Literature DB >> 16120673

Kernel energy method: application to insulin.

Lulu Huang1, Lou Massa, Jerome Karle.   

Abstract

In two recent articles a method has been described for calculating the total energy of large molecules. The method is called the kernel energy method (KEM) and requires knowledge of the crystal structure of interest. Calculations are simplified by adopting the approximation that a full molecule could be represented by smaller kernels of atoms. The KEM was illustrated with peptides ranging in size from 4 to 19 amino acid residues, and was found to deliver accurate results. The use of the KEM does not depend upon a particular choice of basis functions and is applicable across quantum computational methods of differing levels of accuracy. These earlier investigations suggested that the KEM could be used to calculate the ab initio quantum mechanical energy of proteins. An application has been made with the protein insulin, composed of 51 aa. Accurate KEM Hartree-Fock energies are obtained for the separate A and B chains of insulin and for their composite structure in the full insulin molecule. A limited basis is used to make possible calculation of the full insulin molecule, which can be used as a standard of accuracy for the KEM calculation. The KEM result obtained is E(KEM) = -21104.7656 a.u. It differs from a full molecule Hartree-Fock result by only 0.000002%. The solvent molecules can be treated effectively as a separate kernel. The KEM result for the fully solvated insulin molecule is E(KEM) = -26275.4127 a.u., differing from the full molecule Hartree-Fock result by as little as 0.000023%.

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Year:  2005        PMID: 16120673      PMCID: PMC1200310          DOI: 10.1073/pnas.0506378102

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  3 in total

1.  Assay of plasma insulin in human subjects by immunological methods.

Authors:  R S YALOW; S A BERSON
Journal:  Nature       Date:  1959-11-21       Impact factor: 49.962

2.  The amino-acid sequence in the phenylalanyl chain of insulin. I. The identification of lower peptides from partial hydrolysates.

Authors:  F SANGER; H TUPPY
Journal:  Biochem J       Date:  1951-09       Impact factor: 3.857

3.  Human insulin from recombinant DNA technology.

Authors:  I S Johnson
Journal:  Science       Date:  1983-02-11       Impact factor: 47.728

  3 in total
  10 in total

1.  The Kernel Energy Method: application to a tRNA.

Authors:  Lulu Huang; Lou Massa; Jerome Karle
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-23       Impact factor: 11.205

2.  Drug target interaction energies by the kernel energy method in aminoglycoside drugs and ribosomal A site RNA targets.

Authors:  Lulu Huang; Lou Massa; Jerome Karle
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-01       Impact factor: 11.205

3.  The kernel energy method of quantum mechanical approximation carried to fourth-order terms.

Authors:  Lulu Huang; Lou Massa; Jerome Karle
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-04       Impact factor: 11.205

4.  Calculation of strong and weak interactions in TDA1 and RangDP52 by the kernel energy method.

Authors:  Lulu Huang; Lou Massa; Isabella Karle; Jerome Karle
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-20       Impact factor: 11.205

5.  Protoribosome by quantum kernel energy method.

Authors:  Lulu Huang; Miri Krupkin; Anat Bashan; Ada Yonath; Lou Massa
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-26       Impact factor: 11.205

6.  Modeling biophysical and biological properties from the characteristics of the molecular electron density, electron localization and delocalization matrices, and the electrostatic potential.

Authors:  Chérif F Matta
Journal:  J Comput Chem       Date:  2014-04-29       Impact factor: 3.376

7.  Kernel energy method applied to vesicular stomatitis virus nucleoprotein.

Authors:  Lulu Huang; Lou Massa; Jerome Karle
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

8.  Predicting Accurate Lead Structures for Screening Molecular Libraries: A Quantum Crystallographic Approach.

Authors:  Suman Kumar Mandal; Parthapratim Munshi
Journal:  Molecules       Date:  2021-04-29       Impact factor: 4.411

9.  Linear-Scaling Systematic Molecular Fragmentation Approach for Perturbation Theory and Coupled-Cluster Methods.

Authors:  Uğur Bozkaya; Betül Ermiş
Journal:  J Chem Theory Comput       Date:  2022-08-16       Impact factor: 6.578

Review 10.  Contributions of charge-density research to medicinal chemistry.

Authors:  Birger Dittrich; Chérif F Matta
Journal:  IUCrJ       Date:  2014-09-23       Impact factor: 4.769

  10 in total

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