations Using the CHARMM36 Additive Force Field.

Authors:  Jumin Lee; Xi Cheng; Jason M Swails; Min Sun Yeom; Peter K Eastman; Justin A Lemkul; Shuai Wei; Joshua Buckner; Jong Cheol Jeong; Yifei Qi; Sunhwan Jo; Vijay S Pande; David A Case; Charles L Brooks; Alexander D MacKerell; Jeffery B Klauda; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2015-12-03       Impact factor: 6.006

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  1 in total

Review 1.  Progress in Simulation Studies of Insulin Structure and Function.

Authors:  Biswajit Gorai; Harish Vashisth
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-20       Impact factor: 6.055

  1 in total

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