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

α-L-rhamnosidase catalyzes hydrolysis of the terminal α-L-rhamnose from various natural rhamnoglycosides, including naringin and hesperidin, and has various applications such as debittering of citrus juices in the food industry and flavonoid derhamnosylation in the pharmaceutical industry. However,...

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Main Authors: Thassanai Sitthiyotha, Methus Klaewkla, Kuakarun Krusong, Rath Pichyangkura, Surasak Chunsrivirot
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0268953
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author Thassanai Sitthiyotha
Methus Klaewkla
Kuakarun Krusong
Rath Pichyangkura
Surasak Chunsrivirot
author_facet Thassanai Sitthiyotha
Methus Klaewkla
Kuakarun Krusong
Rath Pichyangkura
Surasak Chunsrivirot
author_sort Thassanai Sitthiyotha
collection DOAJ
description α-L-rhamnosidase catalyzes hydrolysis of the terminal α-L-rhamnose from various natural rhamnoglycosides, including naringin and hesperidin, and has various applications such as debittering of citrus juices in the food industry and flavonoid derhamnosylation in the pharmaceutical industry. However, its activity is lost at high temperatures, limiting its usage. To improve Lactobacillus acidophilus α-L-rhamnosidase stability, we employed molecular dynamics (MD) to identify a highly flexible region, as evaluated by its root mean square fluctuation (RMSF) value, and computational protein design (Rosetta) to increase rigidity and favorable interactions of residues in highly flexible regions. MD results show that five regions have the highest flexibilities and were selected for design by Rosetta. Twenty-one designed mutants with the best ΔΔG at each position and ΔΔG < 0 REU were simulated at high temperature. Eight designed mutants with ΔRMSF of highly flexible regions lower than -10.0% were further simulated at the optimum temperature of the wild type. N88Q, N202V, G207D, Q209M, N211T and Y213K mutants were predicted to be more stable and could maintain their native structures better than the wild type due to increased hydrogen bond interactions of designed residues and their neighboring residues. These designed mutants are promising enzymes with high potential for stability improvement.
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spelling doaj.art-82f3c1061970419c92c075d5932db2912022-12-22T01:52:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01175e026895310.1371/journal.pone.0268953Computational design of Lactobacillus Acidophilus α-L-rhamnosidase to increase its structural stability.Thassanai SitthiyothaMethus KlaewklaKuakarun KrusongRath PichyangkuraSurasak Chunsrivirotα-L-rhamnosidase catalyzes hydrolysis of the terminal α-L-rhamnose from various natural rhamnoglycosides, including naringin and hesperidin, and has various applications such as debittering of citrus juices in the food industry and flavonoid derhamnosylation in the pharmaceutical industry. However, its activity is lost at high temperatures, limiting its usage. To improve Lactobacillus acidophilus α-L-rhamnosidase stability, we employed molecular dynamics (MD) to identify a highly flexible region, as evaluated by its root mean square fluctuation (RMSF) value, and computational protein design (Rosetta) to increase rigidity and favorable interactions of residues in highly flexible regions. MD results show that five regions have the highest flexibilities and were selected for design by Rosetta. Twenty-one designed mutants with the best ΔΔG at each position and ΔΔG < 0 REU were simulated at high temperature. Eight designed mutants with ΔRMSF of highly flexible regions lower than -10.0% were further simulated at the optimum temperature of the wild type. N88Q, N202V, G207D, Q209M, N211T and Y213K mutants were predicted to be more stable and could maintain their native structures better than the wild type due to increased hydrogen bond interactions of designed residues and their neighboring residues. These designed mutants are promising enzymes with high potential for stability improvement.https://doi.org/10.1371/journal.pone.0268953
spellingShingle Thassanai Sitthiyotha
Methus Klaewkla
Kuakarun Krusong
Rath Pichyangkura
Surasak Chunsrivirot
Computational design of Lactobacillus Acidophilus α-L-rhamnosidase to increase its structural stability.
PLoS ONE
title Computational design of Lactobacillus Acidophilus α-L-rhamnosidase to increase its structural stability.
title_full Computational design of Lactobacillus Acidophilus α-L-rhamnosidase to increase its structural stability.
title_fullStr Computational design of Lactobacillus Acidophilus α-L-rhamnosidase to increase its structural stability.
title_full_unstemmed Computational design of Lactobacillus Acidophilus α-L-rhamnosidase to increase its structural stability.
title_short Computational design of Lactobacillus Acidophilus α-L-rhamnosidase to increase its structural stability.
title_sort computational design of lactobacillus acidophilus α l rhamnosidase to increase its structural stability
url https://doi.org/10.1371/journal.pone.0268953
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AT kuakarunkrusong computationaldesignoflactobacillusacidophilusalrhamnosidasetoincreaseitsstructuralstability
AT rathpichyangkura computationaldesignoflactobacillusacidophilusalrhamnosidasetoincreaseitsstructuralstability
AT surasakchunsrivirot computationaldesignoflactobacillusacidophilusalrhamnosidasetoincreaseitsstructuralstability