Literature DB >> 19545155

Electronic structure, binding energy, and solvation structure of the streptavidin-biotin supramolecular complex: ONIOM and 3D-RISM study.

Qingbin Li1, Sergey Gusarov, Stephane Evoy, Andriy Kovalenko.   

Abstract

We studied the electronic structure of the binding site of the streptavidin-biotin complex by using the ONIOM method at the HF/STO-3G:UFF level and obtained the solvation structure of the complex by using the statistical-mechanical, three-dimensional molecular theory of solvation (aka three-dimensional reference interaction site model, 3D-RISM-KH). All the streptavidin residues located within 3 A of the biotin residue were included in the quantum mechanical (QM) layer. In total, 16 residues including biotin with 274 atoms were in the QM layer, in which five residues are responsible for the hydrophobic interactions and nine residues for the hydrogen-bonding/electrostatic interaction with biotin. We found a geometry change of the urea moiety of the biotin bound in the network of van der Waals and polar interactions. Compared to the isolated biotin, the bridging C-C bond of the biotin urea moiety in the binding site increases in length as a result of the pi-sigma interaction with the surrounding streptavidin Trp residues. This extends the previous picture of the geometry change from the ureido group to the whole bicyclic urea moiety. We have evaluated the performance of 15 density functional methods and 11 basis sets by single point calculation for the binding energy of the optimized cooperative binding complex structure. Closest to the experimental value of 18.3 kcal/mol is the binding free energy of 19.6 kcal/mol obtained for the AN model at B3LYP/6-31G(d):UFF//HF/STO-3G:UFF level. The hybrid DFT methods with enhanced assessment for nonbonded interactions such as PBE1PBE, MPW1B95, and MPWB1K can also give accurate binding energy with the use of diffuse functionals (i.e., mPWB1K/6-31+G(d)). The 3D hydration structure of the unliganded streptavidin and the streptavidin-biotin complex obtained by using the 3D-RISM-KH molecular theory of solvation shows there is one immobilized water molecule at the biotin urea moiety, acting as a water bridge between the sulfur and the nitrogen of the NH group close to Ser45. This suggests that, in the docking process, biotin replaces six of the seven water molecules attached to the unliganded streptavidin binding site, and one remaining water molecule is squeezed into the gap between the Btn, Tyr43, Ser45, Trp92, and Trp79 residues in the binding pocket.

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Year:  2009        PMID: 19545155     DOI: 10.1021/jp902668c

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


  8 in total

1.  Streptavidin and its biotin complex at atomic resolution.

Authors:  Isolde Le Trong; Zhizhi Wang; David E Hyre; Terry P Lybrand; Patrick S Stayton; Ronald E Stenkamp
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2011-08-09

2.  Dissociation kinetics of the streptavidin-biotin interaction measured using direct electrospray ionization mass spectrometry analysis.

Authors:  Lu Deng; Elena N Kitova; John S Klassen
Journal:  J Am Soc Mass Spectrom       Date:  2012-12-18       Impact factor: 3.109

3.  How the biotin-streptavidin interaction was made even stronger: investigation via crystallography and a chimaeric tetramer.

Authors:  Claire E Chivers; Apurba L Koner; Edward D Lowe; Mark Howarth
Journal:  Biochem J       Date:  2011-04-01       Impact factor: 3.857

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6.  Integration of In Silico Strategies for Drug Repositioning towards P38α Mitogen-Activated Protein Kinase (MAPK) at the Allosteric Site.

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Journal:  Pharmaceutics       Date:  2022-07-13       Impact factor: 6.525

7.  Efficient asymmetric synthesis of 1-cyano-tetrahydroisoquinolines from lipase dual activity and opposite enantioselectivities in α-Aminonitrile resolution.

Authors:  Morakot Sakulsombat; Pornrapee Vongvilai; Olof Ramström
Journal:  Chemistry       Date:  2014-07-23       Impact factor: 5.236

8.  Combined Machine Learning and Molecular Modelling Workflow for the Recognition of Potentially Novel Fungicides.

Authors:  Ozren Jović; Tomislav Šmuc
Journal:  Molecules       Date:  2020-05-08       Impact factor: 4.411

  8 in total

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