Literature DB >> 30421671

Simulated Protein Thermal Detection (SPTD) for Enzyme Thermostability Study and an Application Example for Pullulanase from Bacillus deramificans.

Jian-Xiu Li1,2, Shu-Qing Wang3,4, Qi-Shi Du2,4, Hang Wei1,5, Xiao-Ming Li5, Jian-Zong Meng1,5, Qing-Yan Wang2, Neng-Zhong Xie2, Ri-Bo Huang1,2, Kuo-Chen Chou4.   

Abstract

BACKGROUND: The relationship between protein structure and its bioactivity is one of the fundamental problems for protein engineering and pharmaceutical design.
METHOD: A new method, called SPTD (Simulated Protein Thermal Detection), was proposed for studying and improving the thermal stability of enzymes. The method was based on the evidence observed by conducting the MD (Molecular Dynamics) simulation for all the atoms of an enzyme vibrating from the velocity at a room temperature (e.g., 25°C) to the desired working temperature (e.g., 65°C). According to the recorded MD trajectories and the coordinate deviations of the constituent residues under the two different temperatures, some new strategies have been found that are useful for both drug delivery and starch industry.
CONCLUSION: The SPTD technique presented in this paper may become a very useful tool for pharmaceutical design and protein engineering. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  B-factors; Simulated protein thermal detection; molecularzzm321990dynamics; protein engineering; pullulanase; site-directed mutation; thermal stability.

Year:  2018        PMID: 30421671     DOI: 10.2174/1381612824666181113120948

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  3 in total

1.  RAACBook: a web server of reduced amino acid alphabet for sequence-dependent inference by using Chou's five-step rule.

Authors:  Lei Zheng; Shenghui Huang; Nengjiang Mu; Haoyue Zhang; Jiayu Zhang; Yu Chang; Lei Yang; Yongchun Zuo
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

2.  iMethylK_pseAAC: Improving Accuracy of Lysine Methylation Sites Identification by Incorporating Statistical Moments and Position Relative Features into General PseAAC via Chou's 5-steps Rule.

Authors:  Sarah Ilyas; Waqar Hussain; Adeel Ashraf; Yaser Daanial Khan; Sher Afzal Khan; Kuo-Chen Chou
Journal:  Curr Genomics       Date:  2019-05       Impact factor: 2.236

3.  iSulfoTyr-PseAAC: Identify Tyrosine Sulfation Sites by Incorporating Statistical Moments via Chou's 5-steps Rule and Pseudo Components.

Authors:  Omar Barukab; Yaser Daanial Khan; Sher Afzal Khan; Kuo-Chen Chou
Journal:  Curr Genomics       Date:  2019-05       Impact factor: 2.236

  3 in total

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