Literature DB >> 32439436

Computational design of oligosaccharide producing levansucrase from Bacillus licheniformis RN-01 to improve its thermostability for production of levan-type fructooligosaccharides from sucrose.

Methus Klaewkla1, Rath Pichyangkura2, Thanapon Charoenwongpaiboon3, Karan Wangpaiboon2, Surasak Chunsrivirot4.   

Abstract

Levansucrase catalyzes production of levan and levan-type fructooligosaccharides (LFOs) with potential applications in food and pharmaceutical industries such as prebiotics and anti-tumor agents. Previous study found that Y246S mutant of Bacillus licheniformis RN-01 levansucrase (oligosaccharide producing levansucrase, OPL) could effectively produce LFOs but its thermostability is limited at high temperature. In this study, molecular dynamics (MD) and computational protein design were used to create mutants with higher thermostability than OPL by rigidifying highly flexible residues on enzyme surface. MD results show that highly flexible residues suitable for design are K82, N83, D179, and Q308. Two approaches were employed to improve their interactions by allowing them to be amino acids that could potentially form favorable interactions with their neighboring residues or natural amino acids except G, P and C. Flexibilities of designed residues of K82H, N83R, Q308S and K82H/N83R mutants are lower than those of OPL. Experimental results show that characteristics and product patterns of designed mutants are relatively similar to those of OPL. K82H/N83R mutant has higher thermostability than OPL with 1.7-fold increase in t1/2. Circular dichroism result suggests that designed mutations do not drastically affect secondary structures. This study shows how computational technique can engineer enzyme for thermostability improvement.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Computational protein design; Flexibility; Levansucrase; Molecular dynamics simulations; Oligosaccharides; Thermostability

Mesh:

Substances:

Year:  2020        PMID: 32439436     DOI: 10.1016/j.ijbiomac.2020.05.102

Source DB:  PubMed          Journal:  Int J Biol Macromol        ISSN: 0141-8130            Impact factor:   6.953


  6 in total

1.  Computational design of Lactobacillus Acidophilus α-L-rhamnosidase to increase its structural stability.

Authors:  Thassanai Sitthiyotha; Methus Klaewkla; Kuakarun Krusong; Rath Pichyangkura; Surasak Chunsrivirot
Journal:  PLoS One       Date:  2022-05-25       Impact factor: 3.752

2.  Global diversity of the gene encoding the Pfs25 protein-a Plasmodium falciparum transmission-blocking vaccine candidate.

Authors:  Pornpawee Sookpongthai; Korawich Utayopas; Thassanai Sitthiyotha; Theerakamol Pengsakul; Morakot Kaewthamasorn; Kittikhun Wangkanont; Pongchai Harnyuttanakorn; Surasak Chunsrivirot; Sittiporn Pattaradilokrat
Journal:  Parasit Vectors       Date:  2021-11-08       Impact factor: 3.876

Review 3.  Evaluating Enzymatic Productivity-The Missing Link to Enzyme Utility.

Authors:  Khawar Sohail Siddiqui; Haluk Ertan; Anne Poljak; Wallace J Bridge
Journal:  Int J Mol Sci       Date:  2022-06-21       Impact factor: 6.208

4.  Biochemical and ligand binding properties of recombinant Xenopus laevis cortical granule lectin-1.

Authors:  Peerapon Deetanya; Thassanai Sitthiyotha; Nusara Chomanee; Surasak Chunsrivirot; Kittikhun Wangkanont
Journal:  Heliyon       Date:  2022-08-20

5.  Computational Design of 25-mer Peptide Binders of SARS-CoV-2.

Authors:  Thassanai Sitthiyotha; Surasak Chunsrivirot
Journal:  J Phys Chem B       Date:  2020-11-17       Impact factor: 2.991

6.  Computational design of SARS-CoV-2 peptide binders with better predicted binding affinities than human ACE2 receptor.

Authors:  Thassanai Sitthiyotha; Surasak Chunsrivirot
Journal:  Sci Rep       Date:  2021-08-02       Impact factor: 4.379

  6 in total

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